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Copy pathPlotDeck.py
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898 lines (726 loc) · 31.9 KB
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import sys
import argparse
import pandas as pd
import numpy as np
from PyQt5 import QtWidgets, QtCore
import pyqtgraph as pg
import json
import os
from PyQt5.QtWidgets import QFileDialog, QMessageBox
from PyQt5.QtGui import QPixmap, QPainter
class PlotDeck(QtWidgets.QMainWindow):
def __init__(self, split_mode="."):
super().__init__()
self.split_mode = split_mode
self.setWindowTitle("PlotDeck")
self.resize(1800, 950)
self.df = None
self.x_data = None
self.fft_windows = []
self.current_plotset_file = None
main_widget = QtWidgets.QWidget()
self.setCentralWidget(main_widget)
main_layout = QtWidgets.QHBoxLayout(main_widget)
# -----------------------------
# LEFT SIDE: plots
# -----------------------------
plot_container = QtWidgets.QVBoxLayout()
main_layout.addLayout(plot_container, 4)
control_bar = QtWidgets.QHBoxLayout()
plot_container.addLayout(control_bar)
self.load_button = QtWidgets.QPushButton("Load CSV")
self.load_button.clicked.connect(self.load_csv)
control_bar.addWidget(self.load_button)
self.x_dropdown = QtWidgets.QComboBox()
self.x_dropdown.currentIndexChanged.connect(self.update_x_axis)
control_bar.addWidget(self.x_dropdown)
# toggle cursor crosshar visibility
self.cursor_enabled = False
self.cursor_toggle = QtWidgets.QPushButton("Toggle Cursor ON")
self.cursor_toggle.setCheckable(True)
self.cursor_toggle.setChecked(True)
self.cursor_toggle.clicked.connect(self.toggle_cursor)
control_bar.addWidget(self.cursor_toggle)
self.cursor_idx = None
self.cursor_label = None
# Save/load plot set buttons
self.load_plotset_button = QtWidgets.QPushButton("Load Plot Set")
self.load_plotset_button.clicked.connect(self.load_plot_set)
control_bar.addWidget(self.load_plotset_button)
self.save_plotset_button = QtWidgets.QPushButton("Save Plot Set")
self.save_plotset_button.clicked.connect(self.save_plot_set)
control_bar.addWidget(self.save_plotset_button)
# -----------------------------
# Save all plots as PNG
# -----------------------------
self.save_png_button = QtWidgets.QPushButton("Save All Plots as PNG")
self.save_png_button.clicked.connect(self.save_all_plots_png)
control_bar.addWidget(self.save_png_button)
self.plots = []
for i in range(4):
plot = pg.PlotWidget()
plot.showGrid(x=True, y=True)
plot_container.addWidget(plot)
if i > 0:
plot.setXLink(self.plots[0])
legend = plot.addLegend(labelTextColor='k')
legend.setBrush(pg.mkBrush(255, 255, 255, 200)) # white, alpha=200 (semi-transparent)
self.add_cursor(plot, i)
self.plots.append(plot)
self.cursor_label = pg.TextItem(anchor=(0,1), border=pg.mkPen('k'), fill=pg.mkBrush(20,20,20,220))
self.plots[0].addItem(self.cursor_label) # add to first plot
# -----------------------------
# RIGHT SIDE: trees + FFT + clear buttons
# -----------------------------
right_panel = QtWidgets.QVBoxLayout()
main_layout.addLayout(right_panel, 1)
self.trees = []
self.clear_buttons = []
self.fft_buttons = []
for i in range(4):
label = QtWidgets.QLabel(f"Plot {i+1} Variables")
right_panel.addWidget(label)
# FFT button
fft_btn = QtWidgets.QPushButton("Show FFT of Current Window")
fft_btn.clicked.connect(lambda _, idx=i: self.plot_fft_button(idx))
right_panel.addWidget(fft_btn)
self.fft_buttons.append(fft_btn)
