From 5dbdb371fd576b7d8a33f537b198d82cb5a31102 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Mon, 28 Dec 2020 21:18:51 +0200
Subject: [PATCH 01/18] Pipfile

---
 experiments/charts/Pipfile      |   23 +
 experiments/charts/Pipfile.lock | 1091 +++++++++++++++++++++++++++++++
 2 files changed, 1114 insertions(+)
 create mode 100644 experiments/charts/Pipfile
 create mode 100644 experiments/charts/Pipfile.lock

diff --git a/experiments/charts/Pipfile b/experiments/charts/Pipfile
new file mode 100644
index 00000000..f5065a8c
--- /dev/null
+++ b/experiments/charts/Pipfile
@@ -0,0 +1,23 @@
+[[source]]
+name = "pypi"
+url = "https://pypi.org/simple"
+verify_ssl = true
+
+[dev-packages]
+
+[packages]
+bokeh = "*"
+jupyter = "*"
+jupyterlab = "*"
+jupytext = "*"
+matplotlib = "*"
+nb-black = "*"
+numpy = "*"
+pandas = "*"
+pytility = "*"
+scikit-learn = "*"
+scipy = "*"
+seaborn = "*"
+
+[requires]
+python_version = "3.8"
diff --git a/experiments/charts/Pipfile.lock b/experiments/charts/Pipfile.lock
new file mode 100644
index 00000000..5b174d75
--- /dev/null
+++ b/experiments/charts/Pipfile.lock
@@ -0,0 +1,1091 @@
+{
+    "_meta": {
+        "hash": {
+            "sha256": "e3ac87e20f7e96ba663b04d267b1be4e8983fc942b8c414beaa72fe7d844ff1e"
+        },
+        "pipfile-spec": 6,
+        "requires": {
+            "python_version": "3.8"
+        },
+        "sources": [
+            {
+                "name": "pypi",
+                "url": "https://pypi.org/simple",
+                "verify_ssl": true
+            }
+        ]
+    },
+    "default": {
+        "appdirs": {
+            "hashes": [
+                "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41",
+                "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"
+            ],
+            "version": "==1.4.4"
+        },
+        "appnope": {
+            "hashes": [
+                "sha256:5b26757dc6f79a3b7dc9fab95359328d5747fcb2409d331ea66d0272b90ab2a0",
+                "sha256:8b995ffe925347a2138d7ac0fe77155e4311a0ea6d6da4f5128fe4b3cbe5ed71"
+            ],
+            "markers": "sys_platform == 'darwin' and platform_system == 'Darwin'",
+            "version": "==0.1.0"
+        },
+        "argon2-cffi": {
+            "hashes": [
+                "sha256:05a8ac07c7026542377e38389638a8a1e9b78f1cd8439cd7493b39f08dd75fbf",
+                "sha256:0bf066bc049332489bb2d75f69216416329d9dc65deee127152caeb16e5ce7d5",
+                "sha256:18dee20e25e4be86680b178b35ccfc5d495ebd5792cd00781548d50880fee5c5",
+                "sha256:392c3c2ef91d12da510cfb6f9bae52512a4552573a9e27600bdb800e05905d2b",
+                "sha256:57358570592c46c420300ec94f2ff3b32cbccd10d38bdc12dc6979c4a8484fbc",
+                "sha256:6678bb047373f52bcff02db8afab0d2a77d83bde61cfecea7c5c62e2335cb203",
+                "sha256:6ea92c980586931a816d61e4faf6c192b4abce89aa767ff6581e6ddc985ed003",
+                "sha256:77e909cc756ef81d6abb60524d259d959bab384832f0c651ed7dcb6e5ccdbb78",
+                "sha256:7d455c802727710e9dfa69b74ccaab04568386ca17b0ad36350b622cd34606fe",
+                "sha256:8a84934bd818e14a17943de8099d41160da4a336bcc699bb4c394bbb9b94bd32",
+                "sha256:9bee3212ba4f560af397b6d7146848c32a800652301843df06b9e8f68f0f7361",
+                "sha256:9dfd5197852530294ecb5795c97a823839258dfd5eb9420233c7cfedec2058f2",
+                "sha256:b160416adc0f012fb1f12588a5e6954889510f82f698e23ed4f4fa57f12a0647",
+                "sha256:ba7209b608945b889457f949cc04c8e762bed4fe3fec88ae9a6b7765ae82e496",
+                "sha256:cc0e028b209a5483b6846053d5fd7165f460a1f14774d79e632e75e7ae64b82b",
+                "sha256:d8029b2d3e4b4cea770e9e5a0104dd8fa185c1724a0f01528ae4826a6d25f97d",
+                "sha256:da7f0445b71db6d3a72462e04f36544b0de871289b0bc8a7cc87c0f5ec7079fa",
+                "sha256:e2db6e85c057c16d0bd3b4d2b04f270a7467c147381e8fd73cbbe5bc719832be"
+            ],
+            "version": "==20.1.0"
+        },
+        "async-generator": {
+            "hashes": [
+                "sha256:01c7bf666359b4967d2cda0000cc2e4af16a0ae098cbffcb8472fb9e8ad6585b",
+                "sha256:6ebb3d106c12920aaae42ccb6f787ef5eefdcdd166ea3d628fa8476abe712144"
+            ],
+            "markers": "python_version >= '3.5'",
+            "version": "==1.10"
+        },
+        "attrs": {
+            "hashes": [
+                "sha256:31b2eced602aa8423c2aea9c76a724617ed67cf9513173fd3a4f03e3a929c7e6",
+                "sha256:832aa3cde19744e49938b91fea06d69ecb9e649c93ba974535d08ad92164f700"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
+            "version": "==20.3.0"
+        },
+        "backcall": {
+            "hashes": [
+                "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e",
+                "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"
+            ],
+            "version": "==0.2.0"
+        },
+        "black": {
+            "hashes": [
+                "sha256:1c02557aa099101b9d21496f8a914e9ed2222ef70336404eeeac8edba836fbea"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==20.8b1"
+        },
+        "bleach": {
+            "hashes": [
+                "sha256:52b5919b81842b1854196eaae5ca29679a2f2e378905c346d3ca8227c2c66080",
+                "sha256:9f8ccbeb6183c6e6cddea37592dfb0167485c1e3b13b3363bc325aa8bda3adbd"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
+            "version": "==3.2.1"
+        },
+        "bokeh": {
+            "hashes": [
+                "sha256:c4a3f97afe5f525019dd58ee8c4e3d43f53fe1b1ac264ccaae9b02c07b2abc17"
+            ],
+            "index": "pypi",
+            "version": "==2.2.3"
+        },
+        "certifi": {
+            "hashes": [
+                "sha256:1f422849db327d534e3d0c5f02a263458c3955ec0aae4ff09b95f195c59f4edd",
+                "sha256:f05def092c44fbf25834a51509ef6e631dc19765ab8a57b4e7ab85531f0a9cf4"
+            ],
+            "version": "==2020.11.8"
+        },
+        "cffi": {
+            "hashes": [
+                "sha256:00a1ba5e2e95684448de9b89888ccd02c98d512064b4cb987d48f4b40aa0421e",
+                "sha256:00e28066507bfc3fe865a31f325c8391a1ac2916219340f87dfad602c3e48e5d",
+                "sha256:045d792900a75e8b1e1b0ab6787dd733a8190ffcf80e8c8ceb2fb10a29ff238a",
+                "sha256:0638c3ae1a0edfb77c6765d487fee624d2b1ee1bdfeffc1f0b58c64d149e7eec",
+                "sha256:105abaf8a6075dc96c1fe5ae7aae073f4696f2905fde6aeada4c9d2926752362",
+                "sha256:155136b51fd733fa94e1c2ea5211dcd4c8879869008fc811648f16541bf99668",
+                "sha256:1a465cbe98a7fd391d47dce4b8f7e5b921e6cd805ef421d04f5f66ba8f06086c",
+                "sha256:1d2c4994f515e5b485fd6d3a73d05526aa0fcf248eb135996b088d25dfa1865b",
+                "sha256:2c24d61263f511551f740d1a065eb0212db1dbbbbd241db758f5244281590c06",
+                "sha256:51a8b381b16ddd370178a65360ebe15fbc1c71cf6f584613a7ea08bfad946698",
+                "sha256:594234691ac0e9b770aee9fcdb8fa02c22e43e5c619456efd0d6c2bf276f3eb2",
+                "sha256:5cf4be6c304ad0b6602f5c4e90e2f59b47653ac1ed9c662ed379fe48a8f26b0c",
+                "sha256:64081b3f8f6f3c3de6191ec89d7dc6c86a8a43911f7ecb422c60e90c70be41c7",
+                "sha256:6bc25fc545a6b3d57b5f8618e59fc13d3a3a68431e8ca5fd4c13241cd70d0009",
+                "sha256:798caa2a2384b1cbe8a2a139d80734c9db54f9cc155c99d7cc92441a23871c03",
+                "sha256:7c6b1dece89874d9541fc974917b631406233ea0440d0bdfbb8e03bf39a49b3b",
+                "sha256:840793c68105fe031f34d6a086eaea153a0cd5c491cde82a74b420edd0a2b909",
+                "sha256:8d6603078baf4e11edc4168a514c5ce5b3ba6e3e9c374298cb88437957960a53",
+                "sha256:9cc46bc107224ff5b6d04369e7c595acb700c3613ad7bcf2e2012f62ece80c35",
+                "sha256:9f7a31251289b2ab6d4012f6e83e58bc3b96bd151f5b5262467f4bb6b34a7c26",
+                "sha256:9ffb888f19d54a4d4dfd4b3f29bc2c16aa4972f1c2ab9c4ab09b8ab8685b9c2b",
+                "sha256:a7711edca4dcef1a75257b50a2fbfe92a65187c47dab5a0f1b9b332c5919a3fb",
+                "sha256:af5c59122a011049aad5dd87424b8e65a80e4a6477419c0c1015f73fb5ea0293",
+                "sha256:b18e0a9ef57d2b41f5c68beefa32317d286c3d6ac0484efd10d6e07491bb95dd",
+                "sha256:b4e248d1087abf9f4c10f3c398896c87ce82a9856494a7155823eb45a892395d",
+                "sha256:ba4e9e0ae13fc41c6b23299545e5ef73055213e466bd107953e4a013a5ddd7e3",
+                "sha256:c6332685306b6417a91b1ff9fae889b3ba65c2292d64bd9245c093b1b284809d",
+                "sha256:d9efd8b7a3ef378dd61a1e77367f1924375befc2eba06168b6ebfa903a5e59ca",
+                "sha256:df5169c4396adc04f9b0a05f13c074df878b6052430e03f50e68adf3a57aa28d",
+                "sha256:ebb253464a5d0482b191274f1c8bf00e33f7e0b9c66405fbffc61ed2c839c775",
+                "sha256:ec80dc47f54e6e9a78181ce05feb71a0353854cc26999db963695f950b5fb375",
+                "sha256:f032b34669220030f905152045dfa27741ce1a6db3324a5bc0b96b6c7420c87b",
+                "sha256:f60567825f791c6f8a592f3c6e3bd93dd2934e3f9dac189308426bd76b00ef3b",
+                "sha256:f803eaa94c2fcda012c047e62bc7a51b0bdabda1cad7a92a522694ea2d76e49f"
+            ],
+            "version": "==1.14.4"
+        },
+        "chardet": {
+            "hashes": [
+                "sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
+                "sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
+            ],
+            "version": "==3.0.4"
+        },
+        "click": {
+            "hashes": [
+                "sha256:d2b5255c7c6349bc1bd1e59e08cd12acbbd63ce649f2588755783aa94dfb6b1a",
+                "sha256:dacca89f4bfadd5de3d7489b7c8a566eee0d3676333fbb50030263894c38c0dc"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
+            "version": "==7.1.2"
+        },
+        "cycler": {
+            "hashes": [
+                "sha256:1d8a5ae1ff6c5cf9b93e8811e581232ad8920aeec647c37316ceac982b08cb2d",
+                "sha256:cd7b2d1018258d7247a71425e9f26463dfb444d411c39569972f4ce586b0c9d8"
+            ],
+            "version": "==0.10.0"
+        },
+        "decorator": {
+            "hashes": [
+                "sha256:41fa54c2a0cc4ba648be4fd43cff00aedf5b9465c9bf18d64325bc225f08f760",
+                "sha256:e3a62f0520172440ca0dcc823749319382e377f37f140a0b99ef45fecb84bfe7"
+            ],
+            "version": "==4.4.2"
+        },
+        "defusedxml": {
+            "hashes": [
+                "sha256:6687150770438374ab581bb7a1b327a847dd9c5749e396102de3fad4e8a3ef93",
+                "sha256:f684034d135af4c6cbb949b8a4d2ed61634515257a67299e5f940fbaa34377f5"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
+            "version": "==0.6.0"
+        },
+        "entrypoints": {
+            "hashes": [
+                "sha256:589f874b313739ad35be6e0cd7efde2a4e9b6fea91edcc34e58ecbb8dbe56d19",
+                "sha256:c70dd71abe5a8c85e55e12c19bd91ccfeec11a6e99044204511f9ed547d48451"
+            ],
+            "markers": "python_version >= '2.7'",
+            "version": "==0.3"
+        },
+        "idna": {
+            "hashes": [
+                "sha256:b307872f855b18632ce0c21c5e45be78c0ea7ae4c15c828c20788b26921eb3f6",
+                "sha256:b97d804b1e9b523befed77c48dacec60e6dcb0b5391d57af6a65a312a90648c0"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
+            "version": "==2.10"
+        },
+        "ipykernel": {
+            "hashes": [
+                "sha256:9b2652af1607986a1b231c62302d070bc0534f564c393a5d9d130db9abbbe89d",
+                "sha256:d6fbba26dba3cebd411382bc484f7bc2caa98427ae0ddb4ab37fe8bfeb5c7dd3"
+            ],
+            "markers": "python_version >= '3.5'",
+            "version": "==5.3.4"
+        },
+        "ipython": {
+            "hashes": [
+                "sha256:c987e8178ced651532b3b1ff9965925bfd445c279239697052561a9ab806d28f",
+                "sha256:cbb2ef3d5961d44e6a963b9817d4ea4e1fa2eb589c371a470fed14d8d40cbd6a"
+            ],
+            "markers": "python_version >= '3.3'",
+            "version": "==7.19.0"
+        },
+        "ipython-genutils": {
+            "hashes": [
+                "sha256:72dd37233799e619666c9f639a9da83c34013a73e8bbc79a7a6348d93c61fab8",
+                "sha256:eb2e116e75ecef9d4d228fdc66af54269afa26ab4463042e33785b887c628ba8"
+            ],
+            "version": "==0.2.0"
+        },
+        "ipywidgets": {
+            "hashes": [
+                "sha256:13ffeca438e0c0f91ae583dc22f50379b9d6b28390ac7be8b757140e9a771516",
+                "sha256:e945f6e02854a74994c596d9db83444a1850c01648f1574adf144fbbabe05c97"
+            ],
+            "version": "==7.5.1"
+        },
+        "jedi": {
+            "hashes": [
+                "sha256:86ed7d9b750603e4ba582ea8edc678657fb4007894a12bcf6f4bb97892f31d20",
+                "sha256:98cc583fa0f2f8304968199b01b6b4b94f469a1f4a74c1560506ca2a211378b5"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
+            "version": "==0.17.2"
+        },
+        "jinja2": {
+            "hashes": [
+                "sha256:89aab215427ef59c34ad58735269eb58b1a5808103067f7bb9d5836c651b3bb0",
+                "sha256:f0a4641d3cf955324a89c04f3d94663aa4d638abe8f733ecd3582848e1c37035"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
+            "version": "==2.11.2"
+        },
+        "joblib": {
+            "hashes": [
+                "sha256:698c311779f347cf6b7e6b8a39bb682277b8ee4aba8cf9507bc0cf4cd4737b72",
+                "sha256:9e284edd6be6b71883a63c9b7f124738a3c16195513ad940eae7e3438de885d5"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==0.17.0"
+        },
+        "json5": {
+            "hashes": [
+                "sha256:703cfee540790576b56a92e1c6aaa6c4b0d98971dc358ead83812aa4d06bdb96",
+                "sha256:af1a1b9a2850c7f62c23fde18be4749b3599fd302f494eebf957e2ada6b9e42c"
+            ],
+            "version": "==0.9.5"
+        },
+        "jsonschema": {
+            "hashes": [
+                "sha256:4e5b3cf8216f577bee9ce139cbe72eca3ea4f292ec60928ff24758ce626cd163",
+                "sha256:c8a85b28d377cc7737e46e2d9f2b4f44ee3c0e1deac6bf46ddefc7187d30797a"
+            ],
+            "version": "==3.2.0"
+        },
+        "jupyter": {
+            "hashes": [
+                "sha256:3e1f86076bbb7c8c207829390305a2b1fe836d471ed54be66a3b8c41e7f46cc7",
+                "sha256:5b290f93b98ffbc21c0c7e749f054b3267782166d72fa5e3ed1ed4eaf34a2b78",
+                "sha256:d9dc4b3318f310e34c82951ea5d6683f67bed7def4b259fafbfe4f1beb1d8e5f"
+            ],
+            "index": "pypi",
+            "version": "==1.0.0"
+        },
+        "jupyter-client": {
+            "hashes": [
+                "sha256:49e390b36fe4b4226724704ea28d9fb903f1a3601b6882ce3105221cd09377a1",
+                "sha256:c958d24d6eacb975c1acebb68ac9077da61b5f5c040f22f6849928ad7393b950"
+            ],
+            "markers": "python_version >= '3.5'",
+            "version": "==6.1.7"
+        },
+        "jupyter-console": {
+            "hashes": [
+                "sha256:1d80c06b2d85bfb10bd5cc731b3db18e9023bc81ab00491d3ac31f206490aee3",
+                "sha256:7f6194f4f4692d292da3f501c7f343ccd5e36c6a1becf7b7515e23e66d6bf1e9"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==6.2.0"
+        },
+        "jupyter-core": {
+            "hashes": [
+                "sha256:0a451c9b295e4db772bdd8d06f2f1eb31caeec0e81fbb77ba37d4a3024e3b315",
+                "sha256:aa1f9496ab3abe72da4efe0daab0cb2233997914581f9a071e07498c6add8ed3"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==4.7.0"
+        },
+        "jupyterlab": {
+            "hashes": [
+                "sha256:3be8f8edea173753dd838c1b6d3bbcb6f5c801121f824a477025c1b6a1d33dc6",
+                "sha256:59af02c26a15ec2d2862a15bc72e41ae304b406a0b0d3f4f705eeb7caf91902b"
+            ],
+            "index": "pypi",
+            "version": "==2.2.9"
+        },
+        "jupyterlab-pygments": {
+            "hashes": [
+                "sha256:abfb880fd1561987efaefcb2d2ac75145d2a5d0139b1876d5be806e32f630008",
+                "sha256:cfcda0873626150932f438eccf0f8bf22bfa92345b814890ab360d666b254146"
+            ],
+            "version": "==0.1.2"
+        },
+        "jupyterlab-server": {
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+        },
+        "wcwidth": {
+            "hashes": [
+                "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784",
+                "sha256:c4d647b99872929fdb7bdcaa4fbe7f01413ed3d98077df798530e5b04f116c83"
+            ],
+            "version": "==0.2.5"
+        },
+        "webencodings": {
+            "hashes": [
+                "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78",
+                "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"
+            ],
+            "version": "==0.5.1"
+        },
+        "widgetsnbextension": {
+            "hashes": [
+                "sha256:079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7",
+                "sha256:bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"
+            ],
+            "version": "==3.5.1"
+        }
+    },
+    "develop": {}
+}
-- 
GitLab


