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plotwindow.py
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plotwindow.py
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import numpy as np
import datetime
from pathlib import Path
import pandas as pd
from PyQt5.QtCore import QTimer
from PyQt5.QtWidgets import QMainWindow
from ui_plotwindow import Ui_PlotWindow
class PlotWindow(Ui_PlotWindow, QMainWindow):
def __init__(self, loader, ylabel='Signal Level', units_label='(a.u.)', save_path=None, conv_func=(lambda x: x),
plot_mode='singleplot', yscale='linear', save_freq=int(10e3),
twinx_on=False, twinx_func=(lambda x: x), twinx_label='Signal Level'):
super(PlotWindow, self).__init__()
self.setupUi(self)
self.loader = loader
self.ylabel = ylabel
self.units_label = units_label
self.save_path = save_path
if self.save_path is None:
self.save_path = self.loader.log_drive
self.conv_func = conv_func
self.plot_mode = plot_mode
self.yscale = yscale
self.save_freq = save_freq
self.twinx_on = twinx_on
self.twinx_func = twinx_func
self.twinx_label = twinx_label
self.canvas = self.plotwidget.canvas
self.figure = self.canvas.figure
self.axes = None
self.twin_axes = None
self.data_fields = self.loader.get_header()[2:]
self.n_data_fields = len(self.data_fields)
if self.n_data_fields == 1:
self.multi_plot_radioButton.setEnabled(False)
self.data = pd.DataFrame()
if self.yscale == 'linear':
self.lin_radioButton.setChecked(True)
elif self.yscale == 'log':
self.log_radioButton.setChecked(True)
if self.plot_mode == 'singleplot':
self.single_plot_radioButton.setChecked(True)
elif self.plot_mode == 'multiplot':
self.multi_plot_radioButton.setChecked(True)
self.autoscale = None
self.outlier_reject = None
self.ymin = None
self.ymax = None
self.refresh_time = 30
self.stop_datetime = None
self.start_datetime = None
self.history_days = None
self.history_hours = None
self.history_minutes = None
self.history_delta = None
self.outlier_reject_level = 2
self.paused = False
self.tracking = True
self.pause_pushButton.clicked.connect(self.pause_resume_clicked)
self.settings_pushButton.clicked.connect(self.update_settings)
self.refresh_timer = QTimer(self)
self.refresh_timer.timeout.connect(self.plot)
self.update_pushButton.clicked.connect(self.plot)
self.save_timer = QTimer(self)
self.save_timer.timeout.connect(self.save_plot)
self.configure_axes()
self.update_settings()
self.setWindowTitle(f'{self.loader.file_prefix} Plotter')
self.show()
self.refresh_timer.start(self.refresh_time)
self.save_timer.start(self.save_freq)
def configure_axes(self):
self.figure.clear()
self.axes = []
self.twin_axes = []
if self.plot_mode == 'singleplot':
self.configure_singleplot_axes()
elif self.plot_mode == 'multiplot':
self.configure_multiplot_axes()
def configure_singleplot_axes(self):
ax = self.figure.add_subplot(1, 1, 1)
self.axes = [ax]
if self.twinx_on:
twin_ax = ax.twinx()
self.twin_axes = [twin_ax]
def configure_multiplot_axes(self):
ax = self.figure.add_subplot(self.n_data_fields, 1, 1)
self.axes = [ax]
if self.twinx_on:
twin_ax = ax.twinx()
self.twin_axes.append(twin_ax)
for n in range(2, self.n_data_fields + 1):
ax = self.figure.add_subplot(self.n_data_fields, 1, n, sharex=self.axes[0])
self.axes.append(ax)
if self.twinx_on:
twin_ax = ax.twinx()
self.twin_axes.append(twin_ax)
def plot(self):
self.load()
try:
if self.plot_mode == 'singleplot':
self.single_plot()
elif self.plot_mode == 'multiplot':
self.multi_plot()
except KeyError:
print('Error plotting, there may be no data to load.')
self.figure.set_tight_layout(True)
self.canvas.draw()
def single_plot(self):
plot_data = self.data[self.data_fields]
plot_data = self.clip_data(plot_data)
plot_data = plot_data.apply(self.conv_func)
ax = self.axes[0]
ax.clear()
try:
plot_data.plot(ax=ax, style='.')
except TypeError:
print('No Data to plot')
self.axis_scalings()
ax.set_ylabel(f'{self.ylabel} {self.units_label}')
ax.set_xlabel('Time')
ax.legend(loc='lower left')
def multi_plot(self):
for n, field in enumerate(self.data_fields):
plot_data = self.data[field]
plot_data = self.clip_data(plot_data)
plot_data = plot_data.apply(self.conv_func)
ax = self.axes[n]
ax.clear()
try:
plot_data.plot(ax=ax, style='.')