# Bode button
bode_btn = QtWidgets.QPushButton("Show Bode of Current Window (Setpoint → Measurement)")
bode_btn.clicked.connect(lambda _, idx=i: self.plot_bode_button(idx))
right_panel.addWidget(bode_btn)
# Clear button
clear_btn = QtWidgets.QPushButton("Clear Selection")
clear_btn.clicked.connect(lambda _, idx=i: self.clear_selection(idx))
right_panel.addWidget(clear_btn)
self.clear_buttons.append(clear_btn)
tree = QtWidgets.QTreeWidget()
tree.setHeaderHidden(True)
tree.itemChanged.connect(lambda item, col, idx=i: self.update_plots())
tree.setVerticalScrollMode(QtWidgets.QAbstractItemView.ScrollPerPixel)
right_panel.addWidget(tree)
self.trees.append(tree)
# WASD key support
self.installEventFilter(self)
# autoscale when x-range changes
for plot in self.plots:
plot.sigXRangeChanged.connect(self.autoscale_y)
# -----------------------------
# Save all plots as PNG
# -----------------------------
def save_all_plots_png(self):
if not self.plots:
return
base_dir = os.path.dirname(os.path.abspath(__file__))
images_dir = os.path.join(base_dir, "ImageExports")
path, _ = QFileDialog.getSaveFileName(
self, "Save Plots as PNG", images_dir, "PNG Files (*.png)"
)
if not path:
return
if not path.lower().endswith(".png"):
path += ".png"
# Grab each plot as QPixmap
pixmaps = [plot.grab() for plot in self.plots]
widths = [p.width() for p in pixmaps]
heights = [p.height() for p in pixmaps]
# Determine combined image size (2x2 grid)
total_width = max(widths)
total_height = sum(heights)
combined_pixmap = QPixmap(total_width, total_height)
combined_pixmap.fill(QtCore.Qt.white)
painter = QPainter(combined_pixmap)
y_offset = 0
8000
for pix in pixmaps:
painter.drawPixmap(0, y_offset, pix)
y_offset += pix.height()
painter.end()
combined_pixmap.save(path)
QMessageBox.information(self, "Saved", f"All plots saved as:\n{path}")
# -----------------------------
# Plot FFT for button
# -----------------------------
def plot_fft_button(self, plot_idx):
plot = self.plots[plot_idx]
view = plot.getViewBox()
xmin, xmax = view.viewRange()[0]
fft_win = pg.GraphicsLayoutWidget(title=f"FFT Plot {plot_idx+1}")
self.fft_windows.append(fft_win) # KEEP IT ALIVE
fft_plot = fft_win.addPlot(title="FFT (Visible X Range)")
fft_plot.showGrid(x=True, y=True)
fft_plot.addLegend(labelTextColor='k')
fft_plot.legend.setBrush(pg.mkBrush(255, 255, 255, 200)) # white, alpha=200 (semi-transparent)
for curve in plot.listDataItems():
y = curve.yData
if y is None:
continue
mask = (self.x_data >= xmin) & (self.x_data <= xmax)
y_visible = y[mask]
x_visible = self.x_data[mask]
if len(x_visible) < 2:
continue
dt = np.mean(np.diff(x_visible))
y_fft = np.fft.rfft(y_visible - np.mean(y_visible))
freqs = np.fft.rfftfreq(len(y_visible), d=dt)
mag = np.abs(y_fft)
pen = curve.opts.get('pen', pg.mkPen('r'))
fft_plot.plot(freqs, mag, pen=pen, name=curve.name())
fft_plot.setLabel('bottom', 'Frequency', units='Hz')
fft_plot.setLabel('left', 'Magnitude')
fft_win.show()
# -----------------------------
# Plot bode button
# -----------------------------
def plot_bode_button(self, plot_idx):
plot = self.plots[plot_idx]
curves = plot.listDataItems()
if len(curves) < 2:
QMessageBox.warning(self, "Error", "Need at least 2 plotted signals.")
return
# -----------------------------------
# Prompt user to pick setpoint + measurement
# -----------------------------------
names = [c.name() for c in curves if c.name() is not None]
if len(names) < 2:
QMessageBox.warning(self, "Error", "Curves must have names.")