From 51c512da2208b33f33c3100fbc3cea5b05ea832a Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Mon, 28 Dec 2020 21:21:26 +0200
Subject: [PATCH 02/18] updated Pipfile.lock

---
 experiments/charts/Pipfile.lock | 273 ++++++++++++++++++++------------
 1 file changed, 168 insertions(+), 105 deletions(-)

diff --git a/experiments/charts/Pipfile.lock b/experiments/charts/Pipfile.lock
index 5b174d75..94014762 100644
--- a/experiments/charts/Pipfile.lock
+++ b/experiments/charts/Pipfile.lock
@@ -16,6 +16,14 @@
         ]
     },
     "default": {
+        "anyio": {
+            "hashes": [
+                "sha256:01cce0087b8fd8b6b7e629dc11505dcde02f916ce903332892cb2ae9817b597d",
+                "sha256:35075abd32cf20fd7e0be2fee3614e80b92d5392eba257c8d2f33de3df7ca237"
+            ],
+            "markers": "python_full_version >= '3.6.2'",
+            "version": "==2.0.2"
+        },
         "appdirs": {
             "hashes": [
                 "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41",
@@ -25,11 +33,11 @@
         },
         "appnope": {
             "hashes": [
-                "sha256:5b26757dc6f79a3b7dc9fab95359328d5747fcb2409d331ea66d0272b90ab2a0",
-                "sha256:8b995ffe925347a2138d7ac0fe77155e4311a0ea6d6da4f5128fe4b3cbe5ed71"
+                "sha256:93aa393e9d6c54c5cd570ccadd8edad61ea0c4b9ea7a01409020c9aa019eb442",
+                "sha256:dd83cd4b5b460958838f6eb3000c660b1f9caf2a5b1de4264e941512f603258a"
             ],
             "markers": "sys_platform == 'darwin' and platform_system == 'Darwin'",
-            "version": "==0.1.0"
+            "version": "==0.1.2"
         },
         "argon2-cffi": {
             "hashes": [
@@ -70,6 +78,14 @@
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==20.3.0"
         },
+        "babel": {
+            "hashes": [
+                "sha256:9d35c22fcc79893c3ecc85ac4a56cde1ecf3f19c540bba0922308a6c06ca6fa5",
+                "sha256:da031ab54472314f210b0adcff1588ee5d1d1d0ba4dbd07b94dba82bde791e05"
+            ],
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
+            "version": "==2.9.0"
+        },
         "backcall": {
             "hashes": [
                 "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e",
@@ -101,10 +117,10 @@
         },
         "certifi": {
             "hashes": [
-                "sha256:1f422849db327d534e3d0c5f02a263458c3955ec0aae4ff09b95f195c59f4edd",
-                "sha256:f05def092c44fbf25834a51509ef6e631dc19765ab8a57b4e7ab85531f0a9cf4"
+                "sha256:1a4995114262bffbc2413b159f2a1a480c969de6e6eb13ee966d470af86af59c",
+                "sha256:719a74fb9e33b9bd44cc7f3a8d94bc35e4049deebe19ba7d8e108280cfd59830"
             ],
-            "version": "==2020.11.8"
+            "version": "==2020.12.5"
         },
         "cffi": {
             "hashes": [
@@ -129,12 +145,14 @@
                 "sha256:9cc46bc107224ff5b6d04369e7c595acb700c3613ad7bcf2e2012f62ece80c35",
                 "sha256:9f7a31251289b2ab6d4012f6e83e58bc3b96bd151f5b5262467f4bb6b34a7c26",
                 "sha256:9ffb888f19d54a4d4dfd4b3f29bc2c16aa4972f1c2ab9c4ab09b8ab8685b9c2b",
+                "sha256:a5ed8c05548b54b998b9498753fb9cadbfd92ee88e884641377d8a8b291bcc01",
                 "sha256:a7711edca4dcef1a75257b50a2fbfe92a65187c47dab5a0f1b9b332c5919a3fb",
                 "sha256:af5c59122a011049aad5dd87424b8e65a80e4a6477419c0c1015f73fb5ea0293",
                 "sha256:b18e0a9ef57d2b41f5c68beefa32317d286c3d6ac0484efd10d6e07491bb95dd",
                 "sha256:b4e248d1087abf9f4c10f3c398896c87ce82a9856494a7155823eb45a892395d",
                 "sha256:ba4e9e0ae13fc41c6b23299545e5ef73055213e466bd107953e4a013a5ddd7e3",
                 "sha256:c6332685306b6417a91b1ff9fae889b3ba65c2292d64bd9245c093b1b284809d",
+                "sha256:d5ff0621c88ce83a28a10d2ce719b2ee85635e85c515f12bac99a95306da4b2e",
                 "sha256:d9efd8b7a3ef378dd61a1e77367f1924375befc2eba06168b6ebfa903a5e59ca",
                 "sha256:df5169c4396adc04f9b0a05f13c074df878b6052430e03f50e68adf3a57aa28d",
                 "sha256:ebb253464a5d0482b191274f1c8bf00e33f7e0b9c66405fbffc61ed2c839c775",
@@ -147,10 +165,11 @@
         },
         "chardet": {
             "hashes": [
-                "sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
-                "sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
+                "sha256:0d6f53a15db4120f2b08c94f11e7d93d2c911ee118b6b30a04ec3ee8310179fa",
+                "sha256:f864054d66fd9118f2e67044ac8981a54775ec5b67aed0441892edb553d21da5"
             ],
-            "version": "==3.0.4"
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
+            "version": "==4.0.0"
         },
         "click": {
             "hashes": [
@@ -200,11 +219,11 @@
         },
         "ipykernel": {
             "hashes": [
-                "sha256:9b2652af1607986a1b231c62302d070bc0534f564c393a5d9d130db9abbbe89d",
-                "sha256:d6fbba26dba3cebd411382bc484f7bc2caa98427ae0ddb4ab37fe8bfeb5c7dd3"
+                "sha256:63b4b96c513e1138874934e3e783a8e5e13c02b9036e37107bfe042ac8955005",
+                "sha256:e20ceb7e52cb4d250452e1230be76e0b2323f33bd46c6b2bc7abb6601740e182"
             ],
             "markers": "python_version >= '3.5'",
-            "version": "==5.3.4"
+            "version": "==5.4.2"
         },
         "ipython": {
             "hashes": [
@@ -223,18 +242,18 @@
         },
         "ipywidgets": {
             "hashes": [
-                "sha256:13ffeca438e0c0f91ae583dc22f50379b9d6b28390ac7be8b757140e9a771516",
-                "sha256:e945f6e02854a74994c596d9db83444a1850c01648f1574adf144fbbabe05c97"
+                "sha256:bbb881ce18fb0cff4ac718f40c04709c7ac86a77abee149f1b447965ede86e36",
+                "sha256:eab960f737f380075cabca41f92e5e81dfb6eba3ce6392094469ef2418ca4d35"
             ],
-            "version": "==7.5.1"
+            "version": "==7.6.2"
         },
         "jedi": {
             "hashes": [
-                "sha256:86ed7d9b750603e4ba582ea8edc678657fb4007894a12bcf6f4bb97892f31d20",
-                "sha256:98cc583fa0f2f8304968199b01b6b4b94f469a1f4a74c1560506ca2a211378b5"
+                "sha256:18456d83f65f400ab0c2d3319e48520420ef43b23a086fdc05dff34132f0fb93",
+                "sha256:92550a404bad8afed881a137ec9a461fed49eca661414be45059329614ed0707"
             ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==0.17.2"
+            "markers": "python_version >= '3.6'",
+            "version": "==0.18.0"
         },
         "jinja2": {
             "hashes": [
@@ -246,11 +265,11 @@
         },
         "joblib": {
             "hashes": [
-                "sha256:698c311779f347cf6b7e6b8a39bb682277b8ee4aba8cf9507bc0cf4cd4737b72",
-                "sha256:9e284edd6be6b71883a63c9b7f124738a3c16195513ad940eae7e3438de885d5"
+                "sha256:75ead23f13484a2a414874779d69ade40d4fa1abe62b222a23cd50d4bc822f6f",
+                "sha256:7ad866067ac1fdec27d51c8678ea760601b70e32ff1881d4dc8e1171f2b64b24"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==0.17.0"
+            "version": "==1.0.0"
         },
         "json5": {
             "hashes": [
@@ -299,13 +318,21 @@
             "markers": "python_version >= '3.6'",
             "version": "==4.7.0"
         },
+        "jupyter-server": {
+            "hashes": [
+                "sha256:1c684fa73cad376b09f307ce817be50a50bca78c8be52aa059ec5481098dba1f",
+                "sha256:23ce959718592ba472db7982a5daf15dda3397fd50bb54d05ad10c09fe122905"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==1.1.3"
+        },
         "jupyterlab": {
             "hashes": [
-                "sha256:3be8f8edea173753dd838c1b6d3bbcb6f5c801121f824a477025c1b6a1d33dc6",
-                "sha256:59af02c26a15ec2d2862a15bc72e41ae304b406a0b0d3f4f705eeb7caf91902b"
+                "sha256:15228dff3f77b0bca795fd232cb25f02121510cec83f1d25856b3bc8e585b087",
+                "sha256:42cf1b8c7ebe4e2a502f8538b852c3d553ddde21cb5da6085c4b6bfe67b34fa6"
             ],
             "index": "pypi",
-            "version": "==2.2.9"
+            "version": "==3.0.0"
         },
         "jupyterlab-pygments": {
             "hashes": [
@@ -316,19 +343,27 @@
         },
         "jupyterlab-server": {
             "hashes": [
-                "sha256:5431d9dde96659364b7cc877693d5d21e7b80cea7ae3959ecc2b87518e5f5d8c",
-                "sha256:55d256077bf13e5bc9e8fbd5aac51bef82f6315111cec6b712b9a5ededbba924"
+                "sha256:1350c36954d3d16c71129b30b60b9df11e8fcf2f3acf88596f6abc8a79b0c918",
+                "sha256:20a4e495276956528783c0befab58e409d9f6258589caccb4c0591387caadc84"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==2.0.0"
+        },
+        "jupyterlab-widgets": {
+            "hashes": [
+                "sha256:5c1a29a84d3069208cb506b10609175b249b6486d6b1cbae8fcde2a11584fb78",
+                "sha256:caeaf3e6103180e654e7d8d2b81b7d645e59e432487c1d35a41d6d3ee56b3fef"
             ],
             "markers": "python_version >= '3.5'",
-            "version": "==1.2.0"
+            "version": "==1.0.0"
         },
         "jupytext": {
             "hashes": [
-                "sha256:23123b90c267c67716fe6a022dfae49b84fd3809370d83211f2920eb3106bf40",
-                "sha256:e48f57afdc807cc2d2920bd6ae18455264db78b1fc78061ad70dcc26dc45a2cb"
+                "sha256:0643797c30e7a2b15a4d2d269a74b52ca1a6e982f7927c4da03e339cd7214437",
+                "sha256:e7f85424b4bd7c012ea0b9f1232f1da27b099aa9d818b8d95c4af108607d9254"
             ],
             "index": "pypi",
-            "version": "==1.7.1"
+            "version": "==1.8.0"
         },
         "kiwisolver": {
             "hashes": [
@@ -370,11 +405,11 @@
         },
         "markdown-it-py": {
             "hashes": [
-                "sha256:6143d11221495edbf71beb7e455821ae6c8f0156710a1b11812662ed6dbd165b",
-                "sha256:dcfe4a0c6bef711cb6c42494ebf23a3cfe6f249bf995556498497dd8193bfc22"
+                "sha256:1c1413df39ef7baa55bca755d32c565d72e8b4114dcdd3da65eb468a61886659",
+                "sha256:f90912a0ff1ac328627d1551bd5a17bce0ef1d483df222d460336e59213c6d29"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==0.5.6"
+            "markers": "python_version ~= '3.6'",
+            "version": "==0.6.0"
         },
         "markupsafe": {
             "hashes": [
@@ -446,6 +481,14 @@
             "index": "pypi",
             "version": "==3.3.3"
         },
+        "mdit-py-plugins": {
+            "hashes": [
+                "sha256:e7db0de4a3466941faa433f77a98d09a09a0b877e79eace79506fd0d083e490f",
+                "sha256:f13ad035e977db0dd268af4a372716f3b555f1435f9623b4aed10c3c8bbf618c"
+            ],
+            "markers": "python_version ~= '3.6'",
+            "version": "==0.2.4"
+        },
         "mistune": {
             "hashes": [
                 "sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e",
@@ -467,6 +510,14 @@
             "index": "pypi",
             "version": "==1.0.7"
         },
+        "nbclassic": {
+            "hashes": [
+                "sha256:96ffc2b5e01e06825c7558066fc66f2dff00fc7a499ad4988738fda076d5587a",
+                "sha256:e6da2116ab76a63de62f42cf8ea93c9a0c564aaf8315834f7c52efb85b4640ab"
+            ],
+            "markers": "python_version >= '3.6'",
+            "version": "==0.2.5"
+        },
         "nbclient": {
             "hashes": [
                 "sha256:01e2d726d16eaf2cde6db74a87e2451453547e8832d142f73f72fddcd4fe0250",
@@ -501,11 +552,11 @@
         },
         "notebook": {
             "hashes": [
-                "sha256:3db37ae834c5f3b6378381229d0e5dfcbfb558d08c8ce646b1ad355147f5e91d",
-                "sha256:508cf9dad7cdb3188f1aa27017dc78179029dfe83814fc505329f689bc2ab50f"
+                "sha256:cf40d4f81541401db5a2fda1707ca7877157abd41f04ef7b88f02b67f3c61791",
+                "sha256:e6a62188e319a5d45dd2ed24719f646adf88bef8be1f654ebd0ab360ece6d7a6"
             ],
             "markers": "python_version >= '3.5'",
-            "version": "==6.1.5"
+            "version": "==6.1.6"
         },
         "numpy": {
             "hashes": [
@@ -549,41 +600,34 @@
         },
         "packaging": {
             "hashes": [
-                "sha256:05af3bb85d320377db281cf254ab050e1a7ebcbf5410685a9a407e18a1f81236",
-                "sha256:eb41423378682dadb7166144a4926e443093863024de508ca5c9737d6bc08376"
+                "sha256:24e0da08660a87484d1602c30bb4902d74816b6985b93de36926f5bc95741858",
+                "sha256:78598185a7008a470d64526a8059de9aaa449238f280fc9eb6b13ba6c4109093"
             ],
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
-            "version": "==20.7"
+            "version": "==20.8"
         },
         "pandas": {
             "hashes": [
-                "sha256:09e0503758ad61afe81c9069505f8cb8c1e36ea8cc1e6826a95823ef5b327daf",
-                "sha256:0a11a6290ef3667575cbd4785a1b62d658c25a2fd70a5adedba32e156a8f1773",
-                "sha256:0d9a38a59242a2f6298fff45d09768b78b6eb0c52af5919ea9e45965d7ba56d9",
-                "sha256:112c5ba0f9ea0f60b2cc38c25f87ca1d5ca10f71efbee8e0f1bee9cf584ed5d5",
-                "sha256:185cf8c8f38b169dbf7001e1a88c511f653fbb9dfa3e048f5e19c38049e991dc",
-                "sha256:3aa8e10768c730cc1b610aca688f588831fa70b65a26cb549fbb9f35049a05e0",
-                "sha256:41746d520f2b50409dffdba29a15c42caa7babae15616bcf80800d8cfcae3d3e",
-                "sha256:43cea38cbcadb900829858884f49745eb1f42f92609d368cabcc674b03e90efc",
