mirror of
https://github.com/Athemis/PyDSF.git
synced 2025-04-05 14:46:03 +00:00
Switching to pyqtgraph (WIP)
This commit is contained in:
parent
a0613fb8cc
commit
86b5090b49
8 changed files with 217 additions and 225 deletions
4
.gitmodules
vendored
4
.gitmodules
vendored
|
|
@ -1,3 +1,3 @@
|
|||
[submodule "libs/pyqtgraph"]
|
||||
path = libs/pyqtgraph
|
||||
[submodule "ui/libs/pyqtgraph"]
|
||||
path = ui/libs/pyqtgraph
|
||||
url = https://github.com/pyqtgraph/pyqtgraph-core.git
|
||||
|
|
|
|||
361
pydsf.py
361
pydsf.py
|
|
@ -6,15 +6,11 @@ import csv
|
|||
|
||||
# Import 3rd party packages. Check if installed and die with error message
|
||||
# if not.
|
||||
try:
|
||||
import matplotlib as mpl
|
||||
import mpl_toolkits.axes_grid1
|
||||
|
||||
mpl.use('Qt5Agg')
|
||||
mpl.interactive(True)
|
||||
import matplotlib.ticker as ticker
|
||||
try:
|
||||
import ui.libs.pyqtgraph as pg
|
||||
except ImportError:
|
||||
raise ImportError('----- Matplotlib must be installed. -----')
|
||||
raise ImportError('----- pyqtgraph must be installed. -----')
|
||||
|
||||
try:
|
||||
import peakutils
|
||||
|
|
@ -532,177 +528,194 @@ def update_progress_bar(bar, value):
|
|||
|
||||
class PlotResults():
|
||||
|
||||
def plot_tm_heatmap_single(self, plate, widget):
|
||||
"""
|
||||
Plot Tm heatmap (Fig. 1)
|
||||
"""
|
||||
x = 1 # Position in columns
|
||||
y = 1 # Position in rows
|
||||
x_values = [] # Array holding the columns
|
||||
y_values = [] # Array holding the rows
|
||||
c_values = [] # Array holding the color values aka Tm
|
||||
dx_values = []
|
||||
dy_values = []
|
||||
canvas = widget.canvas
|
||||
canvas.clear()
|
||||
for well in plate.wells: # Iterate over all wells
|
||||
if well not in plate.denatured_wells:
|
||||
# Check if well is denatured (no Tm found)
|
||||
c = well.tm # If not, set color to Tm
|
||||
if c < plate.tm_cutoff_low:
|
||||
# Check if Tm is lower that the cutoff
|
||||
c = plate.tm_cutoff_low
|
||||
# If it is, set color to cutoff
|
||||
elif c > plate.tm_cutoff_high:
|
||||
# Check if Tm is higher that the cutoff
|
||||
c = plate.tm_cutoff_high
|
||||
# If it is, set color to cutoff
|
||||
else: # If the plate is denatured
|
||||
c = plate.tm_cutoff_low
|
||||
# Set its color to the low cutoff
|
||||
dx_values.append(x)
|
||||
dy_values.append(y)
|
||||
x_values.append(x) # Add values to the respective arrays
|
||||
y_values.append(y)
|
||||
c_values.append(c)
|
||||
x += 1 # Increase column by one
|
||||
if x > plate.cols: # If maximum column per row is reached
|
||||
x = 1 # reset column to one
|
||||
y += 1 # and increase row by one
|
||||
|
||||
fig1 = canvas.fig # new figure
|
||||
ax1 = fig1.add_subplot(1, 1, 1) # A single canvas
|
||||
ax1.autoscale(tight=True) # Scale plate size
|
||||
ax1.xaxis.set_major_locator(ticker.MaxNLocator(plate.cols + 1))
|
||||
# n columns
|
||||
ax1.yaxis.set_major_locator(ticker.MaxNLocator(plate.rows + 1))
|
||||
# n rows
|
||||
if plate.color_range:
|
||||
# plot wells and color using the colormap
|
||||
cax = ax1.scatter(x_values, y_values, s=305, c=c_values,
|
||||
marker='s', vmin=plate.color_range[0],
|
||||
vmax=plate.color_range[1])
|
||||
else:
|
||||
# plot wells and color using the colormap
|
||||
cax = ax1.scatter(x_values, y_values, s=305, c=c_values,
|
||||
marker='s')
|
||||
|
||||