return
setpoint_name, ok1 = QtWidgets.QInputDialog.getItem(
self, "Select Setpoint", "Setpoint signal:", names, 0, False
)
if not ok1:
return
measurement_name, ok2 = QtWidgets.QInputDialog.getItem(
self, "Select Measurement", "Measurement signal:", names, 1, False
)
if not ok2:
return
if setpoint_name == measurement_name:
QMessageBox.warning(self, "Error", "Setpoint and measurement must differ.")
return
# Get curves
setpoint_curve = next(c for c in curves if c.name() == setpoint_name)
measurement_curve = next(c for c in curves if c.name() == measurement_name)
# -----------------------------------
# Extract visible window
# -----------------------------------
view = plot.getViewBox()
xmin, xmax = view.viewRange()[0]
mask = (self.x_data >= xmin) & (self.x_data <= xmax)
x = self.x_data[mask]
u = setpoint_curve.yData[mask]
y = measurement_curve.yData[mask]
if len(x) < 64:
QMessageBox.warning(self, "Error", "Not enough data in visible window.")
return
dt = np.mean(np.diff(x))
fs = 1.0 / dt
# -----------------------------------
# Welch parameters
# -----------------------------------
nperseg = min(1024, len(x))
noverlap = nperseg // 2
step = nperseg - noverlap
window = np.hanning(nperseg)
Suu = None
Syy = None
Syu = None
count = 0
# -----------------------------------
# Segment loop (Welch averaging)
# -----------------------------------
for start in range(0, len(x) - nperseg + 1, step):
u_seg = u[start:start+nperseg]
y_seg = y[start:start+nperseg]
# Detrend
u_seg =
10000
u_seg - np.mean(u_seg)
y_seg = y_seg - np.mean(y_seg)
# Window
u_seg *= window
y_seg *= window
# FFT
U = np.fft.rfft(u_seg)
Y = np.fft.rfft(y_seg)
# Spectra
Suu_seg = U * np.conj(U)
Syy_seg = Y * np.conj(Y)
Syu_seg = Y * np.conj(U)
if Suu is None:
Suu = Suu_seg
Syy = Syy_seg
Syu = Syu_seg
else:
Suu += Suu_seg
Syy += Syy_seg
Syu += Syu_seg
count += 1
if count == 0:
QMessageBox.warning(self, "Error", "Failed to segment data.")
return
# Average
Suu /= count
Syy /= count
Syu /= count
freqs = np.fft.rfftfreq(nperseg, d=dt)
# -----------------------------------
# Transfer function + coherence
# -----------------------------------
eps = 1e-12
H = Syu / (Suu + eps)
coherence = np.abs(Syu)**2 / (Suu * Syy + eps)
mag = 20 * np.log10(np.abs(H))
phase = np.angle(H, deg=True)
# Force real (critical for pyqtgraph)
mag = np.real(mag)
phase = np.real(phase)
coherence = np.real(coherence)
# -----------------------------------
# Mask bad frequencies
# -----------------------------------
# Reject low excitation or low coherence
valid = (np.abs(Suu) > 1e-8) & (coherence > 0.3) & (freqs > 0)
freqs = freqs[valid]
mag = mag[valid]
phase = phase[valid]
coherence = coherence[valid]
if len(freqs) < 5:
QMessageBox.warning(self, "Warning", "Low coherence — results may be unreliable.")