-                "sha256:5378f58172bd63d8c16dd5d008d7dcdd55bf803fcdbe7da2dcb65dbbf322f05b",
-                "sha256:54404abb1cd3f89d01f1fb5350607815326790efb4789be60508f458cdd5ccbf",
-                "sha256:5dac3aeaac5feb1016e94bde851eb2012d1733a222b8afa788202b836c97dad5",
-                "sha256:5fdb2a61e477ce58d3f1fdf2470ee142d9f0dde4969032edaf0b8f1a9dafeaa2",
-                "sha256:6613c7815ee0b20222178ad32ec144061cb07e6a746970c9160af1ebe3ad43b4",
-                "sha256:6d2b5b58e7df46b2c010ec78d7fb9ab20abf1d306d0614d3432e7478993fbdb0",
-                "sha256:8a5d7e57b9df2c0a9a202840b2881bb1f7a648eba12dd2d919ac07a33a36a97f",
-                "sha256:8b4c2055ebd6e497e5ecc06efa5b8aa76f59d15233356eb10dad22a03b757805",
-                "sha256:a15653480e5b92ee376f8458197a58cca89a6e95d12cccb4c2d933df5cecc63f",
-                "sha256:a7d2547b601ecc9a53fd41561de49a43d2231728ad65c7713d6b616cd02ddbed",
-                "sha256:a979d0404b135c63954dea79e6246c45dd45371a88631cdbb4877d844e6de3b6",
-                "sha256:b1f8111635700de7ac350b639e7e452b06fc541a328cf6193cf8fc638804bab8",
-                "sha256:c5a3597880a7a29a31ebd39b73b2c824316ae63a05c3c8a5ce2aea3fc68afe35",
-                "sha256:c681e8fcc47a767bf868341d8f0d76923733cbdcabd6ec3a3560695c69f14a1e",
-                "sha256:cf135a08f306ebbcfea6da8bf775217613917be23e5074c69215b91e180caab4",
-                "sha256:e2b8557fe6d0a18db4d61c028c6af61bfed44ef90e419ed6fadbdc079eba141e"
+                "sha256:0be6102dd99910513e75ed6536284743ead810349c51bdeadd2a5b6649f30abb",
+                "sha256:272675a98fa4954b9fc0933df775596fc942e50015d7e75d8f19548808a2bfdf",
+                "sha256:2d8b4f532db37418121831a461fd107d826c240b098f52e7a1b4ab3d5aaa4fb2",
+                "sha256:33318fa24b192b1a4684347ff76679a7267fd4e547da9f71556a5914f0dc10e7",
+                "sha256:3bc6d2be03cb75981d8cbeda09503cd9d6d699fc0dc28a65e197165ad527b7b8",
+                "sha256:43482789c55cbabeed9482263cfc98a11e8fcae900cb63ef038948acb4a72570",
+                "sha256:616478c1bd8fe1e600f521ae2da434e021c11e7a4e5da3451d02906143d3629a",
+                "sha256:6c1a57e4d0d6f9633a07817c44e6b36d81c265fe4c52d0c0505513a2d0f7953c",
+                "sha256:7904ee438549b5223ce8dc008772458dd7c5cf0ccc64cf903e81202400702235",
+                "sha256:7b54c14130a3448d81eed1348f52429c23e27188d9db6e6d4afeae792bc49c11",
+                "sha256:8f92b07cdbfa3704d85b4264e52c216cafe6c0059b0d07cdad8cb29e0b90f2b8",
+                "sha256:91fd0b94e7b98528177a05e6f65efea79d7ef9dec15ee48c7c69fc39fdd87235",
+                "sha256:9c6692cea6d56da8650847172bdb148622f545e7782d17995822434c79d7a211",
+                "sha256:9e18631d996fe131de6cb31a8bdae18965cc8f39eb23fdfbbf42808ecc63dabf",
+                "sha256:cba93d4fd3b0a42858b2b599495aff793fb5d94587979f45a14177d1217ba446",
+                "sha256:e03386615b970b8b41da6a68afe717626741bb2431cec993640685614c0680e4",
+                "sha256:f8b87d2f541cd9bc4ecfe85a561abac85c33fe4de4ce70cca36b2768af2611f5"
             ],
             "index": "pypi",
-            "version": "==1.1.4"
+            "version": "==1.2.0"
         },
         "pandocfilters": {
             "hashes": [
@@ -593,11 +637,11 @@
         },
         "parso": {
             "hashes": [
-                "sha256:97218d9159b2520ff45eb78028ba8b50d2bc61dcc062a9682666f2dc4bd331ea",
-                "sha256:caba44724b994a8a5e086460bb212abc5a8bc46951bf4a9a1210745953622eb9"
+                "sha256:15b00182f472319383252c18d5913b69269590616c947747bc50bf4ac768f410",
+                "sha256:8519430ad07087d4c997fda3a7918f7cfa27cb58972a8c89c2a0295a1c940e9e"
             ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
-            "version": "==0.7.1"
+            "markers": "python_version >= '3.6'",
+            "version": "==0.8.1"
         },
         "pathspec": {
             "hashes": [
@@ -672,11 +716,11 @@
         },
         "ptyprocess": {
             "hashes": [
-                "sha256:923f299cc5ad920c68f2bc0bc98b75b9f838b93b599941a6b63ddbc2476394c0",
-                "sha256:d7cc528d76e76342423ca640335bd3633420dc1366f258cb31d05e865ef5ca1f"
+                "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35",
+                "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"
             ],
             "markers": "os_name != 'nt'",
-            "version": "==0.6.0"
+            "version": "==0.7.0"
         },
         "pycparser": {
             "hashes": [
@@ -688,11 +732,11 @@
         },
         "pygments": {
             "hashes": [
-                "sha256:381985fcc551eb9d37c52088a32914e00517e57f4a21609f48141ba08e193fa0",
-                "sha256:88a0bbcd659fcb9573703957c6b9cff9fab7295e6e76db54c9d00ae42df32773"
+                "sha256:ccf3acacf3782cbed4a989426012f1c535c9a90d3a7fc3f16d231b9372d2b716",
+                "sha256:f275b6c0909e5dafd2d6269a656aa90fa58ebf4a74f8fcf9053195d226b24a08"
             ],
             "markers": "python_version >= '3.5'",
-            "version": "==2.7.2"
+            "version": "==2.7.3"
         },
         "pyparsing": {
             "hashes": [
@@ -719,18 +763,18 @@
         },
         "pytility": {
             "hashes": [
-                "sha256:2020592384f6195cd7b6b894cedd05a591c38fa706ab6d7af6c798d522ce7434",
-                "sha256:97af04966494ddf3998f17b378e62a5841f42b50db366d618970108aaf7b8f52"
+                "sha256:a6e8fd800b04c959162d30470f3887a575a5d82a9d1695cd282a4fdafe02a188",
+                "sha256:c12c22c4eac1ce71a3c812931057eb73e8b8c001cd08973a941630b7f667b31e"
             ],
             "index": "pypi",
-            "version": "==0.1.3"
+            "version": "==0.2.0"
         },
         "pytz": {
             "hashes": [
-                "sha256:3e6b7dd2d1e0a59084bcee14a17af60c5c562cdc16d828e8eba2e683d3a7e268",
-                "sha256:5c55e189b682d420be27c6995ba6edce0c0a77dd67bfbe2ae6607134d5851ffd"
+                "sha256:16962c5fb8db4a8f63a26646d8886e9d769b6c511543557bc84e9569fb9a9cb4",
+                "sha256:180befebb1927b16f6b57101720075a984c019ac16b1b7575673bea42c6c3da5"
             ],
-            "version": "==2020.4"
+            "version": "==2020.5"
         },
         "pyyaml": {
             "hashes": [
@@ -762,6 +806,7 @@
                 "sha256:46250789730489009fe139cbf576679557c070a6a3628077d09a4153d52fd381",
                 "sha256:4d9259a5eb3f71abbaf61f165cacf42240bfeea3783bebd8255341abdfe206f1",
                 "sha256:523d542823cabb94065178090e05347bd204365f6e7cb260f0071c995d392fc2",
+                "sha256:53706f4a792cdae422121fb6a5e65119bad02373153364fc9d004cf6a90394de",
                 "sha256:5efe02bdcc5eafcac0aab531292294298f0ab8d28ed43be9e507d0e09173d1a4",
                 "sha256:63ee08e35be72fdd7568065a249a5b5cf51a2e8ab6ee63cf9f73786fcb9e710b",
                 "sha256:6e24907857c80dc67692e31f5bf3ad5bf483ee0142cec95b3d47e2db8c43bdda",
@@ -777,6 +822,7 @@
                 "sha256:cfa54a162a7b32641665e99b2c12084555afe9fc8fe80ec8b2f71a57320d10e1",
                 "sha256:d81184489369ec325bd50ba1c935361e63f31f578430b9ad95471899361a8253",
                 "sha256:d92c7f41a53ece82b91703ea433c7d34143248cf0cead33aa11c5fc621c764bf",
+                "sha256:dc2f48b575dff6edefd572f1ac84cf0c3f18ad5fcf13384de32df740a010594a",
                 "sha256:f0beef935efe78a63c785bb21ed56c1c24448511383e3994927c8bb2caf5e714",
                 "sha256:f110a4d3f8f01209eec304ed542f6c8054cce9b0f16dfe3d571e57c290e4e133"
             ],
@@ -846,33 +892,42 @@
         },
         "requests": {
             "hashes": [
-                "sha256:7f1a0b932f4a60a1a65caa4263921bb7d9ee911957e0ae4a23a6dd08185ad5f8",
-                "sha256:e786fa28d8c9154e6a4de5d46a1d921b8749f8b74e28bde23768e5e16eece998"
+                "sha256:27973dd4a904a4f13b263a19c866c13b92a39ed1c964655f025f3f8d3d75b804",
+                "sha256:c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e"
             ],
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==2.25.0"
+            "version": "==2.25.1"
         },
         "scikit-learn": {
             "hashes": [
-                "sha256:0a127cc70990d4c15b1019680bfedc7fec6c23d14d3719fdf9b64b22d37cdeca",
-                "sha256:0d39748e7c9669ba648acf40fb3ce96b8a07b240db6888563a7cb76e05e0d9cc",
-                "sha256:1b8a391de95f6285a2f9adffb7db0892718950954b7149a70c783dc848f104ea",
-                "sha256:20766f515e6cd6f954554387dfae705d93c7b544ec0e6c6a5d8e006f6f7ef480",
-                "sha256:2aa95c2f17d2f80534156215c87bee72b6aa314a7f8b8fe92a2d71f47280570d",
-                "sha256:5ce7a8021c9defc2b75620571b350acc4a7d9763c25b7593621ef50f3bd019a2",
-                "sha256:6c28a1d00aae7c3c9568f61aafeaad813f0f01c729bee4fd9479e2132b215c1d",
-                "sha256:7671bbeddd7f4f9a6968f3b5442dac5f22bf1ba06709ef888cc9132ad354a9ab",
-                "sha256:914ac2b45a058d3f1338d7736200f7f3b094857758895f8667be8a81ff443b5b",
-                "sha256:98508723f44c61896a4e15894b2016762a55555fbf09365a0bb1870ecbd442de",
-                "sha256:a64817b050efd50f9abcfd311870073e500ae11b299683a519fbb52d85e08d25",
-                "sha256:cb3e76380312e1f86abd20340ab1d5b3cc46a26f6593d3c33c9ea3e4c7134028",
-                "sha256:d0dcaa54263307075cb93d0bee3ceb02821093b1b3d25f66021987d305d01dce",
-                "sha256:d9a1ce5f099f29c7c33181cc4386660e0ba891b21a60dc036bf369e3a3ee3aec",
-                "sha256:da8e7c302003dd765d92a5616678e591f347460ac7b53e53d667be7dfe6d1b10",
-                "sha256:daf276c465c38ef736a79bd79fc80a249f746bcbcae50c40945428f7ece074f8"
+                "sha256:076369634ee72b5a5941440661e2f306ff4ac30903802dc52031c7e9199ac640",
+                "sha256:18f7131e62265bf2691ed1d0303c640313894ccfe4278427478c6b2f45094b53",
+                "sha256:26f66b3726b54dfb76ea51c5d9c2431ed17ebc066cb4527662b9e851a3e7ba61",
+                "sha256:2951f87d35e72f007701c6e028aa230f6df6212a3194677c0c950486066a454d",
+                "sha256:2a5348585aa793bc8cc5a72f8e9067c9380834b0aadbd55f924843b071f13282",
+                "sha256:3eeff086f7329521d27249a082ea3c48c085cedb110db5f65968ab55c3ba2e09",
+                "sha256:4395e91b3548005f4a645018435b5a94f8cce232b5b70753020e606c6a750656",
+                "sha256:44e452ea8491225c5783d49577aad0f36202dfd52aec7f82c0fdfe5fbd5f7400",
+                "sha256:490436b44b3a1957cb625e871764b0aa330b34cc416aea4abc6c38ca63d0d682",
+                "sha256:5e6e3c042cea83f2e20a45e563b8eabc1f8f72446251fe23ebefdf111a173a33",
+                "sha256:66f27bf21202a850bcd7b6303916e4907f6e22ec59a14974ede4955aed5c7ed0",
+                "sha256:743b6edd98c98991be46c08e6b21df3861d5ae915f91d59f988384d93f7263e7",
+                "sha256:758619e49cd7c17282e6cc60d5cc73c02c072b47c9a10010bb3bb47e0d976e50",
+                "sha256:7f654befc5ad413690cc58f3f34a3e906caf825195ce0fda00a8e9565e1403e6",
+                "sha256:800aaf63f8838c00e85db2267dd226f89858594843fd03932a9eda95746d2c40",
+                "sha256:80ca024154b84b6ac4cfc86930ba13fdc348a209753bf2c16129db6f9eb8a80b",
+                "sha256:890d7d588f65acb0c4f6c083347c9076916bda5e6bd8400f06244b1afc1009af",
+                "sha256:905d8934d1e27a686698864a5863ff2c0e13a2ae1adb78a8a848aacc8a49927d",
+                "sha256:afeb06dc69847927634e58579b9cdc72e1390b79497336b2324b1b173f33bd47",
+                "sha256:b0d13fd56d26cf3de0314a4fd48037108c638fe126d813f5c1222bb0f08b6a76",
+                "sha256:c08b27cb78ee8d2dc781a7affed09859441f5b624f9f92da59ac0791c8774dfc",
+                "sha256:c912247e42114f389858ae05d63f4359d4e667ea72aaabee191aee9ad3f9774a",
+                "sha256:d7fe05fcb44eadd6d6c874c768f085f5de1239db3a3b7be4d3d23d12e4120589",
+                "sha256:d819d625832fb2969911a243e009cfa135cb8ef1e150866e417d6e9d75290087",
+                "sha256:e534f5f3796db6781c87e9835dcd51b7854c8c5a379c9210b93605965c1941fd"
             ],
             "index": "pypi",
-            "version": "==0.23.2"
+            "version": "==0.24.0"
         },
         "scipy": {
             "hashes": [
@@ -907,11 +962,11 @@
         },
         "seaborn": {
             "hashes": [
-                "sha256:390f8437b14f5ce845062f2865ad51656464c306d09bb97d7764c6cba1dd607c",
-                "sha256:62439a38482decdb263a8339f54ecb9823995ad8716abc830e91ca0753201e70"
+                "sha256:44e78eaed937c5a87fc7a892c329a7cc091060b67ebd1d0d306b446a74ba01ad",
+                "sha256:4e1cce9489449a1c6ff3c567f2113cdb41122f727e27a984950d004a88ef3c5c"
             ],
             "index": "pypi",
-            "version": "==0.11.0"
+            "version": "==0.11.1"
         },
         "send2trash": {
             "hashes": [
@@ -928,6 +983,14 @@
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==1.15.0"
         },
+        "sniffio": {
+            "hashes": [
+                "sha256:471b71698eac1c2112a40ce2752bb2f4a4814c22a54a3eed3676bc0f5ca9f663",
+                "sha256:c4666eecec1d3f50960c6bdf61ab7bc350648da6c126e3cf6898d8cd4ddcd3de"
+            ],
+            "markers": "python_version >= '3.5'",
+            "version": "==1.2.0"
+        },
         "terminado": {
             "hashes": [
                 "sha256:3da72a155b807b01c9e8a5babd214e052a0a45a975751da3521a1c3381ce6d76",
-- 
GitLab


From 96674fe76ef30fe281853f7e1c47d0c108b080a0 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Mon, 28 Dec 2020 21:27:56 +0200
Subject: [PATCH 03/18] downgrade jupyterlab