ax1.scatter(dx_values, dy_values, s=80, c='white', marker='x',
|
||||
linewidths=(1.5,))
|
||||
ax1.invert_yaxis() # invert y axis to math plate layout
|
||||
cbar = fig1.colorbar(cax) # show colorbar
|
||||
ax1.set_xlabel('Columns') # set axis and colorbar label
|
||||
ax1.set_ylabel('Rows')
|
||||
|
||||
if str(plate.id) == 'average':
|
||||
title = '$T_m$ heatmap (average)'
|
||||
else:
|
||||
title = '$T_m$ heatmap (plate #{})'.format(str(plate.id))
|
||||
ax1.set_title(title)
|
||||
cbar.set_label(u"Temperature [°C]")
|
||||
|
||||
canvas.draw()
|
||||
|
||||
def plot_derivative(self, plate, widget):
|
||||
"""
|
||||
Plot derivatives (Fig. 2)
|
||||
"""
|
||||
canvas = widget.canvas
|
||||
canvas.clear()
|
||||
fig2 = canvas.fig # new figure
|
||||
# set title
|
||||
fig2.suptitle(
|
||||
'Individual Derivatives (plate #{})'.format(str(plate.id)))
|
||||
|
||||
for plot_num in range(1, plate.wellnum + 1): # iterate over all wells
|
||||
well = plate.wells[plot_num - 1]
|
||||
# get single well based on current plot number
|
||||
ax = fig2.add_subplot(plate.rows, plate.cols, plot_num)
|
||||
# add new subplot
|
||||
ax.autoscale(tight=True) # scale to data
|
||||
ax.set_title(well.name, size='xx-small')
|
||||
# set title of current subplot to well identifier
|
||||
|
||||
if well in plate.denatured_wells:
|
||||
ax.patch.set_facecolor('#FFD6D6')
|
||||
# add axis label to the subplot in the bottom left corner of the
|
||||
# figure
|
||||
if plot_num == plate.wellnum - plate.cols + 1:
|
||||
ax.set_xlabel(u'T [°C]', size='xx-small')
|
||||
ax.set_ylabel('dI/dT', size='xx-small')
|
||||
|
||||
# set values for the x axis to the given temperature range
|
||||
x = plate.temprange
|
||||
if well.baseline_correction:
|
||||
print(well.baseline)
|
||||
y = well.derivatives[1] - well.baseline
|
||||
else:
|
||||
# grab y values from the first derivative of the well
|
||||
y = well.derivatives[1]
|
||||
|
||||
# only show three tickmarks on both axes
|
||||
ax.xaxis.set_major_locator(ticker.MaxNLocator(4))
|
||||
ax.yaxis.set_major_locator(ticker.MaxNLocator(4))
|
||||
# check if well is denatured (without determined Tm)
|
||||
if well not in plate.denatured_wells:
|
||||
tm = well.tm # if not, grab its Tm
|
||||
else:
|
||||
tm = np.NaN # else set Tm to np.NaN
|
||||
if tm:
|
||||
ax.axvline(x=tm) # plot vertical line at the Tm
|
||||
ax.axvspan(plate.t1, plate.tm_cutoff_low, facecolor='0.8',
|
||||
alpha=0.5) # shade lower cutoff area
|
||||
ax.axvspan(plate.tm_cutoff_high, plate.t2, facecolor='0.8',
|
||||
alpha=0.5) # shade higher cutoff area
|
||||
# set fontsize for all tick labels to xx-small
|
||||
for label in ax.get_xticklabels() + ax.get_yticklabels():
|
||||
label.set_fontsize('xx-small')
|
||||
|
||||
ax.plot(x, y) # plot data to the current subplot
|
||||
canvas.draw()
|
||||
|
||||
def plot_raw(self, plate, widget):
|
||||
"""
|
||||
Plot raw data (Fig. 3)
|
||||
"""
|
||||
canvas = widget.canvas
|
||||
canvas.clear()
|
||||
|
||||
im = np.arange(100)
|
||||
im.shape = 10, 10
|
||||
|
||||
fig = canvas.fig
|
||||
fig.suptitle('Raw Data (plate #{})'.format(str(plate.id)))
|
||||
|
||||
grid = mpl_toolkits.axes_grid1.Grid(fig, 111,
|
||||
nrows_ncols=(plate.rows,
|
||||
plate.cols),
|
||||
axes_pad=(0.1, 0.25),
|
||||
add_all=True,
|
||||
share_x=True,
|
||||
share_y=True,
|
||||
share_all=True)
|
||||