# -----------------------------------
# Create plots
# -----------------------------------
bode_win = pg.GraphicsLayoutWidget(title=f"Bode Plot {plot_idx+1}")
self.fft_windows.append(bode_win)
mag_plot = bode_win.addPlot(title="Magnitude (dB)")
mag_plot.showGrid(x=True, y=True)
bode_win.nextRow()
phase_plot = bode_win.addPlot(title="Phase (deg)")
phase_plot.showGrid(x=True, y=True)
bode_win.nextRow()
coh_plot = bode_win.addPlot(title="Coherence")
coh_plot.showGrid(x=True, y=True)
# Log frequency axis
mag_plot.setLogMode(x=True, y=False)
phase_plot.setLogMode(x=True, y=False)
coh_plot.setLogMode(x=True, y=False)
phase_plot.setXLink(mag_plot)
coh_plot.setXLink(mag_plot)
# Plot
mag_plot.plot(freqs, mag, name="Magnitude", pen=pg.mkPen((50, 100, 255), width=2))
phase_plot.plot(freqs, phase, name="Phase", pen=pg.mkPen((0, 255, 0), width=2))
coh_plot.plot(freqs, coherence, name="Coherence", pen=pg.mkPen((255, 0, 0), width=2))
# Labels
mag_plot.setLabel('left', 'Magnitude', units='dB')
mag_plot.setLabel('bottom', 'Frequency', units='Hz')
phase_plot.setLabel('left', 'Phase', units='deg')
phase_plot.setLabel('bottom', 'Frequency', units='Hz')
coh_plot.setLabel('left', 'Coherence')
coh_plot.setLabel('bottom', 'Frequency', units='Hz')
bode_win.show()
# -----------------------------
# Save/Load Plot Sets
# -----------------------------
def save_plot_set(self):
if not self.trees:
return
plot_set = {}
for idx, tree in enumerate(self.trees):
checked = []
def collect(item):
for i in range(item.childCount()):
child = item.child(i)
if child.childCount() > 0:
collect(child)
elif child.checkState(0) == QtCore.Qt.Checked:
checked.append(child.text(0))
for i in range(tree.topLevelItemCount()):
collect(tree.topLevelItem(i))
plot_set[idx] = checked
base_dir = os.path.dirname(os.path.abspath(__file__))
plotsets_dir = os.path.join(base_dir, "PlotSets")
path, _ = QtWidgets.QFileDialog.getSaveFileName(
self, "Save Plot Set", plotsets_dir, "JSON Files (*.json)")
if path:
if not path.lower().endswith(".json"):
path += ".json"
with open(path, "w") as f:
json.dump(plot_set, f, indent=2)
def load_plot_set(self):
base_dir = os.path.dirname(os.path.abspath(__file__))
plotsets_dir = os.path.join(base_dir, "PlotSets")
path, _ = QtWidgets.QFileDialog.getOpenFileName(
self, "Load Plot Set", plotsets_dir, "JSON Files (*.json)")
if not path or not os.path.exists(path):
return
with open(path, "r") as f:
plot_set = json.load(f)
# Uncheck all first
for tree in self.trees:
for i in range(tree.topLevelItemCount()):
tree.topLevelItem(i).setCheckState(0, QtCore.Qt.Unchecked)
# Check only variables that exist in the current CSV
if self.df is not None:
csv_cols = set(self.df.columns)
for idx, items in plot_set.items():
tree = self.trees[int(idx)]
items = [itm for itm in items if itm in csv_cols]
def collect(item):
for i in range(item.childCount()):
child = item.child(i)
if child.childCount() > 0:
collect(child)
elif child.text(0) in items:
child.setCheckState(0, QtCore.Qt.Checked)
for i in range(tree.topLevelItemCount()):
collect(tree.topLevelItem(i))
# Update plots
self.update_plots()
# Set the current plot set and update window title
self.current_plotset_file = os.path.splitext(os.path.basename(path))[0]
self.setWindowTitle(f"Flight Log Viewer - Plot Set: {self.current_plotset_file}")
# -----------------------------
# Load CSV
# -----------------------------
def load_csv(self):
# use last directory if it exists, otherwise default to home
start_dir = getattr(self, "last_dir", "")
path, _ = QtWidgets.QFileDialog.getOpenFileName(
self, "Select CSV", start_dir, "CSV Files (*.csv)")
if not path:
return