---
 experiments/charts/Pipfile      |  2 +-
 experiments/charts/Pipfile.lock | 56 +++++----------------------------
 2 files changed, 9 insertions(+), 49 deletions(-)

diff --git a/experiments/charts/Pipfile b/experiments/charts/Pipfile
index f5065a8c..5ae72d72 100644
--- a/experiments/charts/Pipfile
+++ b/experiments/charts/Pipfile
@@ -8,7 +8,7 @@ verify_ssl = true
 [packages]
 bokeh = "*"
 jupyter = "*"
-jupyterlab = "*"
+jupyterlab = "<3.0.0"
 jupytext = "*"
 matplotlib = "*"
 nb-black = "*"
diff --git a/experiments/charts/Pipfile.lock b/experiments/charts/Pipfile.lock
index 94014762..9aef8f12 100644
--- a/experiments/charts/Pipfile.lock
+++ b/experiments/charts/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "e3ac87e20f7e96ba663b04d267b1be4e8983fc942b8c414beaa72fe7d844ff1e"
+            "sha256": "8c99bf092d675c2498b9f598c0a6907f9c9f3b963b771edaaf1494a5fbc4b235"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -16,14 +16,6 @@
         ]
     },
     "default": {
-        "anyio": {
-            "hashes": [
-                "sha256:01cce0087b8fd8b6b7e629dc11505dcde02f916ce903332892cb2ae9817b597d",
-                "sha256:35075abd32cf20fd7e0be2fee3614e80b92d5392eba257c8d2f33de3df7ca237"
-            ],
-            "markers": "python_full_version >= '3.6.2'",
-            "version": "==2.0.2"
-        },
         "appdirs": {
             "hashes": [
                 "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41",
@@ -78,14 +70,6 @@
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==20.3.0"
         },
-        "babel": {
-            "hashes": [
-                "sha256:9d35c22fcc79893c3ecc85ac4a56cde1ecf3f19c540bba0922308a6c06ca6fa5",
-                "sha256:da031ab54472314f210b0adcff1588ee5d1d1d0ba4dbd07b94dba82bde791e05"
-            ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
-            "version": "==2.9.0"
-        },
         "backcall": {
             "hashes": [
                 "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e",
@@ -318,21 +302,13 @@
             "markers": "python_version >= '3.6'",
             "version": "==4.7.0"
         },
-        "jupyter-server": {
-            "hashes": [
-                "sha256:1c684fa73cad376b09f307ce817be50a50bca78c8be52aa059ec5481098dba1f",
-                "sha256:23ce959718592ba472db7982a5daf15dda3397fd50bb54d05ad10c09fe122905"
-            ],
-            "markers": "python_version >= '3.6'",
-            "version": "==1.1.3"
-        },
         "jupyterlab": {
             "hashes": [
-                "sha256:15228dff3f77b0bca795fd232cb25f02121510cec83f1d25856b3bc8e585b087",
-                "sha256:42cf1b8c7ebe4e2a502f8538b852c3d553ddde21cb5da6085c4b6bfe67b34fa6"
+                "sha256:3be8f8edea173753dd838c1b6d3bbcb6f5c801121f824a477025c1b6a1d33dc6",
+                "sha256:59af02c26a15ec2d2862a15bc72e41ae304b406a0b0d3f4f705eeb7caf91902b"
             ],
             "index": "pypi",
-            "version": "==3.0.0"
+            "version": "==2.2.9"
         },
         "jupyterlab-pygments": {
             "hashes": [
@@ -343,11 +319,11 @@
         },
         "jupyterlab-server": {
             "hashes": [
-                "sha256:1350c36954d3d16c71129b30b60b9df11e8fcf2f3acf88596f6abc8a79b0c918",
-                "sha256:20a4e495276956528783c0befab58e409d9f6258589caccb4c0591387caadc84"
+                "sha256:5431d9dde96659364b7cc877693d5d21e7b80cea7ae3959ecc2b87518e5f5d8c",
+                "sha256:55d256077bf13e5bc9e8fbd5aac51bef82f6315111cec6b712b9a5ededbba924"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==2.0.0"
+            "markers": "python_version >= '3.5'",
+            "version": "==1.2.0"
         },
         "jupyterlab-widgets": {
             "hashes": [
@@ -510,14 +486,6 @@
             "index": "pypi",
             "version": "==1.0.7"
         },
-        "nbclassic": {
-            "hashes": [
-                "sha256:96ffc2b5e01e06825c7558066fc66f2dff00fc7a499ad4988738fda076d5587a",
-                "sha256:e6da2116ab76a63de62f42cf8ea93c9a0c564aaf8315834f7c52efb85b4640ab"
-            ],
-            "markers": "python_version >= '3.6'",
-            "version": "==0.2.5"
-        },
         "nbclient": {
             "hashes": [
                 "sha256:01e2d726d16eaf2cde6db74a87e2451453547e8832d142f73f72fddcd4fe0250",
@@ -983,14 +951,6 @@
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==1.15.0"
         },
-        "sniffio": {
-            "hashes": [
-                "sha256:471b71698eac1c2112a40ce2752bb2f4a4814c22a54a3eed3676bc0f5ca9f663",
-                "sha256:c4666eecec1d3f50960c6bdf61ab7bc350648da6c126e3cf6898d8cd4ddcd3de"
-            ],
-            "markers": "python_version >= '3.5'",
-            "version": "==1.2.0"
-        },
         "terminado": {
             "hashes": [
                 "sha256:3da72a155b807b01c9e8a5babd214e052a0a45a975751da3521a1c3381ce6d76",
-- 
GitLab


From e2ab74c972b6499c642ff0bdfcdc3e6784cac128 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Mon, 28 Dec 2020 21:43:20 +0200
Subject: [PATCH 04/18] revert to old Pipfile; first sketch of charts.py

---
 experiments/charts/Pipfile      |   2 +-
 experiments/charts/Pipfile.lock | 223 ++++++++++++++------------------
 experiments/charts/charts.py    |  48 +++++++
 3 files changed, 149 insertions(+), 124 deletions(-)
 create mode 100644 experiments/charts/charts.py