n = 0
|
||||
for i in range(plate.wellnum):
|
||||
well = plate.wells[i]
|
||||
# set values for the x axis to the given temperature range
|
||||
x = plate.temprange
|
||||
# grab y values from the raw data of the well
|
||||
y = well.raw
|
||||
ax = grid[i]
|
||||
# set title of current subplot to well identifier
|
||||
ax.set_title(well.name, size=6)
|
||||
if well in plate.denatured_wells:
|
||||
ax.patch.set_facecolor('#FFD6D6')
|
||||
# only show three tickmarks on both axes
|
||||
ax.xaxis.set_major_locator(ticker.MaxNLocator(4))
|
||||
ax.yaxis.set_major_locator(ticker.MaxNLocator(4))
|
||||
ax.axvspan(plate.t1, plate.tm_cutoff_low, facecolor='0.8',
|
||||
alpha=0.5) # shade lower cutoff area
|
||||
ax.axvspan(plate.tm_cutoff_high, plate.t2, facecolor='0.8',
|
||||
alpha=0.5) # shade higher cutoff area
|
||||
# set fontsize for all tick labels to xx-small
|
||||
for label in ax.get_xticklabels() + ax.get_yticklabels():
|
||||
label.set_fontsize(6)
|
||||
ax.plot(x, y)
|
||||
fig.tight_layout()
|
||||
canvas.draw()
|
||||
print(well.name)
|
||||
if n == plate.cols:
|
||||
print("next row")
|
||||
widget.nextRow()
|
||||
n = 0
|
||||
n += 1
|
||||
p1 = widget.addPlot(title=well.name, x=x, y=well.raw)
|
||||
|
||||
|
||||
# def plot_tm_heatmap_single(self, plate, widget):
|
||||
# """
|
||||
# Plot Tm heatmap (Fig. 1)
|
||||
# """
|
||||
# x = 1 # Position in columns
|
||||
# y = 1 # Position in rows
|
||||
# x_values = [] # Array holding the columns
|
||||
# y_values = [] # Array holding the rows
|
||||
# c_values = [] # Array holding the color values aka Tm
|
||||
# dx_values = []
|
||||
# dy_values = []
|
||||
# canvas = widget.canvas
|
||||
# canvas.clear()
|
||||
# for well in plate.wells: # Iterate over all wells
|
||||
# if well not in plate.denatured_wells:
|
||||
# # Check if well is denatured (no Tm found)
|
||||
# c = well.tm # If not, set color to Tm
|
||||
# if c < plate.tm_cutoff_low:
|
||||
# # Check if Tm is lower that the cutoff
|
||||
# c = plate.tm_cutoff_low
|
||||
# # If it is, set color to cutoff
|
||||
# elif c > plate.tm_cutoff_high:
|
||||
# # Check if Tm is higher that the cutoff
|
||||
# c = plate.tm_cutoff_high
|
||||
# # If it is, set color to cutoff
|
||||
# else: # If the plate is denatured
|
||||
# c = plate.tm_cutoff_low
|
||||
# # Set its color to the low cutoff
|
||||
# dx_values.append(x)
|
||||
# dy_values.append(y)
|
||||
# x_values.append(x) # Add values to the respective arrays
|
||||
# y_values.append(y)
|
||||
# c_values.append(c)
|
||||
# x += 1 # Increase column by one
|
||||
# if x > plate.cols: # If maximum column per row is reached
|
||||
# x = 1 # reset column to one
|
||||
# y += 1 # and increase row by one
|
||||
#
|
||||
# fig1 = canvas.fig # new figure
|
||||
# ax1 = fig1.add_subplot(1, 1, 1) # A single canvas
|
||||
# ax1.autoscale(tight=True) # Scale plate size
|
||||
# ax1.xaxis.set_major_locator(ticker.MaxNLocator(plate.cols + 1))
|
||||
# # n columns
|
||||
# ax1.yaxis.set_major_locator(ticker.MaxNLocator(plate.rows + 1))
|
||||
# # n rows
|
||||
# if plate.color_range:
|
||||
# # plot wells and color using the colormap
|
||||
# cax = ax1.scatter(x_values, y_values, s=305, c=c_values,
|
||||
# marker='s', vmin=plate.color_range[0],
|
||||
# vmax=plate.color_range[1])
|
||||
# else:
|
||||
# # plot wells and color using the colormap
|