# save directory for next time
self.last_dir = os.path.dirname(path)
# store current checked items per tree, filtered by columns in new CSV
checked_items_per_tree = []
new_df = pd.read_csv(path)
new_df.columns = new_df.columns.str.strip()
csv_cols = set(new_df.columns)
for tree in self.trees:
checked = set()
def collect(item):
for i in range(item.childCount()):
child = item.child(i)
if child.childCount() > 0:
collect(child)
elif child.checkState(0) == QtCore.Qt.Checked and child.text(0) in csv_cols:
checked.add(child.text(0))
for i in range(tree.topLevelItemCount()):
collect(tree.topLevelItem(i))
checked_items_per_tree.append(checked)
self.df = new_df
# =========================
# LOAD DERIVED COLUMN DEFS
# =========================
try:
base_dir = os.path.dirname(os.path.abspath(__file__))
config_path = os.path.join(base_dir, "userDerivedFields.json")
if os.path.exists(config_path):
with open(config_path, "r") as f:
config = json.load(f)
derived_list = config.get("derived_data_columns", [])
# Build safe evaluation context
# Replace dots with underscores for eval compatibility
df_eval = self.df.copy()
col_map = {}
for col in df_eval.columns:
safe_col = col.replace('.', '_')
col_map[col] = safe_col
df_eval.rename(columns={col: safe_col}, inplace=True)
for item in derived_list:
name = item.get("name")
expr = item.get("expression")
if not name or not expr:
continue
try:
# Convert expression to safe column names
expr_safe = expr
for orig, safe in col_map.items():
expr_safe = expr_safe.replace(orig, safe)
# Evaluate
result = df_eval.eval(expr_safe)
# Only assign if successful
self.df[name] = result
except Exception:
print("Problem creating user derived data column: ", name)
# Gracefully skip bad expressions / missing variables
continue
except Exception:
pass # fully silent fail (your call if you want logging)
# =========================
# X DROPDOWN
# =========================
self.x_dropdown.blockSignals(True)
self.x_dropdown.clear()
if "seconds" in self.df.columns:
self.x_dropdown.addItem("seconds")
for col in self.df.columns:
self.x_dropdown.addItem(col)
self.x_dropdown.blockSignals(False)
# build hierarchical tree based on arbitrary '.' or '_' nesting
tree_struct = {}
standalone = []
for col in self.df.columns:
if self.split_mode == '.' and '.' not in col:
standalone.append(col)
continue
elif self.split_mode != '.' and "_" not in col:
standalone.append(col)
continue
if self.split_mode == '.':
parts = col.split('.')
elif self.split_mode == '_1':
parts = col.split('_', 1)
elif self.split_mode == '_2':
parts = col.split('_', 2)
elif self.split_mode == '_3':
parts = col.split('_', 3)
elif self.split_mode == '_4':
parts = col.split('_', 4)
#LOLLLLLLLLLLLLLLLLLLLLLLLLLLL
d = tree_struct
for p in parts:
d = d.setdefault(p, {})
d.setdefault('_leaf', []).append(col)
def add_items(parent, struct, tree_idx):
for key, val in struct.items():
if key == '_leaf':
for leaf_name in val:
item = QtWidgets.QTreeWidgetItem(parent, [leaf_name])
item.setFlags(item.flags() | QtCore.Qt.ItemIsUserCheckable)
if leaf_name in checked_items_per_tree[tree_idx]:
item.setCheckState(0, QtCore.Qt.Checked)
else:
item.setCheckState(0, QtCore.Qt.Unchecked)
else:
if list(val.keys()) == ['_leaf'] and len(val['_leaf']) == 1:
leaf_name = val['_leaf'][0]
item = QtWidgets.QTreeWidgetItem(parent, [leaf_name])
item.setFlags(item.flags() | QtCore.Qt.ItemIsUserCheckable)
if leaf_name in checked_items_per_tree[tree_idx]:
item.setCheckState(0, QtCore.Qt.Checked)
else:
item.setCheckState(0, QtCore.Qt.Unchecked)
else:
node = QtWidgets.QTreeWidgetItem(parent, [key])
node.setFlags(node.flags() | QtCore.Qt.ItemIsTristate | QtCore.Qt.ItemIsUserCheckable)