diff --git a/experiments/charts/Pipfile b/experiments/charts/Pipfile
index 5ae72d72..f5065a8c 100644
--- a/experiments/charts/Pipfile
+++ b/experiments/charts/Pipfile
@@ -8,7 +8,7 @@ verify_ssl = true
 [packages]
 bokeh = "*"
 jupyter = "*"
-jupyterlab = "<3.0.0"
+jupyterlab = "*"
 jupytext = "*"
 matplotlib = "*"
 nb-black = "*"
diff --git a/experiments/charts/Pipfile.lock b/experiments/charts/Pipfile.lock
index 9aef8f12..5b174d75 100644
--- a/experiments/charts/Pipfile.lock
+++ b/experiments/charts/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "8c99bf092d675c2498b9f598c0a6907f9c9f3b963b771edaaf1494a5fbc4b235"
+            "sha256": "e3ac87e20f7e96ba663b04d267b1be4e8983fc942b8c414beaa72fe7d844ff1e"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -25,11 +25,11 @@
         },
         "appnope": {
             "hashes": [
-                "sha256:93aa393e9d6c54c5cd570ccadd8edad61ea0c4b9ea7a01409020c9aa019eb442",
-                "sha256:dd83cd4b5b460958838f6eb3000c660b1f9caf2a5b1de4264e941512f603258a"
+                "sha256:5b26757dc6f79a3b7dc9fab95359328d5747fcb2409d331ea66d0272b90ab2a0",
+                "sha256:8b995ffe925347a2138d7ac0fe77155e4311a0ea6d6da4f5128fe4b3cbe5ed71"
             ],
             "markers": "sys_platform == 'darwin' and platform_system == 'Darwin'",
-            "version": "==0.1.2"
+            "version": "==0.1.0"
         },
         "argon2-cffi": {
             "hashes": [
@@ -101,10 +101,10 @@
         },
         "certifi": {
             "hashes": [
-                "sha256:1a4995114262bffbc2413b159f2a1a480c969de6e6eb13ee966d470af86af59c",
-                "sha256:719a74fb9e33b9bd44cc7f3a8d94bc35e4049deebe19ba7d8e108280cfd59830"
+                "sha256:1f422849db327d534e3d0c5f02a263458c3955ec0aae4ff09b95f195c59f4edd",
+                "sha256:f05def092c44fbf25834a51509ef6e631dc19765ab8a57b4e7ab85531f0a9cf4"
             ],
-            "version": "==2020.12.5"
+            "version": "==2020.11.8"
         },
         "cffi": {
             "hashes": [
@@ -129,14 +129,12 @@
                 "sha256:9cc46bc107224ff5b6d04369e7c595acb700c3613ad7bcf2e2012f62ece80c35",
                 "sha256:9f7a31251289b2ab6d4012f6e83e58bc3b96bd151f5b5262467f4bb6b34a7c26",
                 "sha256:9ffb888f19d54a4d4dfd4b3f29bc2c16aa4972f1c2ab9c4ab09b8ab8685b9c2b",
-                "sha256:a5ed8c05548b54b998b9498753fb9cadbfd92ee88e884641377d8a8b291bcc01",
                 "sha256:a7711edca4dcef1a75257b50a2fbfe92a65187c47dab5a0f1b9b332c5919a3fb",
                 "sha256:af5c59122a011049aad5dd87424b8e65a80e4a6477419c0c1015f73fb5ea0293",
                 "sha256:b18e0a9ef57d2b41f5c68beefa32317d286c3d6ac0484efd10d6e07491bb95dd",
                 "sha256:b4e248d1087abf9f4c10f3c398896c87ce82a9856494a7155823eb45a892395d",
                 "sha256:ba4e9e0ae13fc41c6b23299545e5ef73055213e466bd107953e4a013a5ddd7e3",
                 "sha256:c6332685306b6417a91b1ff9fae889b3ba65c2292d64bd9245c093b1b284809d",
-                "sha256:d5ff0621c88ce83a28a10d2ce719b2ee85635e85c515f12bac99a95306da4b2e",
                 "sha256:d9efd8b7a3ef378dd61a1e77367f1924375befc2eba06168b6ebfa903a5e59ca",
                 "sha256:df5169c4396adc04f9b0a05f13c074df878b6052430e03f50e68adf3a57aa28d",
                 "sha256:ebb253464a5d0482b191274f1c8bf00e33f7e0b9c66405fbffc61ed2c839c775",
@@ -149,11 +147,10 @@
         },
         "chardet": {
             "hashes": [
-                "sha256:0d6f53a15db4120f2b08c94f11e7d93d2c911ee118b6b30a04ec3ee8310179fa",
-                "sha256:f864054d66fd9118f2e67044ac8981a54775ec5b67aed0441892edb553d21da5"
+                "sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
+                "sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
             ],
-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==4.0.0"
+            "version": "==3.0.4"
         },
         "click": {
             "hashes": [
@@ -203,11 +200,11 @@
         },
         "ipykernel": {
             "hashes": [
-                "sha256:63b4b96c513e1138874934e3e783a8e5e13c02b9036e37107bfe042ac8955005",
-                "sha256:e20ceb7e52cb4d250452e1230be76e0b2323f33bd46c6b2bc7abb6601740e182"
+                "sha256:9b2652af1607986a1b231c62302d070bc0534f564c393a5d9d130db9abbbe89d",
+                "sha256:d6fbba26dba3cebd411382bc484f7bc2caa98427ae0ddb4ab37fe8bfeb5c7dd3"
             ],
             "markers": "python_version >= '3.5'",
-            "version": "==5.4.2"
+            "version": "==5.3.4"
         },
         "ipython": {
             "hashes": [
@@ -226,18 +223,18 @@
         },
         "ipywidgets": {
             "hashes": [
-                "sha256:bbb881ce18fb0cff4ac718f40c04709c7ac86a77abee149f1b447965ede86e36",
-                "sha256:eab960f737f380075cabca41f92e5e81dfb6eba3ce6392094469ef2418ca4d35"
+                "sha256:13ffeca438e0c0f91ae583dc22f50379b9d6b28390ac7be8b757140e9a771516",
+                "sha256:e945f6e02854a74994c596d9db83444a1850c01648f1574adf144fbbabe05c97"
             ],
-            "version": "==7.6.2"
+            "version": "==7.5.1"
         },
         "jedi": {
             "hashes": [
-                "sha256:18456d83f65f400ab0c2d3319e48520420ef43b23a086fdc05dff34132f0fb93",
-                "sha256:92550a404bad8afed881a137ec9a461fed49eca661414be45059329614ed0707"
+                "sha256:86ed7d9b750603e4ba582ea8edc678657fb4007894a12bcf6f4bb97892f31d20",
+                "sha256:98cc583fa0f2f8304968199b01b6b4b94f469a1f4a74c1560506ca2a211378b5"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==0.18.0"
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
+            "version": "==0.17.2"
         },
         "jinja2": {
             "hashes": [
@@ -249,11 +246,11 @@
         },
         "joblib": {
             "hashes": [
-                "sha256:75ead23f13484a2a414874779d69ade40d4fa1abe62b222a23cd50d4bc822f6f",
-                "sha256:7ad866067ac1fdec27d51c8678ea760601b70e32ff1881d4dc8e1171f2b64b24"
+                "sha256:698c311779f347cf6b7e6b8a39bb682277b8ee4aba8cf9507bc0cf4cd4737b72",
+                "sha256:9e284edd6be6b71883a63c9b7f124738a3c16195513ad940eae7e3438de885d5"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==1.0.0"
+            "version": "==0.17.0"
         },
         "json5": {
             "hashes": [
@@ -325,21 +322,13 @@
             "markers": "python_version >= '3.5'",
             "version": "==1.2.0"
         },
-        "jupyterlab-widgets": {
-            "hashes": [
-                "sha256:5c1a29a84d3069208cb506b10609175b249b6486d6b1cbae8fcde2a11584fb78",
-                "sha256:caeaf3e6103180e654e7d8d2b81b7d645e59e432487c1d35a41d6d3ee56b3fef"
-            ],
-            "markers": "python_version >= '3.5'",
-            "version": "==1.0.0"
-        },
         "jupytext": {
             "hashes": [
-                "sha256:0643797c30e7a2b15a4d2d269a74b52ca1a6e982f7927c4da03e339cd7214437",
-                "sha256:e7f85424b4bd7c012ea0b9f1232f1da27b099aa9d818b8d95c4af108607d9254"
+                "sha256:23123b90c267c67716fe6a022dfae49b84fd3809370d83211f2920eb3106bf40",
+                "sha256:e48f57afdc807cc2d2920bd6ae18455264db78b1fc78061ad70dcc26dc45a2cb"
             ],
             "index": "pypi",
-            "version": "==1.8.0"
+            "version": "==1.7.1"
         },
         "kiwisolver": {
             "hashes": [
@@ -381,11 +370,11 @@
         },
         "markdown-it-py": {
             "hashes": [
-                "sha256:1c1413df39ef7baa55bca755d32c565d72e8b4114dcdd3da65eb468a61886659",
-                "sha256:f90912a0ff1ac328627d1551bd5a17bce0ef1d483df222d460336e59213c6d29"
+                "sha256:6143d11221495edbf71beb7e455821ae6c8f0156710a1b11812662ed6dbd165b",
+                "sha256:dcfe4a0c6bef711cb6c42494ebf23a3cfe6f249bf995556498497dd8193bfc22"
             ],
-            "markers": "python_version ~= '3.6'",
-            "version": "==0.6.0"
+            "markers": "python_version >= '3.6'",
+            "version": "==0.5.6"
         },
         "markupsafe": {
             "hashes": [
@@ -457,14 +446,6 @@
             "index": "pypi",
             "version": "==3.3.3"
         },
-        "mdit-py-plugins": {
-            "hashes": [
-                "sha256:e7db0de4a3466941faa433f77a98d09a09a0b877e79eace79506fd0d083e490f",
-                "sha256:f13ad035e977db0dd268af4a372716f3b555f1435f9623b4aed10c3c8bbf618c"
-            ],
-            "markers": "python_version ~= '3.6'",
-            "version": "==0.2.4"
-        },
         "mistune": {
             "hashes": [
                 "sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e",
@@ -520,11 +501,11 @@
         },
         "notebook": {
             "hashes": [
-                "sha256:cf40d4f81541401db5a2fda1707ca7877157abd41f04ef7b88f02b67f3c61791",
-                "sha256:e6a62188e319a5d45dd2ed24719f646adf88bef8be1f654ebd0ab360ece6d7a6"
+                "sha256:3db37ae834c5f3b6378381229d0e5dfcbfb558d08c8ce646b1ad355147f5e91d",
+                "sha256:508cf9dad7cdb3188f1aa27017dc78179029dfe83814fc505329f689bc2ab50f"
             ],
             "markers": "python_version >= '3.5'",
-            "version": "==6.1.6"
+            "version": "==6.1.5"
         },
         "numpy": {
             "hashes": [
@@ -568,34 +549,41 @@
         },
         "packaging": {
             "hashes": [
-                "sha256:24e0da08660a87484d1602c30bb4902d74816b6985b93de36926f5bc95741858",
-                "sha256:78598185a7008a470d64526a8059de9aaa449238f280fc9eb6b13ba6c4109093"
+                "sha256:05af3bb85d320377db281cf254ab050e1a7ebcbf5410685a9a407e18a1f81236",
+                "sha256:eb41423378682dadb7166144a4926e443093863024de508ca5c9737d6bc08376"
             ],
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
-            "version": "==20.8"
+            "version": "==20.7"
         },
         "pandas": {
             "hashes": [
-                "sha256:0be6102dd99910513e75ed6536284743ead810349c51bdeadd2a5b6649f30abb",
-                "sha256:272675a98fa4954b9fc0933df775596fc942e50015d7e75d8f19548808a2bfdf",
-                "sha256:2d8b4f532db37418121831a461fd107d826c240b098f52e7a1b4ab3d5aaa4fb2",
-                "sha256:33318fa24b192b1a4684347ff76679a7267fd4e547da9f71556a5914f0dc10e7",
-                "sha256:3bc6d2be03cb75981d8cbeda09503cd9d6d699fc0dc28a65e197165ad527b7b8",
-                "sha256:43482789c55cbabeed9482263cfc98a11e8fcae900cb63ef038948acb4a72570",
-                "sha256:616478c1bd8fe1e600f521ae2da434e021c11e7a4e5da3451d02906143d3629a",
-                "sha256:6c1a57e4d0d6f9633a07817c44e6b36d81c265fe4c52d0c0505513a2d0f7953c",
-                "sha256:7904ee438549b5223ce8dc008772458dd7c5cf0ccc64cf903e81202400702235",
-                "sha256:7b54c14130a3448d81eed1348f52429c23e27188d9db6e6d4afeae792bc49c11",
-                "sha256:8f92b07cdbfa3704d85b4264e52c216cafe6c0059b0d07cdad8cb29e0b90f2b8",
-                "sha256:91fd0b94e7b98528177a05e6f65efea79d7ef9dec15ee48c7c69fc39fdd87235",
-                "sha256:9c6692cea6d56da8650847172bdb148622f545e7782d17995822434c79d7a211",
-                "sha256:9e18631d996fe131de6cb31a8bdae18965cc8f39eb23fdfbbf42808ecc63dabf",
-                "sha256:cba93d4fd3b0a42858b2b599495aff793fb5d94587979f45a14177d1217ba446",
-                "sha256:e03386615b970b8b41da6a68afe717626741bb2431cec993640685614c0680e4",
-                "sha256:f8b87d2f541cd9bc4ecfe85a561abac85c33fe4de4ce70cca36b2768af2611f5"
+                "sha256:09e0503758ad61afe81c9069505f8cb8c1e36ea8cc1e6826a95823ef5b327daf",
+                "sha256:0a11a6290ef3667575cbd4785a1b62d658c25a2fd70a5adedba32e156a8f1773",
+                "sha256:0d9a38a59242a2f6298fff45d09768b78b6eb0c52af5919ea9e45965d7ba56d9",
+                "sha256:112c5ba0f9ea0f60b2cc38c25f87ca1d5ca10f71efbee8e0f1bee9cf584ed5d5",
+                "sha256:185cf8c8f38b169dbf7001e1a88c511f653fbb9dfa3e048f5e19c38049e991dc",
+                "sha256:3aa8e10768c730cc1b610aca688f588831fa70b65a26cb549fbb9f35049a05e0",
+                "sha256:41746d520f2b50409dffdba29a15c42caa7babae15616bcf80800d8cfcae3d3e",
+                "sha256:43cea38cbcadb900829858884f49745eb1f42f92609d368cabcc674b03e90efc",
+                "sha256:5378f58172bd63d8c16dd5d008d7dcdd55bf803fcdbe7da2dcb65dbbf322f05b",
+                "sha256:54404abb1cd3f89d01f1fb5350607815326790efb4789be60508f458cdd5ccbf",
+                "sha256:5dac3aeaac5feb1016e94bde851eb2012d1733a222b8afa788202b836c97dad5",
+                "sha256:5fdb2a61e477ce58d3f1fdf2470ee142d9f0dde4969032edaf0b8f1a9dafeaa2",
+                "sha256:6613c7815ee0b20222178ad32ec144061cb07e6a746970c9160af1ebe3ad43b4",
+                "sha256:6d2b5b58e7df46b2c010ec78d7fb9ab20abf1d306d0614d3432e7478993fbdb0",
+                "sha256:8a5d7e57b9df2c0a9a202840b2881bb1f7a648eba12dd2d919ac07a33a36a97f",
+                "sha256:8b4c2055ebd6e497e5ecc06efa5b8aa76f59d15233356eb10dad22a03b757805",
+                "sha256:a15653480e5b92ee376f8458197a58cca89a6e95d12cccb4c2d933df5cecc63f",
+                "sha256:a7d2547b601ecc9a53fd41561de49a43d2231728ad65c7713d6b616cd02ddbed",
+                "sha256:a979d0404b135c63954dea79e6246c45dd45371a88631cdbb4877d844e6de3b6",
+                "sha256:b1f8111635700de7ac350b639e7e452b06fc541a328cf6193cf8fc638804bab8",
+                "sha256:c5a3597880a7a29a31ebd39b73b2c824316ae63a05c3c8a5ce2aea3fc68afe35",
+                "sha256:c681e8fcc47a767bf868341d8f0d76923733cbdcabd6ec3a3560695c69f14a1e",
+                "sha256:cf135a08f306ebbcfea6da8bf775217613917be23e5074c69215b91e180caab4",
+                "sha256:e2b8557fe6d0a18db4d61c028c6af61bfed44ef90e419ed6fadbdc079eba141e"
             ],
             "index": "pypi",
-            "version": "==1.2.0"
+            "version": "==1.1.4"
         },
         "pandocfilters": {
             "hashes": [
@@ -605,11 +593,11 @@
         },
         "parso": {
             "hashes": [
-                "sha256:15b00182f472319383252c18d5913b69269590616c947747bc50bf4ac768f410",
-                "sha256:8519430ad07087d4c997fda3a7918f7cfa27cb58972a8c89c2a0295a1c940e9e"
+                "sha256:97218d9159b2520ff45eb78028ba8b50d2bc61dcc062a9682666f2dc4bd331ea",
+                "sha256:caba44724b994a8a5e086460bb212abc5a8bc46951bf4a9a1210745953622eb9"
             ],
-            "markers": "python_version >= '3.6'",
-            "version": "==0.8.1"
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
+            "version": "==0.7.1"
         },
         "pathspec": {
             "hashes": [
@@ -684,11 +672,11 @@
         },
         "ptyprocess": {
             "hashes": [
-                "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35",
-                "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"
+                "sha256:923f299cc5ad920c68f2bc0bc98b75b9f838b93b599941a6b63ddbc2476394c0",
+                "sha256:d7cc528d76e76342423ca640335bd3633420dc1366f258cb31d05e865ef5ca1f"
             ],
             "markers": "os_name != 'nt'",
-            "version": "==0.7.0"
+            "version": "==0.6.0"
         },
         "pycparser": {
             "hashes": [
@@ -700,11 +688,11 @@
         },
         "pygments": {
             "hashes": [
-                "sha256:ccf3acacf3782cbed4a989426012f1c535c9a90d3a7fc3f16d231b9372d2b716",
-                "sha256:f275b6c0909e5dafd2d6269a656aa90fa58ebf4a74f8fcf9053195d226b24a08"
+                "sha256:381985fcc551eb9d37c52088a32914e00517e57f4a21609f48141ba08e193fa0",
+                "sha256:88a0bbcd659fcb9573703957c6b9cff9fab7295e6e76db54c9d00ae42df32773"
             ],
             "markers": "python_version >= '3.5'",
-            "version": "==2.7.3"
+            "version": "==2.7.2"
         },
         "pyparsing": {
             "hashes": [
@@ -731,18 +719,18 @@
         },
         "pytility": {
             "hashes": [
-                "sha256:a6e8fd800b04c959162d30470f3887a575a5d82a9d1695cd282a4fdafe02a188",
-                "sha256:c12c22c4eac1ce71a3c812931057eb73e8b8c001cd08973a941630b7f667b31e"
+                "sha256:2020592384f6195cd7b6b894cedd05a591c38fa706ab6d7af6c798d522ce7434",
+                "sha256:97af04966494ddf3998f17b378e62a5841f42b50db366d618970108aaf7b8f52"
             ],
             "index": "pypi",
-            "version": "==0.2.0"
+            "version": "==0.1.3"
         },
         "pytz": {
             "hashes": [
-                "sha256:16962c5fb8db4a8f63a26646d8886e9d769b6c511543557bc84e9569fb9a9cb4",
-                "sha256:180befebb1927b16f6b57101720075a984c019ac16b1b7575673bea42c6c3da5"
+                "sha256:3e6b7dd2d1e0a59084bcee14a17af60c5c562cdc16d828e8eba2e683d3a7e268",
+                "sha256:5c55e189b682d420be27c6995ba6edce0c0a77dd67bfbe2ae6607134d5851ffd"
             ],
-            "version": "==2020.5"
+            "version": "==2020.4"
         },
         "pyyaml": {
             "hashes": [
@@ -774,7 +762,6 @@
                 "sha256:46250789730489009fe139cbf576679557c070a6a3628077d09a4153d52fd381",
                 "sha256:4d9259a5eb3f71abbaf61f165cacf42240bfeea3783bebd8255341abdfe206f1",
                 "sha256:523d542823cabb94065178090e05347bd204365f6e7cb260f0071c995d392fc2",
-                "sha256:53706f4a792cdae422121fb6a5e65119bad02373153364fc9d004cf6a90394de",
                 "sha256:5efe02bdcc5eafcac0aab531292294298f0ab8d28ed43be9e507d0e09173d1a4",
                 "sha256:63ee08e35be72fdd7568065a249a5b5cf51a2e8ab6ee63cf9f73786fcb9e710b",
                 "sha256:6e24907857c80dc67692e31f5bf3ad5bf483ee0142cec95b3d47e2db8c43bdda",
@@ -790,7 +777,6 @@
                 "sha256:cfa54a162a7b32641665e99b2c12084555afe9fc8fe80ec8b2f71a57320d10e1",
                 "sha256:d81184489369ec325bd50ba1c935361e63f31f578430b9ad95471899361a8253",
                 "sha256:d92c7f41a53ece82b91703ea433c7d34143248cf0cead33aa11c5fc621c764bf",
-                "sha256:dc2f48b575dff6edefd572f1ac84cf0c3f18ad5fcf13384de32df740a010594a",
                 "sha256:f0beef935efe78a63c785bb21ed56c1c24448511383e3994927c8bb2caf5e714",
                 "sha256:f110a4d3f8f01209eec304ed542f6c8054cce9b0f16dfe3d571e57c290e4e133"
             ],
@@ -860,42 +846,33 @@
         },
         "requests": {
             "hashes": [
-                "sha256:27973dd4a904a4f13b263a19c866c13b92a39ed1c964655f025f3f8d3d75b804",
-                "sha256:c210084e36a42ae6b9219e00e48287def368a26d03a048ddad7bfee44f75871e"
+                "sha256:7f1a0b932f4a60a1a65caa4263921bb7d9ee911957e0ae4a23a6dd08185ad5f8",
+                "sha256:e786fa28d8c9154e6a4de5d46a1d921b8749f8b74e28bde23768e5e16eece998"
             ],
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==2.25.1"
+            "version": "==2.25.0"
         },
         "scikit-learn": {
             "hashes": [
-                "sha256:076369634ee72b5a5941440661e2f306ff4ac30903802dc52031c7e9199ac640",
-                "sha256:18f7131e62265bf2691ed1d0303c640313894ccfe4278427478c6b2f45094b53",
-                "sha256:26f66b3726b54dfb76ea51c5d9c2431ed17ebc066cb4527662b9e851a3e7ba61",
-                "sha256:2951f87d35e72f007701c6e028aa230f6df6212a3194677c0c950486066a454d",
-                "sha256:2a5348585aa793bc8cc5a72f8e9067c9380834b0aadbd55f924843b071f13282",
-                "sha256:3eeff086f7329521d27249a082ea3c48c085cedb110db5f65968ab55c3ba2e09",
-                "sha256:4395e91b3548005f4a645018435b5a94f8cce232b5b70753020e606c6a750656",
-                "sha256:44e452ea8491225c5783d49577aad0f36202dfd52aec7f82c0fdfe5fbd5f7400",
-                "sha256:490436b44b3a1957cb625e871764b0aa330b34cc416aea4abc6c38ca63d0d682",
-                "sha256:5e6e3c042cea83f2e20a45e563b8eabc1f8f72446251fe23ebefdf111a173a33",
-                "sha256:66f27bf21202a850bcd7b6303916e4907f6e22ec59a14974ede4955aed5c7ed0",
-                "sha256:743b6edd98c98991be46c08e6b21df3861d5ae915f91d59f988384d93f7263e7",
-                "sha256:758619e49cd7c17282e6cc60d5cc73c02c072b47c9a10010bb3bb47e0d976e50",
-                "sha256:7f654befc5ad413690cc58f3f34a3e906caf825195ce0fda00a8e9565e1403e6",
-                "sha256:800aaf63f8838c00e85db2267dd226f89858594843fd03932a9eda95746d2c40",
-                "sha256:80ca024154b84b6ac4cfc86930ba13fdc348a209753bf2c16129db6f9eb8a80b",
-                "sha256:890d7d588f65acb0c4f6c083347c9076916bda5e6bd8400f06244b1afc1009af",
-                "sha256:905d8934d1e27a686698864a5863ff2c0e13a2ae1adb78a8a848aacc8a49927d",
-                "sha256:afeb06dc69847927634e58579b9cdc72e1390b79497336b2324b1b173f33bd47",
-                "sha256:b0d13fd56d26cf3de0314a4fd48037108c638fe126d813f5c1222bb0f08b6a76",
-                "sha256:c08b27cb78ee8d2dc781a7affed09859441f5b624f9f92da59ac0791c8774dfc",
-                "sha256:c912247e42114f389858ae05d63f4359d4e667ea72aaabee191aee9ad3f9774a",
-                "sha256:d7fe05fcb44eadd6d6c874c768f085f5de1239db3a3b7be4d3d23d12e4120589",
-                "sha256:d819d625832fb2969911a243e009cfa135cb8ef1e150866e417d6e9d75290087",
-                "sha256:e534f5f3796db6781c87e9835dcd51b7854c8c5a379c9210b93605965c1941fd"
+                "sha256:0a127cc70990d4c15b1019680bfedc7fec6c23d14d3719fdf9b64b22d37cdeca",
+                "sha256:0d39748e7c9669ba648acf40fb3ce96b8a07b240db6888563a7cb76e05e0d9cc",
+                "sha256:1b8a391de95f6285a2f9adffb7db0892718950954b7149a70c783dc848f104ea",
+                "sha256:20766f515e6cd6f954554387dfae705d93c7b544ec0e6c6a5d8e006f6f7ef480",
+                "sha256:2aa95c2f17d2f80534156215c87bee72b6aa314a7f8b8fe92a2d71f47280570d",
+                "sha256:5ce7a8021c9defc2b75620571b350acc4a7d9763c25b7593621ef50f3bd019a2",
+                "sha256:6c28a1d00aae7c3c9568f61aafeaad813f0f01c729bee4fd9479e2132b215c1d",
+                "sha256:7671bbeddd7f4f9a6968f3b5442dac5f22bf1ba06709ef888cc9132ad354a9ab",
+                "sha256:914ac2b45a058d3f1338d7736200f7f3b094857758895f8667be8a81ff443b5b",
+                "sha256:98508723f44c61896a4e15894b2016762a55555fbf09365a0bb1870ecbd442de",
+                "sha256:a64817b050efd50f9abcfd311870073e500ae11b299683a519fbb52d85e08d25",
+                "sha256:cb3e76380312e1f86abd20340ab1d5b3cc46a26f6593d3c33c9ea3e4c7134028",
+                "sha256:d0dcaa54263307075cb93d0bee3ceb02821093b1b3d25f66021987d305d01dce",
+                "sha256:d9a1ce5f099f29c7c33181cc4386660e0ba891b21a60dc036bf369e3a3ee3aec",
+                "sha256:da8e7c302003dd765d92a5616678e591f347460ac7b53e53d667be7dfe6d1b10",
+                "sha256:daf276c465c38ef736a79bd79fc80a249f746bcbcae50c40945428f7ece074f8"
             ],
             "index": "pypi",
-            "version": "==0.24.0"
+            "version": "==0.23.2"
         },
         "scipy": {
             "hashes": [
@@ -930,11 +907,11 @@
         },
         "seaborn": {
             "hashes": [
-                "sha256:44e78eaed937c5a87fc7a892c329a7cc091060b67ebd1d0d306b446a74ba01ad",
-                "sha256:4e1cce9489449a1c6ff3c567f2113cdb41122f727e27a984950d004a88ef3c5c"
+                "sha256:390f8437b14f5ce845062f2865ad51656464c306d09bb97d7764c6cba1dd607c",
+                "sha256:62439a38482decdb263a8339f54ecb9823995ad8716abc830e91ca0753201e70"
             ],
             "index": "pypi",
-            "version": "==0.11.1"
+            "version": "==0.11.0"
         },
         "send2trash": {
             "hashes": [
diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
new file mode 100644
index 00000000..d8f72773
--- /dev/null
+++ b/experiments/charts/charts.py
@@ -0,0 +1,48 @@
+# ---
+# jupyter:
+#   jupytext:
+#     formats: ipynb,py:percent
+#     text_representation:
+#       extension: .py
+#       format_name: percent
+#       format_version: '1.3'
+#       jupytext_version: 1.8.0
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %%
+import json
+
+import pandas as pd
+
+from pytility import parse_date
+
+# %matplotlib inline
+# %load_ext nb_black
+# %load_ext lab_black
+
+# %%
+def process_ratings(
+    lines, keys=("item_id", "bgg_id", "bgg_user_name", "bgg_user_rating", "updated_at")
+):
+    for line in lines:
+        item = json.loads(line)
+        if not item or not item.get("bgg_user_rating"):
+            continue
+        yield {
+            k: parse_date(item.get(k)) if k.endswith("_at") else item.get(k)
+            for k in keys
+        }
+
+
+# %%
+with open(
+    "../../../board-game-scraper/feeds/bgg/RatingItem/2020-12-28T07-00-47-merged.jl"
+) as file:
+    df = pd.DataFrame.from_records(process_ratings(file), index="updated_at")
+
+# %%
+df.sample(25)
-- 
GitLab


From c2331ec7ed5dfe7f1ec74779be75b953861ff8b0 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Mon, 28 Dec 2020 23:13:07 +0200
Subject: [PATCH 05/18] more charts

---
 .gitignore                   |  3 +++
 experiments/charts/charts.py | 50 +++++++++++++++++++++++++++++++++++-
 2 files changed, 52 insertions(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index 998eac71..e23c11aa 100644
--- a/.gitignore
+++ b/.gitignore
@@ -129,4 +129,7 @@ sitepackages/
 # others
 .~*
 *.bk
+*.feather
 *.ipynb
+*.parquet
+*.pickle
diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index d8f72773..794bd72f 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -6,7 +6,7 @@
 #       extension: .py
 #       format_name: percent
 #       format_version: '1.3'
-#       jupytext_version: 1.8.0
+#       jupytext_version: 1.7.1
 #   kernelspec:
 #     display_name: Python 3
 #     language: python
@@ -43,6 +43,54 @@ with open(
     "../../../board-game-scraper/feeds/bgg/RatingItem/2020-12-28T07-00-47-merged.jl"
 ) as file:
     df = pd.DataFrame.from_records(process_ratings(file), index="updated_at")
+df.shape
 