||||
# cax = ax1.scatter(x_values, y_values, s=305, c=c_values,
|
||||
# marker='s')
|
||||
#
|
||||
# ax1.scatter(dx_values, dy_values, s=80, c='white', marker='x',
|
||||
# linewidths=(1.5,))
|
||||
# ax1.invert_yaxis() # invert y axis to math plate layout
|
||||
# cbar = fig1.colorbar(cax) # show colorbar
|
||||
# ax1.set_xlabel('Columns') # set axis and colorbar label
|
||||
# ax1.set_ylabel('Rows')
|
||||
#
|
||||
# if str(plate.id) == 'average':
|
||||
# title = '$T_m$ heatmap (average)'
|
||||
# else:
|
||||
# title = '$T_m$ heatmap (plate #{})'.format(str(plate.id))
|
||||
# ax1.set_title(title)
|
||||
# cbar.set_label(u"Temperature [°C]")
|
||||
#
|
||||
# canvas.draw()
|
||||
#
|
||||
# def plot_derivative(self, plate, widget):
|
||||
# """
|
||||
# Plot derivatives (Fig. 2)
|
||||
# """
|
||||
# canvas = widget.canvas
|
||||
# canvas.clear()
|
||||
# fig2 = canvas.fig # new figure
|
||||
# # set title
|
||||
# fig2.suptitle(
|
||||
# 'Individual Derivatives (plate #{})'.format(str(plate.id)))
|
||||
#
|
||||
# for plot_num in range(1, plate.wellnum + 1): # iterate over all wells
|
||||
# well = plate.wells[plot_num - 1]
|
||||
# # get single well based on current plot number
|
||||
# ax = fig2.add_subplot(plate.rows, plate.cols, plot_num)
|
||||
# # add new subplot
|
||||
# ax.autoscale(tight=True) # scale to data
|
||||
# ax.set_title(well.name, size='xx-small')
|
||||
# # set title of current subplot to well identifier
|
||||
#
|
||||
# if well in plate.denatured_wells:
|
||||
# ax.patch.set_facecolor('#FFD6D6')
|
||||
# # add axis label to the subplot in the bottom left corner of the
|
||||
# # figure
|
||||
# if plot_num == plate.wellnum - plate.cols + 1:
|
||||
# ax.set_xlabel(u'T [°C]', size='xx-small')
|
||||
# ax.set_ylabel('dI/dT', size='xx-small')
|
||||
#
|
||||
# # set values for the x axis to the given temperature range
|
||||
# x = plate.temprange
|
||||
# if well.baseline_correction:
|
||||
# print(well.baseline)
|
||||
# y = well.derivatives[1] - well.baseline
|
||||
# else:
|
||||
# # grab y values from the first derivative of the well
|
||||
# y = well.derivatives[1]
|
||||
#
|
||||
# # only show three tickmarks on both axes
|
||||
# ax.xaxis.set_major_locator(ticker.MaxNLocator(4))
|
||||
# ax.yaxis.set_major_locator(ticker.MaxNLocator(4))
|
||||
# # check if well is denatured (without determined Tm)
|
||||
# if well not in plate.denatured_wells:
|
||||
# tm = well.tm # if not, grab its Tm
|
||||
# else:
|
||||
# tm = np.NaN # else set Tm to np.NaN
|
||||
# if tm:
|
||||
# ax.axvline(x=tm) # plot vertical line at the Tm
|
||||
# ax.axvspan(plate.t1, plate.tm_cutoff_low, facecolor='0.8',
|
||||
# alpha=0.5) # shade lower cutoff area
|
||||
# ax.axvspan(plate.tm_cutoff_high, plate.t2, facecolor='0.8',
|
||||
# alpha=0.5) # shade higher cutoff area
|
||||
# # set fontsize for all tick labels to xx-small
|
||||
# for label in ax.get_xticklabels() + ax.get_yticklabels():
|
||||
# label.set_fontsize('xx-small')
|
||||
#
|
||||
# ax.plot(x, y) # plot data to the current subplot
|
||||
# canvas.draw()
|
||||
#
|
||||
# def plot_raw(self, plate, widget):
|
||||
# """
|
||||
# Plot raw data (Fig. 3)
|
||||
# """
|
||||
# canvas = widget.canvas
|
||||
# canvas.clear()
|
||||
#
|
||||
# im = np.arange(100)
|
||||
# im.shape = 10, 10
|
||||
#
|
||||
# fig = canvas.fig
|
||||