node.setCheckState(0, QtCore.Qt.Unchecked)
add_items(node, val, tree_idx)
for tree_idx, tree in enumerate(self.trees):
tree.blockSignals(True)
tree.clear()
add_items(tree, tree_struct, tree_idx)
for col in standalone:
item = QtWidgets.QTreeWidgetItem(tree, [col])
item.setFlags(item.flags() | QtCore.Qt.ItemIsUserCheckable)
if col in checked_items_per_tree[tree_idx]:
item.setCheckState(0, QtCore.Qt.Checked)
else:
item.setCheckState(0, QtCore.Qt.Unchecked)
tree.collapseAll()
tree.blockSignals(False)
self.update_x_axis()
# reset X range
if self.x_data is not None and len(self.x_data) > 0:
xmin = np.min(self.x_data)
xmax = np.max(self.x_data)
for plot in self.plots:
plot.setXRange(xmin, xmax, padding=0)
def add_cursor(self, plot, plot_idx):
vb = plot.getViewBox()
vLine = pg.InfiniteLine(angle=90, movable=False)
plot.addItem(vLine, ignoreBounds=True)
self.cursor_label = pg.TextItem(anchor=(0, 1), border=pg.mkPen('k'), fill=pg.mkBrush(20,20,20,220))
self.cursor_label.setZValue(100)
def mouse_moved(evt):
if not getattr(self, "cursor_enabled", True):
return
for pl in self.plots:
pl.removeItem(self.cursor_label)
plot.addItem(self.cursor_label)
pos = evt[0]
if not plot.sceneBoundingRect().contains(pos):
return
mousePoint = vb.mapSceneToView(pos)
x_mouse = mousePoint.x()
if self.x_data is None or len(self.x_data) == 0:
return
idx = np.searchsorted(self.x_data, x_mouse)
idx = np.clip(idx, 0, len(self.x_data) - 1)
self.cursor_idx = idx
x = self.x_data[idx]
# Move vertical line in this plot
vLine.setPos(x)
# Move vertical line in all other plots
for p in getattr(self, "plots", []):
if hasattr(p, "_cursor"):
p._cursor[0].setPos(x)
# ---- BUILD LABEL FOR ALL PLOTS ----
lines = [f"<span style='color:white'><b>x={x:.3f}</b></span>"]
for i, p in enumerate(getattr(self, "plots", [])):
curves = p.listDataItems()
if not curves:
continue
lines.append(f"<span style='color:white'><b>---- Plot {i+1}: ----</b></span>")
for curve in curves:
ydata = curve.yData
name = curve.name()
if ydata is None or idx >= len(ydata):
continue
y = ydata[idx]
pen = curve.opts.get('pen')
if pen is not None:
qcolor = pen.color()
color_str = f"rgb({qcolor.red()}, {qcolor.green()}, {qcolor.blue()})"
else:
color_str = "black"
if name:
lines.append(f"<span style='color:{color_str}'> <b>{name}: {y:.3f}</b></span>")
else:
lines.append(f"<span style='color:{color_str}'> <b>{y:.3f}</b></span>")
# update the floating label
if hasattr(self, "cursor_label"):
self.cursor_label.setHtml("<br>".join(lines))
# anchor (0,1) means top-left corner of text is positioned at setPos
self.cursor_label.setAnchor((0,1))
# get the x/y in data coordinates
x_data = x
y_data = mousePoint.y() # or top of plot: self.plots[0].viewRange()[1][1]
# map data coords to scene coords
scene_pos = vb.mapViewToScene(pg.Point(x_data, y_data))
# add pixel offset
offset_pixels = pg.Point(10, -10) # 10 px right, 10 px up
scene_pos += offset_pixels
# move label
self.cursor_label.setPos(vb.mapSceneToView(scene_pos))
self.cursor_label.setZValue(100)
proxy = pg.SignalProxy(plot.scene().sigMouseMoved, rateLimit=60, slot=mouse_moved)
plot._cursor = (vLine, None, self.cursor_label, proxy)
def toggle_cursor(self):
self.cursor_enabled = self.cursor_toggle.isChecked()
self.cursor_toggle.setText(f"Toggle Cursor {'OFF' if self.cursor_enabled else 'ON'}")
for plot in self.plots:
if hasattr(plot, "_cursor"):
vLine, hLine, label, proxy = plot._cursor
vLine.setVisible(self.cursor_enabled)
# hLine.setVisible(self.cursor_enabled) # if you re-enable it
if hasattr(self, "cursor_label"):
self.cursor_label.setVisible(self.cursor_enabled)