 # %%
 df.sample(25)
+
+# %%
+df.reset_index().to_feather("charts.feather")
+
+# %%
+df.to_pickle("charts.pickle")
+
+# %%
+weeks = df.resample("W").item_id.count()
+weeks[-52:]
+
+# %%
+weeks.plot()
+
+# %%
+df.bgg_user_rating.hist(bins=10)
+
+# %%
+(df.bgg_user_rating >= 8).mean()
+
+# %%
+positive = (
+    df[(df.index >= parse_date("2020-12-21T00:00Z")) & (df.bgg_user_rating > 8)]
+    .groupby("bgg_id")
+    .item_id.count()
+)
+positive.sort_values(ascending=False)[:50]
+
+# %%
+negative = (
+    df[(df.index >= parse_date("2020-12-21T00:00Z")) & (df.bgg_user_rating < 6)]
+    .groupby("bgg_id")
+    .item_id.count()
+)
+negative.sort_values(ascending=False)[:50]
+
+# %%
+(positive - negative).sort_values(ascending=False)[:50]
+
+# %% [markdown]
+# **Idea**: Discount that `positive - negative` score by rank according to number of ratings:
+#
+# ```python
+# score = (positive - negative) * games.num_ratings.rank(pct=True)
+# ```
+#
+# That way, games with a lot of ratings will have their value heavily discounted (almost to zero), while games with very few ratings will get the full score.
-- 
GitLab


From 538618acb1ce7736f725de9801d109f238922485 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Mon, 28 Dec 2020 23:28:39 +0200
Subject: [PATCH 06/18] added score

---
 experiments/charts/charts.py | 22 +++++++++++++++++++---
 1 file changed, 19 insertions(+), 3 deletions(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 794bd72f..ff925cf9 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -67,9 +67,14 @@ df.bgg_user_rating.hist(bins=10)
 # %%
 (df.bgg_user_rating >= 8).mean()
 
+# %%
+cutoff = parse_date("2020-12-01T00:00Z")
+recent = df[df.index >= cutoff]
+recent.bgg_user_rating.describe()
+
 # %%
 positive = (
-    df[(df.index >= parse_date("2020-12-21T00:00Z")) & (df.bgg_user_rating > 8)]
+    recent[recent.bgg_user_rating >= recent.bgg_user_rating.quantile(0.75)]
     .groupby("bgg_id")
     .item_id.count()
 )
@@ -77,14 +82,15 @@ positive.sort_values(ascending=False)[:50]
 
 # %%
 negative = (
-    df[(df.index >= parse_date("2020-12-21T00:00Z")) & (df.bgg_user_rating < 6)]
+    recent[recent.bgg_user_rating <= recent.bgg_user_rating.quantile(0.25)]
     .groupby("bgg_id")
     .item_id.count()
 )
 negative.sort_values(ascending=False)[:50]
 
 # %%
-(positive - negative).sort_values(ascending=False)[:50]
+diff = (positive - negative).sort_values(ascending=False)
+diff[:50]
 
 # %% [markdown]
 # **Idea**: Discount that `positive - negative` score by rank according to number of ratings:
@@ -94,3 +100,13 @@ negative.sort_values(ascending=False)[:50]
 # ```
 #
 # That way, games with a lot of ratings will have their value heavily discounted (almost to zero), while games with very few ratings will get the full score.
+
+# %%
+games = pd.read_csv(
+    "../../../board-game-data/scraped/bgg_GameItem.csv", index_col="bgg_id"
+)
+games.shape
+
+# %%
+games["score"] = diff * games.num_votes.rank(pct=True, ascending=False)
+games.sort_values("score", ascending=False)[["name", "year", "score"]][:50]
-- 
GitLab


From e909b35b23ce8c2d1fdee2cfa276322b57bbefc0 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Tue, 29 Dec 2020 13:20:14 +0200
Subject: [PATCH 07/18] more general charts processing

---
 experiments/charts/charts.py | 124 +++++++++++++++++++----------------
 1 file changed, 67 insertions(+), 57 deletions(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index ff925cf9..86af5cb3 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -15,11 +15,12 @@
 
 # %%
 import json
-
+from datetime import datetime, timedelta, timezone
 import pandas as pd
-
 from pytility import parse_date
 
+SEED = 23
+
 # %matplotlib inline
 # %load_ext nb_black
 # %load_ext lab_black
@@ -39,20 +40,20 @@ def process_ratings(
 
 
 # %%
-with open(
-    "../../../board-game-scraper/feeds/bgg/RatingItem/2020-12-28T07-00-47-merged.jl"
-) as file:
-    df = pd.DataFrame.from_records(process_ratings(file), index="updated_at")
+# %%time
+try:
+    df = pd.read_feather("charts.feather").set_index('updated_at')
+except Exception:
+    with open(
+        "../../../board-game-scraper/feeds/bgg/RatingItem/2020-12-28T07-00-47-merged.jl"
+    ) as file:
+        df = pd.DataFrame.from_records(process_ratings(file), index="updated_at")
+    df.reset_index().to_feather("charts.feather")
+    df.to_pickle("charts.pickle")
 df.shape
 
 # %%
-df.sample(25)
-
-# %%
-df.reset_index().to_feather("charts.feather")
-
-# %%
-df.to_pickle("charts.pickle")
+df.sample(25, random_state=SEED)
 
 # %%
 weeks = df.resample("W").item_id.count()
@@ -64,49 +65,58 @@ weeks.plot()
 # %%
 df.bgg_user_rating.hist(bins=10)
 
-# %%
-(df.bgg_user_rating >= 8).mean()
-
-# %%
-cutoff = parse_date("2020-12-01T00:00Z")
-recent = df[df.index >= cutoff]
-recent.bgg_user_rating.describe()
 
 # %%
-positive = (
-    recent[recent.bgg_user_rating >= recent.bgg_user_rating.quantile(0.75)]
-    .groupby("bgg_id")
-    .item_id.count()
-)
-positive.sort_values(ascending=False)[:50]
-
-# %%
-negative = (
-    recent[recent.bgg_user_rating <= recent.bgg_user_rating.quantile(0.25)]
-    .groupby("bgg_id")
-    .item_id.count()
-)
-negative.sort_values(ascending=False)[:50]
-
-# %%
-diff = (positive - negative).sort_values(ascending=False)
-diff[:50]
-
-# %% [markdown]
-# **Idea**: Discount that `positive - negative` score by rank according to number of ratings:
-#
-# ```python
-# score = (positive - negative) * games.num_ratings.rank(pct=True)
-# ```
-#
-# That way, games with a lot of ratings will have their value heavily discounted (almost to zero), while games with very few ratings will get the full score.
-
-# %%
-games = pd.read_csv(
-    "../../../board-game-data/scraped/bgg_GameItem.csv", index_col="bgg_id"
-)
-games.shape
-
-# %%
-games["score"] = diff * games.num_votes.rank(pct=True, ascending=False)
-games.sort_values("score", ascending=False)[["name", "year", "score"]][:50]
+def calculate_charts(
+    ratings, end_date=None, window=timedelta(days=30), percentiles=(0.25, 0.75)
+):
+    end_date = end_date or datetime.utcnow().replace(tzinfo=timezone.utc)
+    start_date = end_date - window
+
+    previous_ratings = ratings[ratings.index <= end_date]
+    recent_ratings = previous_ratings[previous_ratings.index >= start_date]
+
+    pct_lower, pct_upper = percentiles
+
+    tmp = pd.DataFrame()
+    tmp["positive"] = (
+        recent_ratings[
+            recent_ratings["bgg_user_rating"]
+            >= recent_ratings["bgg_user_rating"].quantile(pct_upper)
+        ]
+        .groupby("bgg_id")["item_id"]
+        .count()
+    )
+    tmp["negative"] = (
+        recent_ratings[
+            recent_ratings["bgg_user_rating"]
+            <= recent_ratings["bgg_user_rating"].quantile(pct_lower)
+        ]
+        .groupby("bgg_id")["item_id"]
+        .count()
+    )
+    tmp.fillna(0, inplace=True)
+    tmp["diff"] = tmp["positive"] - tmp["negative"]
+
+    games = previous_ratings.groupby("bgg_id")["bgg_user_rating"].count()
+    scores = tmp["diff"] * games.rank(pct=True, ascending=False)
+    scores.dropna(inplace=True)
+
+    ranking = pd.DataFrame(
+        data={
+            "rank": scores.rank(ascending=False, method="min").astype(int),
+            "score": scores,
+        },
+        index=scores.index,
+    )
+    return ranking.sort_values("rank")
+
+
+# %%
+# %%time
+charts = calculate_charts(df)
+print(charts.shape)
+charts[:50]
+
+# %%
+charts[-50:]
-- 
GitLab


From b26ddc4bf9aed9616d316b5356184456cab9be22 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Tue, 29 Dec 2020 21:01:37 +0200
Subject: [PATCH 08/18] monthly charts for all times

---
 experiments/charts/charts.py | 25 ++++++++++++++++++++++---
 1 file changed, 22 insertions(+), 3 deletions(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 86af5cb3..55b64cc9 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -25,6 +25,13 @@ SEED = 23
 # %load_ext nb_black
 # %load_ext lab_black
 
+# %%
+games = pd.read_csv(
+    "../../../board-game-data/scraped/bgg_GameItem.csv", index_col="bgg_id"
+)
+games.shape
+
+
 # %%
 def process_ratings(
     lines, keys=("item_id", "bgg_id", "bgg_user_name", "bgg_user_rating", "updated_at")
@@ -53,7 +60,7 @@ except Exception:
 df.shape
 
 # %%
-df.sample(25, random_state=SEED)
+df.sample(10, random_state=SEED)
 
 # %%
 weeks = df.resample("W").item_id.count()
@@ -113,10 +120,22 @@ def calculate_charts(
 
 
 # %%
-# %%time
 charts = calculate_charts(df)
+charts["name"] = games["name"]
 print(charts.shape)
 charts[:50]
 
 # %%
-charts[-50:]
+charts[-10:]
+
+# %%
+for end_date in pd.date_range(
+    start=df.index.min().replace(hour=23, minute=59, second=59),
+    end=df.index.max(),
+    freq="M",
+):
+    print(f"Charts as of {end_date.strftime('%Y-%m-%d')}")
+    charts = calculate_charts(ratings=df, end_date=end_date)
+    charts["name"] = games["name"]
+    print(charts[:10])
+    print()
-- 
GitLab


From 9e688336b084e1f348e9f84acef7fd9a67f0412d Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Tue, 29 Dec 2020 21:17:11 +0200
Subject: [PATCH 09/18] weekly charts

---
 experiments/charts/charts.py | 23 ++++++++++++++++++++---
 1 file changed, 20 insertions(+), 3 deletions(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 55b64cc9..4c949f66 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -32,6 +32,11 @@ games = pd.read_csv(
 games.shape
 
 
+# %%
+def now():
+    return datetime.utcnow().replace(tzinfo=timezone.utc)
+
+
 # %%
 def process_ratings(
     lines, keys=("item_id", "bgg_id", "bgg_user_name", "bgg_user_rating", "updated_at")
@@ -77,7 +82,7 @@ df.bgg_user_rating.hist(bins=10)
 def calculate_charts(
     ratings, end_date=None, window=timedelta(days=30), percentiles=(0.25, 0.75)
 ):
-    end_date = end_date or datetime.utcnow().replace(tzinfo=timezone.utc)
+    end_date = end_date or now()
     start_date = end_date - window
 
     previous_ratings = ratings[ratings.index <= end_date]
@@ -130,8 +135,8 @@ charts[-10:]
 
 # %%
 for end_date in pd.date_range(
-    start=df.index.min().replace(hour=23, minute=59, second=59),
-    end=df.index.max(),
+    start=parse_date("2016-01-01T23:59:59", tzinfo=timezone.utc),
+    end=now(),
     freq="M",
 ):
     print(f"Charts as of {end_date.strftime('%Y-%m-%d')}")
@@ -139,3 +144,15 @@ for end_date in pd.date_range(
     charts["name"] = games["name"]
     print(charts[:10])
     print()
+
+# %%
+for end_date in pd.date_range(
+    start=parse_date("2019-01-01T23:59:59", tzinfo=timezone.utc),
+    end=now(),
+    freq="W",
+):
+    print(f"Charts as of {end_date.strftime('%Y-%m-%d')}")
+    charts = calculate_charts(ratings=df, end_date=end_date, window=timedelta(days=7))
+    charts["name"] = games["name"]
+    print(charts[:10])
+    print()
-- 
GitLab


From 8c4361942c86186eaba84d7d61ede18ed2f2214e Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Tue, 29 Dec 2020 21:22:49 +0200
Subject: [PATCH 10/18] I'm full of ideas\!

---
 experiments/charts/charts.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 4c949f66..a4f5fe81 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -156,3 +156,6 @@ for end_date in pd.date_range(
     charts["name"] = games["name"]
     print(charts[:10])
     print()
+
+# %% [markdown]
+# **Idea**: Use exponential decay. For each rating, calculate its weight through its age (e.g., `1` if it's been cast right now, `0.5` if a month ago, `0.25` if two months ago, etc). Then sum weights instead of just counting within window.
-- 
GitLab


From 07c6abfb868c1a529547d7df0a983e37440cb688 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Tue, 29 Dec 2020 22:45:11 +0200
Subject: [PATCH 11/18] exponential decay

---
 experiments/charts/charts.py | 72 +++++++++++++++++++++++++++++++++++-
 1 file changed, 70 insertions(+), 2 deletions(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index a4f5fe81..9bc14ac8 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -16,6 +16,7 @@
 # %%
 import json
 from datetime import datetime, timedelta, timezone
+import numpy as np
 import pandas as pd
 from pytility import parse_date
 
@@ -135,7 +136,7 @@ charts[-10:]
 
 # %%
 for end_date in pd.date_range(
-    start=parse_date("2016-01-01T23:59:59", tzinfo=timezone.utc),
+    start=parse_date("2020-01-01T23:59:59", tzinfo=timezone.utc),
     end=now(),
     freq="M",
 ):
@@ -147,7 +148,7 @@ for end_date in pd.date_range(
 
 # %%
 for end_date in pd.date_range(
-    start=parse_date("2019-01-01T23:59:59", tzinfo=timezone.utc),
+    start=parse_date("2020-10-01T23:59:59", tzinfo=timezone.utc),
     end=now(),
     freq="W",
 ):
@@ -157,5 +158,72 @@ for end_date in pd.date_range(
     print(charts[:10])
     print()
 
+
 # %% [markdown]
+# # Exponential decay
+#
 # **Idea**: Use exponential decay. For each rating, calculate its weight through its age (e.g., `1` if it's been cast right now, `0.5` if a month ago, `0.25` if two months ago, etc). Then sum weights instead of just counting within window.
+
+# %%
+def decay(
+    dates,
+    anchor=None,
+    halflife=60 * 60 * 24 * 30,  # 30 days
+):
+    anchor = pd.Timestamp(anchor) if anchor is not None else pd.Timestamp.utcnow()
+    ages = (anchor - dates).total_seconds()
+    return np.exp(-np.log(2) * ages / halflife)
+
+
+# %%
+def calculate_decayed_charts(
+    ratings,
+    end_date=None,
+    halflife=60 * 60 * 24 * 30,  # 30 days
+    percentiles=(0.25, 0.75),
+):
+    end_date = end_date or pd.Timestamp.utcnow()
+    pct_lower, pct_upper = percentiles
+
+    ratings = ratings[ratings.index <= end_date]
+    weights = decay(dates=ratings.index, anchor=end_date, halflife=halflife)
+
+    tmp = pd.DataFrame(
+        data={
+            "bgg_id": ratings["bgg_id"],
+            "positive": np.where(
+                ratings["bgg_user_rating"]
+                >= ratings["bgg_user_rating"].quantile(pct_upper),
+                weights,
+                0,
+            ),
+            "negative": np.where(
+                ratings["bgg_user_rating"]
+                <= ratings["bgg_user_rating"].quantile(pct_lower),
+                weights,
+                0,
+            ),
+        }
+    )
+
+    grouped = tmp.groupby("bgg_id").sum()
+    raw_scores = grouped["positive"] - grouped["negative"]
+    games = ratings.groupby("bgg_id")["bgg_user_rating"].count()
+    scores = raw_scores * games.rank(pct=True, ascending=False)
+    scores.dropna(inplace=True)
+
+    ranking = pd.DataFrame(
+        data={
+            "rank": scores.rank(ascending=False, method="min").astype(int),
+            "score": scores,
+        },
+        index=scores.index,
+    )
+    return ranking.sort_values("rank")
+
+
+# %%
+decayed_charts = calculate_decayed_charts(df)
+decayed_charts["name"] = games["name"]
+print(decayed_charts.shape)
+decayed_charts[:50]
-- 
GitLab


From 46e58f04373a3d4d4225f99880bb235bd1dea944 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Tue, 29 Dec 2020 22:47:45 +0200
Subject: [PATCH 12/18] use np.exp2()

---
 experiments/charts/charts.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 9bc14ac8..47a395c8 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -172,7 +172,7 @@ def decay(
 ):
     anchor = pd.Timestamp(anchor) if anchor is not None else pd.Timestamp.utcnow()
     ages = (anchor - dates).total_seconds()
-    return np.exp(-np.log(2) * ages / halflife)
+    return np.exp2(-ages / halflife)
 