# fig.suptitle('Raw Data (plate #{})'.format(str(plate.id)))
|
||||
#
|
||||
# grid = mpl_toolkits.axes_grid1.Grid(fig, 111,
|
||||
# nrows_ncols=(plate.rows,
|
||||
# plate.cols),
|
||||
# axes_pad=(0.1, 0.25),
|
||||
# add_all=True,
|
||||
# share_x=True,
|
||||
# share_y=True,
|
||||
# share_all=True)
|
||||
# for i in range(plate.wellnum):
|
||||
# well = plate.wells[i]
|
||||
# # set values for the x axis to the given temperature range
|
||||
# x = plate.temprange
|
||||
# # grab y values from the raw data of the well
|
||||
# y = well.raw
|
||||
# ax = grid[i]
|
||||
# # set title of current subplot to well identifier
|
||||
# ax.set_title(well.name, size=6)
|
||||
# if well in plate.denatured_wells:
|
||||
# ax.patch.set_facecolor('#FFD6D6')
|
||||
# # only show three tickmarks on both axes
|
||||
# ax.xaxis.set_major_locator(ticker.MaxNLocator(4))
|
||||
# ax.yaxis.set_major_locator(ticker.MaxNLocator(4))
|
||||
# ax.axvspan(plate.t1, plate.tm_cutoff_low, facecolor='0.8',
|
||||
# alpha=0.5) # shade lower cutoff area
|
||||
# ax.axvspan(plate.tm_cutoff_high, plate.t2, facecolor='0.8',
|
||||
# alpha=0.5) # shade higher cutoff area
|
||||
# # set fontsize for all tick labels to xx-small
|
||||
# for label in ax.get_xticklabels() + ax.get_yticklabels():
|
||||
# label.set_fontsize(6)
|
||||
# ax.plot(x, y)
|
||||
# fig.tight_layout()
|
||||
# canvas.draw()
|
||||
|
|
|
|||
|
|
@ -300,5 +300,3 @@ class Ui_MainWindow(object):
|
|||
self.actionQuit.setText(_translate("MainWindow", "&Quit"))
|
||||
self.actionAbout.setText(_translate("MainWindow", "&About"))
|
||||
self.actionAbout_Qt.setText(_translate("MainWindow", "About &Qt"))
|
||||
|
||||
from .mplwidget import MplWidget
|
||||
|
|
|
|||
0
ui/libs/__init__.py
Normal file
0
ui/libs/__init__.py
Normal file
|
|
@ -13,12 +13,15 @@ from PyQt5.QtWidgets import (QMainWindow,
|
|||
QDialogButtonBox,
|
||||
QFileDialog,
|
||||
QMessageBox,
|
||||
QApplication)
|
||||
QApplication,
|
||||
QScrollArea)
|
||||
|
||||
from .Ui_mainwindow import Ui_MainWindow
|
||||
from .mplwidget import MplWidget
|
||||
import ui.libs.pyqtgraph as pg
|
||||
from pydsf import Experiment, PlotResults
|
||||
|
||||
pg.setConfigOptions(antialias=True)
|
||||
|
||||
VERSION = "1.0"
|
||||
|
||||
|
||||
|
|
@ -152,29 +155,34 @@ class MainWindow(QMainWindow, Ui_MainWindow):
|
|||
# self.groupBox_signal_threshold.setEnabled(True)
|
||||
|
||||
def generate_plot_tab(self, name):
|
||||
tab = MplWidget()
|
||||
tab = QScrollArea()
|
||||
tab.setObjectName(name)
|
||||
tab.setWidgetResizable(True)
|
||||
return tab
|
||||
|
||||
def generate_plate_tabs(self, plate):
|
||||
# TODO: not implemented yet
|
||||
# raise NotImplementedError
|
||||
plotter = PlotResults()
|
||||
|
||||
if id != 'average':
|
||||
tab = self.generate_plot_tab("tab_heatmap_{}".format(id))
|
||||
self.tabWidget.addTab(tab, "Heatmap #{}".format(plate.id))
|
||||
plotter.plot_tm_heatmap_single(plate, tab)
|
||||
# tab = self.generate_plot_tab("tab_heatmap_{}".format(id))
|
||||
# self.tabWidget.addTab(tab, "Heatmap #{}".format(plate.id))
|
||||
# plotter.plot_tm_heatmap_single(plate, tab)
|
||||
|
||||
tab = self.generate_plot_tab("tab_raw_{}".format(id))
|
||||
plt = pg.GraphicsLayoutWidget()
|
||||
tab.setWidget(plt)
|
||||
self.tabWidget.addTab(tab, "Raw Data #{}".format(plate.id))
|
||||