except TypeError:
print('No Data to plot')
self.axis_scalings()
ax.set_ylabel(f'{field} {self.units_label}')
ax.set_xlabel('Time')
def clip_data(self, data):
time_mask = np.logical_and(self.start_datetime < data.index,
data.index < self.stop_datetime)
clipped_data = data[time_mask]
if self.outlier_reject:
clipped_data_std = np.std(clipped_data)
clipped_data_mean = np.mean(clipped_data)
clipped_zscore = (clipped_data - clipped_data_mean) / clipped_data_std
clipped_data = clipped_data[np.abs(clipped_zscore) < self.outlier_reject_level]
return clipped_data
def load(self):
if self.tracking:
self.stop_datetime = datetime.datetime.now()
self.start_datetime = self.stop_datetime - self.history_delta
self.data = self.loader.refresh_data(self.start_datetime)
else:
self.data = self.loader.grab_dates(self.start_datetime.date(), self.stop_datetime.date())
def axis_scalings(self):
for idx, ax in enumerate(self.axes):
if not self.autoscale:
ax.set_ylim(self.ymin, self.ymax)
ax.set_yscale(self.yscale)
ax.set_xlim(self.start_datetime, self.stop_datetime)
if self.twinx_on:
twin_ax = self.twin_axes[idx]
ymin, ymax = ax.get_ylim()
twin_ax.set_ylim(self.twinx_func(ymin), self.twinx_func(ymax))
twin_ax.set_ylabel(self.twinx_label)
def update_settings(self):
"""
Main configuration method for plot functionality. Runs at initialization of Plotter and whenever
Update Settings pushButton is clicked. Configures the plot region itself as well as whether the plotting
is in the history or tracking mode or static range mode. Plotting is paused during updating settings
if not in tracking mode. At the end of the settings update a signal is emitted to update the plot as well
to reflect the changes made to the settings.
"""
self.pause()
self.update_yaxis_settings()
self.update_refresh_settings()
if self.xscale_tabWidget.currentIndex() == 0:
self.set_xrange_history_mode()
elif self.xscale_tabWidget.currentIndex() == 1:
self.set_xrange_range_mode()
if self.single_plot_radioButton.isChecked():
self.plot_mode = 'singleplot'
elif self.multi_plot_radioButton.isChecked():
self.plot_mode = 'multiplot'
self.configure_axes()
self.plot()
self.resume()
def update_yaxis_settings(self):
self.outlier_reject = self.outlier_checkBox.isChecked()
try:
self.outlier_reject_level = round(abs(float(self.outlier_reject_level_lineEdit.text())), 2)
except ValueError:
print('invalid input for outlier reject level, input must be real number')
self.outlier_reject_level_lineEdit.setText(f'{self.outlier_reject_level:.2f}')
self.autoscale = self.autoscale_checkBox.isChecked()
try:
self.ymin = float(self.ymin_lineEdit.text())
self.ymax = float(self.ymax_lineEdit.text())
except ValueError:
print('invalid input for y limits, input must be real number')
self.ymin_lineEdit.setText(f'{self.ymin:.2f}')
self.ymax_lineEdit.setText(f'{self.ymax:.2f}')
if self.lin_radioButton.isChecked():
self.yscale = 'linear'
elif self.log_radioButton.isChecked():
self.yscale = 'log'
def update_refresh_settings(self):
try:
self.refresh_time = int(float(self.refresh_lineEdit.text())*1e3)
if not self.paused:
self.refresh_timer.stop()
self.refresh_timer.start(self.refresh_time)
except ValueError:
print('invalid input for refresh time, input must be real number')
self.refresh_lineEdit.setText(f'{self.refresh_time*1e-3:.1f}')
def set_xrange_history_mode(self):
history_stopdate_text = self.history_stopdate_lineEdit.text()
if history_stopdate_text.lower() == 'now':
self.stop_datetime = datetime.datetime.now()
self.turn_on_tracking()
else:
try:
self.stop_datetime = datetime.datetime.strptime(history_stopdate_text, '%y/%m/%d %H:%M:%S')
self.turn_off_tracking()
except ValueError:
print('invalid input for stop date, input must be formatted as YY/MM/DD HH:MM:SS')
try:
self.history_days = int(self.days_lineEdit.text())
self.history_hours = int(self.hours_lineEdit.text())
self.history_minutes = int(self.minutes_lineEdit.text())
except ValueError:
print('invalid input for plot history, all inputs must be integers')
self.days_lineEdit.setText(f'{self.history_days}')
self.hours_lineEdit.setText(f'{self.history_hours}')
self.minutes_lineEdit.setText(f'{self.history_minutes}')
self.history_delta = datetime.timedelta(days=self.history_days,
hours=self.history_hours,
minutes=self.history_minutes)
self.start_datetime = self.stop_datetime - self.history_delta
def set_xrange_range_mode(self):
self.turn_off_tracking()
startdate_text = self.range_startdate_lineEdit.text()
stopdate_text = self.range_stopdate_lineEdit.text()
try:
self.start_datetime = datetime.datetime.strptime(startdate_text, '%y/%m/%d %H:%M:%S')
if stopdate_text.lower() != 'now':
self.stop_datetime = datetime.datetime.strptime(stopdate_text, '%y/%m/%d %H:%M:%S')
except ValueError:
print('invalid input for start or stop date, input must be formatted as YY/MM/DD HH:MM:SS')
def turn_on_tracking(self):
if not self.tracking:
self.resume()
self.pause_pushButton.setEnabled(True)
self.tracking = True
def turn_off_tracking(self):
if self.tracking:
self.pause()
self.pause_pushButton.setEnabled(False)
self.pause_pushButton.setText('Tracking Disabled')
self.tracking = False
def pause_resume_clicked(self):
if not self.paused:
self.pause()
else:
self.resume()
def pause(self):
if self.tracking:
self.refresh_timer.stop()
self.save_timer.stop()
self.pause_pushButton.setText('Resume')
self.paused = True
def resume(self):
if self.tracking:
self.refresh_timer.start(self.refresh_time)
self.save_timer.start()
self.pause_pushButton.setText('Pause')
self.paused = False
def save_plot(self):
save_file = Path(self.save_path, f'{self.loader.file_prefix}.png')
try:
self.figure.savefig(save_file)
except OSError:
print(f'Warning, OSError while attempting to save figure to {save_file}')