 
 # %%
-- 
GitLab


From fa1ce66f06a61ab71df25a4dff66aa49d9fb431f Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Tue, 29 Dec 2020 22:49:36 +0200
Subject: [PATCH 13/18] remove unnecessary stuff

---
 experiments/charts/charts.py | 33 ++-------------------------------
 1 file changed, 2 insertions(+), 31 deletions(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 47a395c8..2974ef86 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -128,35 +128,7 @@ def calculate_charts(
 # %%
 charts = calculate_charts(df)
 charts["name"] = games["name"]
-print(charts.shape)
-charts[:50]
-
-# %%
-charts[-10:]
-
-# %%
-for end_date in pd.date_range(
-    start=parse_date("2020-01-01T23:59:59", tzinfo=timezone.utc),
-    end=now(),
-    freq="M",
-):
-    print(f"Charts as of {end_date.strftime('%Y-%m-%d')}")
-    charts = calculate_charts(ratings=df, end_date=end_date)
-    charts["name"] = games["name"]
-    print(charts[:10])
-    print()
-
-# %%
-for end_date in pd.date_range(
-    start=parse_date("2020-10-01T23:59:59", tzinfo=timezone.utc),
-    end=now(),
-    freq="W",
-):
-    print(f"Charts as of {end_date.strftime('%Y-%m-%d')}")
-    charts = calculate_charts(ratings=df, end_date=end_date, window=timedelta(days=7))
-    charts["name"] = games["name"]
-    print(charts[:10])
-    print()
+charts[:10]
 
 
 # %% [markdown]
@@ -225,5 +197,4 @@ def calculate_decayed_charts(
 # %%
 decayed_charts = calculate_decayed_charts(df)
 decayed_charts["name"] = games["name"]
-print(decayed_charts.shape)
-decayed_charts[:50]
+decayed_charts[:10]
-- 
GitLab


From 9015d9321094e56509e2e777b78534965cdcacb2 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Tue, 29 Dec 2020 23:03:40 +0200
Subject: [PATCH 14/18] merge two chart functions

---
 experiments/charts/charts.py | 159 ++++++++++++++++-------------------
 1 file changed, 71 insertions(+), 88 deletions(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 2974ef86..21d2d0ac 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -80,64 +80,7 @@ df.bgg_user_rating.hist(bins=10)
 
 
 # %%
-def calculate_charts(
-    ratings, end_date=None, window=timedelta(days=30), percentiles=(0.25, 0.75)
-):
-    end_date = end_date or now()
-    start_date = end_date - window
-
-    previous_ratings = ratings[ratings.index <= end_date]
-    recent_ratings = previous_ratings[previous_ratings.index >= start_date]
-
-    pct_lower, pct_upper = percentiles
-
-    tmp = pd.DataFrame()
-    tmp["positive"] = (
-        recent_ratings[
-            recent_ratings["bgg_user_rating"]
-            >= recent_ratings["bgg_user_rating"].quantile(pct_upper)
-        ]
-        .groupby("bgg_id")["item_id"]
-        .count()
-    )
-    tmp["negative"] = (
-        recent_ratings[
-            recent_ratings["bgg_user_rating"]
-            <= recent_ratings["bgg_user_rating"].quantile(pct_lower)
-        ]
-        .groupby("bgg_id")["item_id"]
-        .count()
-    )
-    tmp.fillna(0, inplace=True)
-    tmp["diff"] = tmp["positive"] - tmp["negative"]
-
-    games = previous_ratings.groupby("bgg_id")["bgg_user_rating"].count()
-    scores = tmp["diff"] * games.rank(pct=True, ascending=False)
-    scores.dropna(inplace=True)
-
-    ranking = pd.DataFrame(
-        data={
-            "rank": scores.rank(ascending=False, method="min").astype(int),
-            "score": scores,
-        },
-        index=scores.index,
-    )
-    return ranking.sort_values("rank")
-
-
-# %%
-charts = calculate_charts(df)
-charts["name"] = games["name"]
-charts[:10]
-
-
-# %% [markdown]
-# # Exponential decay
-#
-# **Idea**: Use exponential decay. For each rating, calculate its weight through its age (e.g., `1` if it's been cast right now, `0.5` if a month ago, `0.25` if two months ago, etc). Then sum weights instead of just counting within window.
-
-# %%
-def decay(
+def exp_decay(
     dates,
     anchor=None,
     halflife=60 * 60 * 24 * 30,  # 30 days
@@ -147,40 +90,70 @@ def decay(
     return np.exp2(-ages / halflife)
 
 
-# %%
-def calculate_decayed_charts(
+def calculate_charts(
     ratings,
     end_date=None,
-    halflife=60 * 60 * 24 * 30,  # 30 days
+    days=30,
     percentiles=(0.25, 0.75),
+    decay=False,
 ):
     end_date = end_date or pd.Timestamp.utcnow()
     pct_lower, pct_upper = percentiles
+    ratings = ratings[ratings.index <= end_date]  # don't care past end date
+
+    if decay:
+        halflife = 60 * 60 * 24 * days  # convert to seconds
+        weights = exp_decay(dates=ratings.index, anchor=end_date, halflife=halflife)
+
+        tmp = pd.DataFrame(
+            data={
+                "bgg_id": ratings["bgg_id"],
+                "positive": np.where(
+                    ratings["bgg_user_rating"]
+                    >= ratings["bgg_user_rating"].quantile(pct_upper),
+                    weights,
+                    0,
+                ),
+                "negative": np.where(
+                    ratings["bgg_user_rating"]
+                    <= ratings["bgg_user_rating"].quantile(pct_lower),
+                    weights,
+                    0,
+                ),
+            }
+        )
+
+        grouped = tmp.groupby("bgg_id").sum()
+        raw_scores = grouped["positive"] - grouped["negative"]
+        del grouped, tmp, weights
+
+    else:
+        window = timedelta(days=days)
+        start_date = end_date - window
+        recent_ratings = ratings[ratings.index >= start_date]
+
+        tmp = pd.DataFrame()
+        tmp["positive"] = (
+            recent_ratings[
+                recent_ratings["bgg_user_rating"]
+                >= recent_ratings["bgg_user_rating"].quantile(pct_upper)
+            ]
+            .groupby("bgg_id")["item_id"]
+            .count()
+        )
+        tmp["negative"] = (
+            recent_ratings[
+                recent_ratings["bgg_user_rating"]
+                <= recent_ratings["bgg_user_rating"].quantile(pct_lower)
+            ]
+            .groupby("bgg_id")["item_id"]
+            .count()
+        )
+        tmp.fillna(0, inplace=True)
+        raw_scores = tmp["positive"] - tmp["negative"]
+        del recent_ratings, tmp
 
-    ratings = ratings[ratings.index <= end_date]
-    weights = decay(dates=ratings.index, anchor=end_date, halflife=halflife)
-
-    tmp = pd.DataFrame(
-        data={
-            "bgg_id": ratings["bgg_id"],
-            "positive": np.where(
-                ratings["bgg_user_rating"]
-                >= ratings["bgg_user_rating"].quantile(pct_upper),
-                weights,
-                0,
-            ),
-            "negative": np.where(
-                ratings["bgg_user_rating"]
-                <= ratings["bgg_user_rating"].quantile(pct_lower),
-                weights,
-                0,
-            ),
-        }
-    )
-
-    grouped = tmp.groupby("bgg_id").sum()
-    raw_scores = grouped["positive"] - grouped["negative"]
-    games = ratings.groupby("bgg_id")["bgg_user_rating"].count()
+    games = previous_ratings.groupby("bgg_id")["bgg_user_rating"].count()
     scores = raw_scores * games.rank(pct=True, ascending=False)
     scores.dropna(inplace=True)
 
@@ -195,6 +168,16 @@ def calculate_decayed_charts(
 
 
 # %%
-decayed_charts = calculate_decayed_charts(df)
-decayed_charts["name"] = games["name"]
-decayed_charts[:10]
+charts = calculate_charts(df)
+charts["name"] = games["name"]
+charts[:10]
+
+# %%
+charts = calculate_charts(df, decay=True)
+charts["name"] = games["name"]
+charts[:10]
+
+# %% [markdown]
+# # Exponential decay
+#
+# **Idea**: Use exponential decay. For each rating, calculate its weight through its age (e.g., `1` if it's been cast right now, `0.5` if a month ago, `0.25` if two months ago, etc). Then sum weights instead of just counting within window.
-- 
GitLab


From 037732bf64f87c5c013c01a10c75eec1fe895450 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Thu, 31 Dec 2020 00:03:05 +0200
Subject: [PATCH 15/18] fixed a bug; yearly charts

---
 experiments/charts/charts.py | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 21d2d0ac..e8e12ff1 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -153,7 +153,7 @@ def calculate_charts(
         raw_scores = tmp["positive"] - tmp["negative"]
         del recent_ratings, tmp
 
-    games = previous_ratings.groupby("bgg_id")["bgg_user_rating"].count()
+    games = ratings.groupby("bgg_id")["bgg_user_rating"].count()
     scores = raw_scores * games.rank(pct=True, ascending=False)
     scores.dropna(inplace=True)
 
@@ -181,3 +181,12 @@ charts[:10]
 # # Exponential decay
 #
 # **Idea**: Use exponential decay. For each rating, calculate its weight through its age (e.g., `1` if it's been cast right now, `0.5` if a month ago, `0.25` if two months ago, etc). Then sum weights instead of just counting within window.
+
+# %%
+for year in range(df.index.min().year, df.index.max().year + 1):
+    print(f"Hottest games of the year *{year}*")
+    end_date = datetime(year + 1, 1, 1, tzinfo=timezone.utc)
+    charts = calculate_charts(ratings=df, end_date=end_date, days=365.25)
+    charts["name"] = games["name"]
+    print(charts[:10])
+    print()
-- 
GitLab


From c17df8cc5d2215f0e734a79f918bc04b775cd024 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Thu, 31 Dec 2020 00:08:26 +0200
Subject: [PATCH 16/18] fix timezones

---
 experiments/charts/charts.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index e8e12ff1..53faf7d7 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -18,6 +18,7 @@ import json
 from datetime import datetime, timedelta, timezone
 import numpy as np
 import pandas as pd
+import pytz
 from pytility import parse_date
 
 SEED = 23
@@ -185,7 +186,7 @@ charts[:10]
 # %%
 for year in range(df.index.min().year, df.index.max().year + 1):
     print(f"Hottest games of the year *{year}*")
-    end_date = datetime(year + 1, 1, 1, tzinfo=timezone.utc)
+    end_date = datetime(year + 1, 1, 1, tzinfo=pytz.UTC)
     charts = calculate_charts(ratings=df, end_date=end_date, days=365.25)
     charts["name"] = games["name"]
     print(charts[:10])
-- 
GitLab


From 56d902468fb6666a6aa2d347fcc03f6d63751af3 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Mon, 4 Jan 2021 23:16:50 +0200
Subject: [PATCH 17/18] updated Pipfiles

---
 experiments/charts/Pipfile      |   3 +-
 experiments/charts/Pipfile.lock | 404 +++++++++++++++++---------------
 2 files changed, 216 insertions(+), 191 deletions(-)

diff --git a/experiments/charts/Pipfile b/experiments/charts/Pipfile
index f5065a8c..8a0d298d 100644
--- a/experiments/charts/Pipfile
+++ b/experiments/charts/Pipfile
@@ -8,7 +8,7 @@ verify_ssl = true
 [packages]
 bokeh = "*"
 jupyter = "*"
-jupyterlab = "*"
+jupyterlab = "<3.0.0"
 jupytext = "*"
 matplotlib = "*"
 nb-black = "*"
@@ -18,6 +18,7 @@ pytility = "*"
 scikit-learn = "*"
 scipy = "*"
 seaborn = "*"
+snaptime = "*"
 