plotter.plot_raw(plate, tab)
|
||||
plotter.plot_raw(plate, plt)
|
||||
|
||||
tab = self.generate_plot_tab("tab_derivative_{}".format(id))
|
||||
self.tabWidget.addTab(tab, "Derivatives #{}".format(plate.id))
|
||||
plotter.plot_derivative(plate, tab)
|
||||
else:
|
||||
tab = self.generate_plot_tab("tab_heatmap_{}".format(id))
|
||||
self.tabWidget.addTab(tab, "Heatmap ({})".format(plate.id))
|
||||
plotter.plot_tm_heatmap_single(plate, tab)
|
||||
# tab = self.generate_plot_tab("tab_derivative_{}".format(id))
|
||||
# self.tabWidget.addTab(tab, "Derivatives #{}".format(plate.id))
|
||||
# plotter.plot_derivative(plate, tab)
|
||||
#else:
|
||||
# tab = self.generate_plot_tab("tab_heatmap_{}".format(id))
|
||||
# self.tabWidget.addTab(tab, "Heatmap ({})".format(plate.id))
|
||||
# plotter.plot_tm_heatmap_single(plate, tab)
|
||||
|
||||
@pyqtSlot()
|
||||
def on_buttonBox_process_accepted(self):
|
||||
|
|
|
|||
|
|
@ -478,22 +478,22 @@
|
|||
<property name="currentIndex">
|
||||
<number>0</number>
|
||||
</property>
|
||||
<widget class="MplWidget" name="tab_raw">
|
||||
<widget class="GraphicsLayoutWidget" name="tab_raw">
|
||||
<attribute name="title">
|
||||
<string>Raw Data</string>
|
||||
</attribute>
|
||||
</widget>
|
||||
<widget class="MplWidget" name="tab_derivative">
|
||||
<widget class="GraphicsLayoutWidget" name="tab_derivative">
|
||||
<attribute name="title">
|
||||
<string>&2nd derivative</string>
|
||||
</attribute>
|
||||
</widget>
|
||||
<widget class="MplWidget" name="tab_heatmap">
|
||||
<widget class="GraphicsLayoutWidget" name="tab_heatmap">
|
||||
<attribute name="title">
|
||||
<string>Heatmap</string>
|
||||
</attribute>
|
||||
</widget>
|
||||
<widget class="MplWidget" name="tab_heatmap_avg">
|
||||
<widget class="GraphicsLayoutWidget" name="tab_heatmap_avg">
|
||||
<property name="enabled">
|
||||
<bool>false</bool>
|
||||
</property>
|
||||
|
|
@ -563,9 +563,9 @@
|
|||
</widget>
|
||||
<customwidgets>
|
||||
<customwidget>
|
||||
<class>MplWidget</class>
|
||||
<class>GraphicsLayoutWidget</class>
|
||||
<extends>QWidget</extends>
|
||||
<header>mplwidget</header>
|
||||
<header>GraphicsLayoutWidget</header>
|
||||
<container>1</container>
|
||||
</customwidget>
|
||||
</customwidgets>
|
||||
|
|
|
|||
|
|
@ -1,27 +0,0 @@
|
|||
from PyQt5 import QtWidgets, QtGui, QtCore
|
||||
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
|
||||
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
|
||||
from matplotlib.figure import Figure
|
||||
|
||||
class MplCanvas(FigureCanvas):
|
||||
def __init__(self):
|
||||
self.fig = Figure()
|
||||
self.ax = self.fig.add_subplot(111)
|
||||
FigureCanvas.__init__(self, self.fig)
|
||||
FigureCanvas.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
|
||||
FigureCanvas.updateGeometry(self)
|
||||
self.setFocusPolicy(QtCore.Qt.StrongFocus)
|
||||
|
||||
def clear(self):
|
||||
self.ax.clear()
|
||||
self.fig.clear()
|
||||
|
||||
class MplWidget(QtWidgets.QWidget):
|
||||
def __init__(self, parent = None):
|
||||
QtWidgets.QWidget.__init__(self, parent)
|
||||
self.canvas = MplCanvas()
|
||||
self.ntb = NavigationToolbar(self.canvas, self)
|
||||
self.vbl = QtWidgets.QVBoxLayout()
|
||||
self.vbl.addWidget(self.canvas)
|
||||
self.vbl.addWidget(self.ntb)
|
||||
self.setLayout(self.vbl)
|
||||
Loading…
Add table
Reference in a new issue