# -----------------------------
# Update X variable
# -----------------------------
def update_x_axis(self):
if self.df is None:
return
x_name = self.x_dropdown.currentText()
self.x_data = self.df[x_name].values
for plot in self.plots:
plot.setLabel("bottom", x_name)
self.update_plots()
# -----------------------------
# Update plots
# -----------------------------
def update_plots(self):
if self.df is None or self.x_data is None:
return
# Any modification clears the loaded plot set
if self.current_plotset_file is not None:
self.current_plotset_file = None
self.setWindowTitle("Flight Log Viewer")
colors = [
(255,0,0),(0,255,0),(50,100,255),(200,200,0),
(200,0,200),(0,200,200),(255,100,0),(100,255,0)
]
for plot_idx, tree in enumerate(self.trees):
plot = self.plots[plot_idx]
plot.clear()
self.add_cursor(plot, plot_idx)
legend = plot.addLegend(labelTextColor='k')
legend.setBrush(pg.mkBrush(255, 255, 255, 200)) # white, alpha=200 (semi-transparent)
color_idx = 0
def process_item(item):
nonlocal color_idx
if item.childCount() == 0:
if item.checkState(0) == QtCore.Qt.Checked:
name = item.text(0)
if name in self.df.columns: # protect against missing columns
col_data = self.df[name]
# Convert TRUE/FALSE to 1/0
if col_data.dtype == object:
y_series = col_data.astype(str).str.upper().map({'TRUE': 1, 'FALSE': 0})
if not y_series.isnull().all():
y = y_series.fillna(0).astype(float).values
else:
y = None
else:
y = col_data.values.astype(float)
pen = pg.mkPen(colors[color_idx % len(colors)], width=2)
plot.plot(self.x_data, y, pen=pen, name=name)
color_idx += 1
for i in range(item.childCount()):
process_item(item.child(i))
for i in range(tree.topLevelItemCount()):
process_item(tree.topLevelItem(i))
self.autoscale_y()
# -----------------------------
# Autoscale Y
# -----------------------------
def autoscale_y(self):
if self.x_data is None:
return
for plot in self.plots:
view = plot.getViewBox()
xmin, xmax = view.viewRange()[0]
mask = (self.x_data >= xmin) & (self.x_data <= xmax)
if not np.any(mask):
continue
ymin = np.inf
ymax = -np.inf
for curve in plot.listDataItems():
y = curve.yData
if y is None: continue
y_visible = y[mask]
if len(y_visible) == 0: continue
ymin = min(ymin, np.min(y_visible))
ymax = max(ymax, np.max(y_visible))
if ymin < ymax:
plot.setYRange(ymin, ymax, padding=0.1)
# -----------------------------
# Clear selection
# -----------------------------
def clear_selection(self, idx):
tree = self.trees[idx]
for i in range(tree.topLevelItemCount()):
item = tree.topLevelItem(i)
item.setCheckState(0, QtCore.Qt.Unchecked)
# -----------------------------
# WASD navigation
# -----------------------------
def eventFilter(self, obj, event):
if event.type() == QtCore.QEvent.KeyPress and self.plots:
view = self.plots[0].getViewBox()
xmin, xmax = view.viewRange()[0]
width = xmax - xmin
shift = width * 0.1
if event.key() == QtCore.Qt.Key_A:
view.setXRange(xmin - shift, xmax - shift, padding=0)
if event.key() == QtCore.Qt.Key_D:
view.setXRange(xmin + shift, xmax + shift, padding=0)
if event.key() == QtCore.Qt.Key_W:
view.setXRange(xmin + shift, xmax - shift, padding=0)
if event.key() == QtCore.Qt.Key_S:
view.setXRange(xmin - shift, xmax + shift, padding=0)
return super().eventFilter(obj, event)
# -----------------------------
# Run app
# -----------------------------
parser = argparse.ArgumentParser(description="PlotDeck")
parser.add_argument(
"-s",
"--split-mode",
choices=[".", "_1", "_2", "_3", "_4"],
default=".",
help="How to split variable names into tree structure for display organization."
)
args = parser.parse_args()
app = QtWidgets.QApplication(sys.argv)
viewer = PlotDeck(split_mode=args.split_mode)
viewer.show()
sys.exit(app.exec_())