 [requires]
 python_version = "3.8"
diff --git a/experiments/charts/Pipfile.lock b/experiments/charts/Pipfile.lock
index 5b174d75..232ec474 100644
--- a/experiments/charts/Pipfile.lock
+++ b/experiments/charts/Pipfile.lock
@@ -1,7 +1,7 @@
 {
     "_meta": {
         "hash": {
-            "sha256": "e3ac87e20f7e96ba663b04d267b1be4e8983fc942b8c414beaa72fe7d844ff1e"
+            "sha256": "270b92c7accd6e97c44c03cb00f0389db1e2afe6aeda7573a011f5b02b457065"
         },
         "pipfile-spec": 6,
         "requires": {
@@ -25,11 +25,11 @@
         },
         "appnope": {
             "hashes": [
-                "sha256:5b26757dc6f79a3b7dc9fab95359328d5747fcb2409d331ea66d0272b90ab2a0",
-                "sha256:8b995ffe925347a2138d7ac0fe77155e4311a0ea6d6da4f5128fe4b3cbe5ed71"
+                "sha256:93aa393e9d6c54c5cd570ccadd8edad61ea0c4b9ea7a01409020c9aa019eb442",
+                "sha256:dd83cd4b5b460958838f6eb3000c660b1f9caf2a5b1de4264e941512f603258a"
             ],
             "markers": "sys_platform == 'darwin' and platform_system == 'Darwin'",
-            "version": "==0.1.0"
+            "version": "==0.1.2"
         },
         "argon2-cffi": {
             "hashes": [
@@ -101,10 +101,10 @@
         },
         "certifi": {
             "hashes": [
-                "sha256:1f422849db327d534e3d0c5f02a263458c3955ec0aae4ff09b95f195c59f4edd",
-                "sha256:f05def092c44fbf25834a51509ef6e631dc19765ab8a57b4e7ab85531f0a9cf4"
+                "sha256:1a4995114262bffbc2413b159f2a1a480c969de6e6eb13ee966d470af86af59c",
+                "sha256:719a74fb9e33b9bd44cc7f3a8d94bc35e4049deebe19ba7d8e108280cfd59830"
             ],
-            "version": "==2020.11.8"
+            "version": "==2020.12.5"
         },
         "cffi": {
             "hashes": [
@@ -129,12 +129,14 @@
                 "sha256:9cc46bc107224ff5b6d04369e7c595acb700c3613ad7bcf2e2012f62ece80c35",
                 "sha256:9f7a31251289b2ab6d4012f6e83e58bc3b96bd151f5b5262467f4bb6b34a7c26",
                 "sha256:9ffb888f19d54a4d4dfd4b3f29bc2c16aa4972f1c2ab9c4ab09b8ab8685b9c2b",
+                "sha256:a5ed8c05548b54b998b9498753fb9cadbfd92ee88e884641377d8a8b291bcc01",
                 "sha256:a7711edca4dcef1a75257b50a2fbfe92a65187c47dab5a0f1b9b332c5919a3fb",
                 "sha256:af5c59122a011049aad5dd87424b8e65a80e4a6477419c0c1015f73fb5ea0293",
                 "sha256:b18e0a9ef57d2b41f5c68beefa32317d286c3d6ac0484efd10d6e07491bb95dd",
                 "sha256:b4e248d1087abf9f4c10f3c398896c87ce82a9856494a7155823eb45a892395d",
                 "sha256:ba4e9e0ae13fc41c6b23299545e5ef73055213e466bd107953e4a013a5ddd7e3",
                 "sha256:c6332685306b6417a91b1ff9fae889b3ba65c2292d64bd9245c093b1b284809d",
+                "sha256:d5ff0621c88ce83a28a10d2ce719b2ee85635e85c515f12bac99a95306da4b2e",
                 "sha256:d9efd8b7a3ef378dd61a1e77367f1924375befc2eba06168b6ebfa903a5e59ca",
                 "sha256:df5169c4396adc04f9b0a05f13c074df878b6052430e03f50e68adf3a57aa28d",
                 "sha256:ebb253464a5d0482b191274f1c8bf00e33f7e0b9c66405fbffc61ed2c839c775",
@@ -147,10 +149,11 @@
         },
         "chardet": {
             "hashes": [
-                "sha256:84ab92ed1c4d4f16916e05906b6b75a6c0fb5db821cc65e70cbd64a3e2a5eaae",
-                "sha256:fc323ffcaeaed0e0a02bf4d117757b98aed530d9ed4531e3e15460124c106691"
+                "sha256:0d6f53a15db4120f2b08c94f11e7d93d2c911ee118b6b30a04ec3ee8310179fa",
+                "sha256:f864054d66fd9118f2e67044ac8981a54775ec5b67aed0441892edb553d21da5"
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-            "version": "==3.0.4"
+            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
+            "version": "==4.0.0"
         },
         "click": {
             "hashes": [
@@ -200,11 +203,11 @@
         },
         "ipykernel": {
             "hashes": [
-                "sha256:9b2652af1607986a1b231c62302d070bc0534f564c393a5d9d130db9abbbe89d",
-                "sha256:d6fbba26dba3cebd411382bc484f7bc2caa98427ae0ddb4ab37fe8bfeb5c7dd3"
+                "sha256:63b4b96c513e1138874934e3e783a8e5e13c02b9036e37107bfe042ac8955005",
+                "sha256:e20ceb7e52cb4d250452e1230be76e0b2323f33bd46c6b2bc7abb6601740e182"
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             "markers": "python_version >= '3.5'",
-            "version": "==5.3.4"
+            "version": "==5.4.2"
         },
         "ipython": {
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@@ -223,18 +226,18 @@
         },
         "ipywidgets": {
             "hashes": [
-                "sha256:13ffeca438e0c0f91ae583dc22f50379b9d6b28390ac7be8b757140e9a771516",
-                "sha256:e945f6e02854a74994c596d9db83444a1850c01648f1574adf144fbbabe05c97"
+                "sha256:bbb881ce18fb0cff4ac718f40c04709c7ac86a77abee149f1b447965ede86e36",
+                "sha256:eab960f737f380075cabca41f92e5e81dfb6eba3ce6392094469ef2418ca4d35"
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-            "version": "==7.5.1"
+            "version": "==7.6.2"
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         "jedi": {
             "hashes": [
-                "sha256:86ed7d9b750603e4ba582ea8edc678657fb4007894a12bcf6f4bb97892f31d20",
-                "sha256:98cc583fa0f2f8304968199b01b6b4b94f469a1f4a74c1560506ca2a211378b5"
+                "sha256:18456d83f65f400ab0c2d3319e48520420ef43b23a086fdc05dff34132f0fb93",
+                "sha256:92550a404bad8afed881a137ec9a461fed49eca661414be45059329614ed0707"
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-            "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3, 3.4'",
-            "version": "==0.17.2"
+            "markers": "python_version >= '3.6'",
+            "version": "==0.18.0"
         },
         "jinja2": {
             "hashes": [
@@ -246,11 +249,11 @@
         },
         "joblib": {
             "hashes": [
-                "sha256:698c311779f347cf6b7e6b8a39bb682277b8ee4aba8cf9507bc0cf4cd4737b72",
-                "sha256:9e284edd6be6b71883a63c9b7f124738a3c16195513ad940eae7e3438de885d5"
+                "sha256:75ead23f13484a2a414874779d69ade40d4fa1abe62b222a23cd50d4bc822f6f",
+                "sha256:7ad866067ac1fdec27d51c8678ea760601b70e32ff1881d4dc8e1171f2b64b24"
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             "markers": "python_version >= '3.6'",
-            "version": "==0.17.0"
+            "version": "==1.0.0"
         },
         "json5": {
             "hashes": [
@@ -322,13 +325,21 @@
             "markers": "python_version >= '3.5'",
             "version": "==1.2.0"
         },
+        "jupyterlab-widgets": {
+            "hashes": [
+                "sha256:5c1a29a84d3069208cb506b10609175b249b6486d6b1cbae8fcde2a11584fb78",
+                "sha256:caeaf3e6103180e654e7d8d2b81b7d645e59e432487c1d35a41d6d3ee56b3fef"
+            ],
+            "markers": "python_version >= '3.5'",
+            "version": "==1.0.0"
+        },
         "jupytext": {
             "hashes": [
-                "sha256:23123b90c267c67716fe6a022dfae49b84fd3809370d83211f2920eb3106bf40",
-                "sha256:e48f57afdc807cc2d2920bd6ae18455264db78b1fc78061ad70dcc26dc45a2cb"
+                "sha256:49f64b1b8171abfb769663d4f35d87dd59b91306aebf36019bd6f39eaf32ad92",
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-            "version": "==1.7.1"
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@@ -370,11 +381,11 @@
         },
         "markdown-it-py": {
             "hashes": [
-                "sha256:6143d11221495edbf71beb7e455821ae6c8f0156710a1b11812662ed6dbd165b",
-                "sha256:dcfe4a0c6bef711cb6c42494ebf23a3cfe6f249bf995556498497dd8193bfc22"
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+                "sha256:f22808fed0fd5c006c5c1626ea4e6c68123d5af54eb54712af77a4c57ad34ebc"
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-            "markers": "python_version >= '3.6'",
-            "version": "==0.5.6"
+            "markers": "python_version ~= '3.6'",
+            "version": "==0.6.1"
         },
         "markupsafe": {
             "hashes": [
@@ -446,6 +457,14 @@
             "index": "pypi",
             "version": "==3.3.3"
         },
+        "mdit-py-plugins": {
+            "hashes": [
+                "sha256:e7db0de4a3466941faa433f77a98d09a09a0b877e79eace79506fd0d083e490f",
+                "sha256:f13ad035e977db0dd268af4a372716f3b555f1435f9623b4aed10c3c8bbf618c"
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+            "markers": "python_version ~= '3.6'",
+            "version": "==0.2.4"
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         "mistune": {
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                 "sha256:59a3429db53c50b5c6bcc8a07f8848cb00d7dc8bdb431a4ab41920d201d4756e",
@@ -501,11 +520,11 @@
         },
         "notebook": {
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-                "sha256:508cf9dad7cdb3188f1aa27017dc78179029dfe83814fc505329f689bc2ab50f"
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-            "version": "==6.1.5"
+            "version": "==6.1.6"
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         "numpy": {
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@@ -549,41 +568,34 @@
         },
         "packaging": {
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-                "sha256:eb41423378682dadb7166144a4926e443093863024de508ca5c9737d6bc08376"
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-            "version": "==20.7"
+            "version": "==20.8"
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@@ -593,11 +605,11 @@
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@@ -623,37 +635,37 @@
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+                "sha256:b02a0b9f332086657852b1f7cb380f6a42403a6d9c42a4c34a561aa4530d5234",
+                "sha256:b09e10ec453de97f9a23a5aa5e30b334195e8d2ddd1ce76cc32e52ba63c8b31d",
+                "sha256:b6f00ad5ebe846cc91763b1d0c6d30a8042e02b2316e27b05de04fa6ec831ec5",
+                "sha256:bba80df38cfc17f490ec651c73bb37cd896bc2400cfba27d078c2135223c1206",
+                "sha256:c3d911614b008e8a576b8e5303e3db29224b455d3d66d1b2848ba6ca83f9ece9",
+                "sha256:ca20739e303254287138234485579b28cb0d524401f83d5129b5ff9d606cb0a8",
+                "sha256:cb192176b477d49b0a327b2a5a4979552b7a58cd42037034316b8018ac3ebb59",
+                "sha256:cdbbe7dff4a677fb555a54f9bc0450f2a21a93c5ba2b44e09e54fcb72d2bd13d",
+                "sha256:d355502dce85ade85a2511b40b4c61a128902f246504f7de29bbeec1ae27933a",
+                "sha256:dc577f4cfdda354db3ae37a572428a90ffdbe4e51eda7849bf442fb803f09c9b",
+                "sha256:dd9eef866c70d2cbbea1ae58134eaffda0d4bfea403025f4db6859724b18ab3d"
             ],
             "markers": "python_version >= '3.6'",
-            "version": "==8.0.1"
+            "version": "==8.1.0"
         },
         "prometheus-client": {
             "hashes": [
@@ -672,11 +684,11 @@
         },
         "ptyprocess": {
             "hashes": [
-                "sha256:923f299cc5ad920c68f2bc0bc98b75b9f838b93b599941a6b63ddbc2476394c0",
-                "sha256:d7cc528d76e76342423ca640335bd3633420dc1366f258cb31d05e865ef5ca1f"
+                "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35",
+                "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"
             ],
             "markers": "os_name != 'nt'",
-            "version": "==0.6.0"
+            "version": "==0.7.0"
         },
         "pycparser": {
             "hashes": [
@@ -688,11 +700,11 @@
         },
         "pygments": {
             "hashes": [
-                "sha256:381985fcc551eb9d37c52088a32914e00517e57f4a21609f48141ba08e193fa0",
-                "sha256:88a0bbcd659fcb9573703957c6b9cff9fab7295e6e76db54c9d00ae42df32773"
+                "sha256:ccf3acacf3782cbed4a989426012f1c535c9a90d3a7fc3f16d231b9372d2b716",
+                "sha256:f275b6c0909e5dafd2d6269a656aa90fa58ebf4a74f8fcf9053195d226b24a08"
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             "markers": "python_version >= '3.5'",
-            "version": "==2.7.2"
+            "version": "==2.7.3"
         },
         "pyparsing": {
             "hashes": [
@@ -719,18 +731,18 @@
         },
         "pytility": {
             "hashes": [
-                "sha256:2020592384f6195cd7b6b894cedd05a591c38fa706ab6d7af6c798d522ce7434",
-                "sha256:97af04966494ddf3998f17b378e62a5841f42b50db366d618970108aaf7b8f52"
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+                "sha256:c12c22c4eac1ce71a3c812931057eb73e8b8c001cd08973a941630b7f667b31e"
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             "index": "pypi",
-            "version": "==0.1.3"
+            "version": "==0.2.0"
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         "pytz": {
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-                "sha256:5c55e189b682d420be27c6995ba6edce0c0a77dd67bfbe2ae6607134d5851ffd"
+                "sha256:16962c5fb8db4a8f63a26646d8886e9d769b6c511543557bc84e9569fb9a9cb4",
+                "sha256:180befebb1927b16f6b57101720075a984c019ac16b1b7575673bea42c6c3da5"
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-            "version": "==2020.4"
+            "version": "==2020.5"
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@@ -762,6 +774,7 @@
                 "sha256:46250789730489009fe139cbf576679557c070a6a3628077d09a4153d52fd381",
                 "sha256:4d9259a5eb3f71abbaf61f165cacf42240bfeea3783bebd8255341abdfe206f1",
                 "sha256:523d542823cabb94065178090e05347bd204365f6e7cb260f0071c995d392fc2",
+                "sha256:53706f4a792cdae422121fb6a5e65119bad02373153364fc9d004cf6a90394de",
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                 "sha256:6e24907857c80dc67692e31f5bf3ad5bf483ee0142cec95b3d47e2db8c43bdda",
@@ -777,6 +790,7 @@
                 "sha256:cfa54a162a7b32641665e99b2c12084555afe9fc8fe80ec8b2f71a57320d10e1",
                 "sha256:d81184489369ec325bd50ba1c935361e63f31f578430b9ad95471899361a8253",
                 "sha256:d92c7f41a53ece82b91703ea433c7d34143248cf0cead33aa11c5fc621c764bf",
+                "sha256:dc2f48b575dff6edefd572f1ac84cf0c3f18ad5fcf13384de32df740a010594a",
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                 "sha256:f110a4d3f8f01209eec304ed542f6c8054cce9b0f16dfe3d571e57c290e4e133"
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@@ -846,72 +860,75 @@
         },
         "requests": {
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-            "version": "==2.25.0"
+            "version": "==2.25.1"
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@@ -928,13 +945,20 @@
             "markers": "python_version >= '2.7' and python_version not in '3.0, 3.1, 3.2, 3.3'",
             "version": "==1.15.0"
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+        "snaptime": {
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         "testpath": {
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@@ -1016,38 +1040,38 @@
         },
         "typed-ast": {
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-                "sha256:b52ccf7cfe4ce2a1064b18594381bccf4179c2ecf7f513134ec2f993dd4ab395",
-                "sha256:bcd3b13b56ea479b3650b82cabd6b5343a625b0ced5429e4ccad28a8973f301b",
-                "sha256:c9e348e02e4d2b4a8b2eedb48210430658df6951fa484e59de33ff773fbd4b41",
-                "sha256:d205b1b46085271b4e15f670058ce182bd1199e56b317bf2ec004b6a44f911f6",
-                "sha256:d43943ef777f9a1c42bf4e552ba23ac77a6351de620aa9acf64ad54933ad4d34",
-                "sha256:d5d33e9e7af3b34a40dc05f498939f0ebf187f07c385fd58d591c533ad8562fe",
-                "sha256:d648b8e3bf2fe648745c8ffcee3db3ff903d0817a01a12dd6a6ea7a8f4889072",
-                "sha256:f208eb7aff048f6bea9586e61af041ddf7f9ade7caed625742af423f6bae3298",
-                "sha256:fac11badff8313e23717f3dada86a15389d0708275bddf766cca67a84ead3e91",
-                "sha256:fc0fea399acb12edbf8a628ba8d2312f583bdbdb3335635db062fa98cf71fca4",
-                "sha256:fcf135e17cc74dbfbc05894ebca928ffeb23d9790b3167a674921db19082401f",
-                "sha256:fe460b922ec15dd205595c9b5b99e2f056fd98ae8f9f56b888e7a17dc2b757e7"
-            ],
-            "version": "==1.4.1"
+                "sha256:07d49388d5bf7e863f7fa2f124b1b1d89d8aa0e2f7812faff0a5658c01c59aa1",
+                "sha256:14bf1522cdee369e8f5581238edac09150c765ec1cb33615855889cf33dcb92d",
+                "sha256:240296b27397e4e37874abb1df2a608a92df85cf3e2a04d0d4d61055c8305ba6",
+                "sha256:36d829b31ab67d6fcb30e185ec996e1f72b892255a745d3a82138c97d21ed1cd",
+                "sha256:37f48d46d733d57cc70fd5f30572d11ab8ed92da6e6b28e024e4a3edfb456e37",
+                "sha256:4c790331247081ea7c632a76d5b2a265e6d325ecd3179d06e9cf8d46d90dd151",
+                "sha256:5dcfc2e264bd8a1db8b11a892bd1647154ce03eeba94b461effe68790d8b8e07",
+                "sha256:7147e2a76c75f0f64c4319886e7639e490fee87c9d25cb1d4faef1d8cf83a440",
+                "sha256:7703620125e4fb79b64aa52427ec192822e9f45d37d4b6625ab37ef403e1df70",
+                "sha256:8368f83e93c7156ccd40e49a783a6a6850ca25b556c0fa0240ed0f659d2fe496",
+                "sha256:84aa6223d71012c68d577c83f4e7db50d11d6b1399a9c779046d75e24bed74ea",
+                "sha256:85f95aa97a35bdb2f2f7d10ec5bbdac0aeb9dafdaf88e17492da0504de2e6400",
+                "sha256:8db0e856712f79c45956da0c9a40ca4246abc3485ae0d7ecc86a20f5e4c09abc",
+                "sha256:9044ef2df88d7f33692ae3f18d3be63dec69c4fb1b5a4a9ac950f9b4ba571606",
+                "sha256:963c80b583b0661918718b095e02303d8078950b26cc00b5e5ea9ababe0de1fc",
+                "sha256:987f15737aba2ab5f3928c617ccf1ce412e2e321c77ab16ca5a293e7bbffd581",
+                "sha256:9ec45db0c766f196ae629e509f059ff05fc3148f9ffd28f3cfe75d4afb485412",
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+                "sha256:a2c927c49f2029291fbabd673d51a2180038f8cd5a5b2f290f78c4516be48be2",
+                "sha256:a38878a223bdd37c9709d07cd357bb79f4c760b29210e14ad0fb395294583787",
+                "sha256:b4fcdcfa302538f70929eb7b392f536a237cbe2ed9cba88e3bf5027b39f5f77f",
+                "sha256:c0c74e5579af4b977c8b932f40a5464764b2f86681327410aa028a22d2f54937",
+                "sha256:c1c876fd795b36126f773db9cbb393f19808edd2637e00fd6caba0e25f2c7b64",
+                "sha256:c9aadc4924d4b5799112837b226160428524a9a45f830e0d0f184b19e4090487",
+                "sha256:cc7b98bf58167b7f2db91a4327da24fb93368838eb84a44c472283778fc2446b",
+                "sha256:cf54cfa843f297991b7388c281cb3855d911137223c6b6d2dd82a47ae5125a41",
+                "sha256:d003156bb6a59cda9050e983441b7fa2487f7800d76bdc065566b7d728b4581a",
+                "sha256:d175297e9533d8d37437abc14e8a83cbc68af93cc9c1c59c2c292ec59a0697a3",
+                "sha256:d746a437cdbca200622385305aedd9aef68e8a645e385cc483bdc5e488f07166",
+                "sha256:e683e409e5c45d5c9082dc1daf13f6374300806240719f95dc783d1fc942af10"
+            ],
+            "version": "==1.4.2"
         },
         "typing-extensions": {
             "hashes": [
-- 
GitLab


From a6ed8056d187e1486a52f0b0b3d4db176a231b07 Mon Sep 17 00:00:00 2001
From: Markus Schepke <markus.schepke@wolt.com>
Date: Mon, 4 Jan 2021 23:17:06 +0200
Subject: [PATCH 18/18] added weekly charts

---
 experiments/charts/charts.py | 26 ++++++++++++++++++--------
 1 file changed, 18 insertions(+), 8 deletions(-)

diff --git a/experiments/charts/charts.py b/experiments/charts/charts.py
index 53faf7d7..19e080a6 100644
--- a/experiments/charts/charts.py
+++ b/experiments/charts/charts.py
@@ -20,6 +20,7 @@ import numpy as np
 import pandas as pd
 import pytz
 from pytility import parse_date
+from snaptime import snap
 
 SEED = 23
 
@@ -54,12 +55,11 @@ def process_ratings(
 
 
 # %%
-# %%time
 try:
-    df = pd.read_feather("charts.feather").set_index('updated_at')
+    df = pd.read_feather("charts.feather").set_index("updated_at")
 except Exception:
     with open(
-        "../../../board-game-scraper/feeds/bgg/RatingItem/2020-12-28T07-00-47-merged.jl"
+        "../../../board-game-scraper/feeds/bgg/RatingItem/2021-01-04T07-24-27-merged.jl"
     ) as file:
         df = pd.DataFrame.from_records(process_ratings(file), index="updated_at")
     df.reset_index().to_feather("charts.feather")
@@ -173,11 +173,6 @@ charts = calculate_charts(df)
 charts["name"] = games["name"]
 charts[:10]
 
-# %%
-charts = calculate_charts(df, decay=True)
-charts["name"] = games["name"]
-charts[:10]
-
 # %% [markdown]
 # # Exponential decay
 #
@@ -191,3 +186,18 @@ for year in range(df.index.min().year, df.index.max().year + 1):
     charts["name"] = games["name"]
     print(charts[:10])
     print()
+
+# %%
+chart_date = snap(
+    pd.Timestamp.utcnow(), "@w5@w1"
+)  # release on Friday the charts of the previous week
+charts = calculate_charts(
+    ratings=df,
+    end_date=chart_date,
+    days=7,
+    percentiles=(0.25, 0.75),
+    decay=False,
+)
+charts["name"] = games["name"]
+print(f"Charts for *{chart_date.strftime('%Y-%m-%d')}*")
+charts[:10]
-- 
GitLab