Following is the codes. It plots a line via pressing a button. However, when I pressed the button, it just printed
matplotlib.lines.Line2D object at 0x11371fcc0 ......
but could not show the line on the canvas. How do you fix it?
import matplotlib
matplotlib.use("Qt5Agg")
from PyQt5 import QtCore
from PyQt5.QtWidgets import *
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
import mywidgets
# mywidgets.MplCanvas is a wrapper of FigureCanvas in order to make the drawing convenient.
class ApplicationWindow(QMainWindow):
def __init__(self):
QMainWindow.__init__(self)
self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
self.setWindowTitle("Hello")
self.main_widget = QWidget(self)
l = QVBoxLayout(self.main_widget)
fig1 = Figure(figsize=(5, 4))
self.sc = mywidgets.MplCanvas(self.main_widget, fig1)
l.addWidget(self.sc)
bdraw = QPushButton('Draw')
bdraw.pressed.connect(self.draw)
l.addWidget(bdraw)
self.main_widget.setFocus()
self.setCentralWidget(self.main_widget)
def draw(self):
# it does not report any error, but on lines are drawn.
line = self.sc.axes.plot([1,2,3], 'r')
print(line)
if __name__ == '__main__':
app = QApplication([])
aw = ApplicationWindow()
aw.show()
#sys.exit(qApp.exec_())
app.exec_()
You forgot to update the canvas after plotting to it.
def draw(self):
line = self.sc.axes.plot([1,2,3], 'r')
self.sc.draw_idle()
Related
I am using Matplotlib library to implement Figures in a PyQt5 windows. When I run the code, I get the following warning errors:
Warning (from warnings module):
File "C:\Users\yagom\OneDrive\Escritorio\SUSKIND\Código fuente\wsS1.py", line 6
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
MatplotlibDeprecationWarning:
The matplotlib.backends.backend_qt4agg backend was deprecated in Matplotlib 3.3 and will be removed two minor releases later.
Warning (from warnings module):
File "C:\Users\yagom\OneDrive\Escritorio\SUSKIND\Código fuente\wsS1.py", line 106
ax.set_yticklabels(ax.get_yticks(), {'family':'Cambria','size':'9','color':'black'}) #
MatplotlibDeprecationWarning: Passing the fontdict parameter of _set_ticklabels() positionally is deprecated since Matplotlib 3.3; the parameter will become keyword-only two minor releases later.
Warning (from warnings module):
File "C:\Users\yagom\OneDrive\Escritorio\SUSKIND\Código fuente\wsS1.py", line 75
ax.set_xticklabels(ax.get_xticks(), {'family':'Cambria','size':'9','color':'white'})
UserWarning: FixedFormatter should only be used together with FixedLocator
Here is a little reproducible exemple where the warnings also occur.
import sys, time, random
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib import ticker
class wS1(QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle('Interfaz')
self.setFixedSize(1440,880)
self.initUI()
def initUI(self):
def set_GraphWidget_1 (ys=[0,1,0,2,26,22,14,12,4,2],remark=3):
self.figure = Figure(figsize=(3,1.8))
self.Graph_1 = FigureCanvas(self.figure)
ax = self.figure.add_subplot(111)
self.figure.tight_layout()
ax.clear()
ax.grid(True,axis='both',linestyle=':')
ax.set_yticklabels(ax.get_yticks(), {'family':'Cambria','size':'9','color':'black'})
ax.set_xticklabels(ax.get_xticks(), {'family':'Cambria','size':'9','color':'white'})
ax.tick_params(which='major', width=0.75, length=5, color='grey')
ax.tick_params(which='minor', width=0.5, length=2.5, color='grey')
for spine in ax.spines.values():
spine.set_edgecolor('grey')
ax.set_facecolor('#f4f2f1')
ax.yaxis.set_major_locator(ticker.MultipleLocator(10))
ax.yaxis.set_minor_locator(ticker.MultipleLocator(5))
ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
ax.yaxis.set_major_formatter('{x} %')
ax.plot(ys,linewidth=1,markersize=3,marker='o',color='#e66f00',zorder=0)
if remark != None:
ax.scatter(remark,ys[remark],s=35,linewidth=0.5,edgecolors='black',color='#e66f00',zorder=1)
def set_GraphWidget_2 (ys=[120,66,19,19,14,9,9,5,0,6]):
self.figure = Figure(figsize=(3,2.5))
self.Graph_2 = FigureCanvas(self.figure)
ax = self.figure.add_subplot(111)
self.figure.tight_layout()
ax.clear()
ax.grid(True,axis='both',linestyle=':')
ax.set_yticklabels(ax.get_yticks(), {'family':'Cambria','size':'9','color':'black'}) #
ax.tick_params(which='major', width=0.75, length=5, color='grey')
ax.tick_params(which='minor', width=0.5, length=2.5, color='grey')
for spine in ax.spines.values():
spine.set_edgecolor('grey')
ax.set_facecolor('#f4f2f1')
ax.yaxis.set_major_locator(ticker.MultipleLocator(20))
ax.yaxis.set_minor_locator(ticker.MultipleLocator(5))
ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
ax.yaxis.set_major_formatter('{x}')
ax.xaxis.tick_top()
width = 0.08
opacity = 0.85
xs = range(1,len(ys)+1)
ax.bar(xs,ys,width,color='#e66f00')
set_GraphWidget_1()
set_GraphWidget_2()
self.Lay = QVBoxLayout()
self.Lay.addWidget(self.Graph_1)
self.Lay.addWidget(self.Graph_2)
self.setLayout(self.Lay)
app = QApplication(sys.argv)
window = wS1()
window.show()
sys.exit(app.exec_())
if __name__ == '__main__':
main()
I have tried several changes but none of them seems to work. Could someone please explain me what should I change from the code? I would be very grateful.
About the tick warning. you should split the set ticks functions to 2, one for values, and one for labels. For example:
ax.set_yticks([0,50,80])
ax.set_yticklabels(['start', 'mid', 'end])
Transform dictionary values to keyword arguments
# From
ax.set_yticklabels(ax.get_yticks(), {'family': 'Cambria', 'size': '9'})
# To
ax.set_yticklabels(ax.get_yticks(), family='Cambria', size=9)
I want to plot a figure by pyqt5 as below codes, and I want to see all the data in one figure and zoom in to see some detals; I hope when Ｉzoom in a part of this figure, x axes and y axes fit the detail auto together;
import sys
from PyQt5 import QtWidgets
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5 import NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt
import matplotlib.finance as mpf
class Window(QtWidgets.QDialog):
def __init__(self,Data,parent=None):
super().__init__(parent)
self.candleData=Data[0]
self.plots=len(Data)
if self.plots>1:
self.lineData=Data[1]
self.figure = plt.figure(figsize=(30,18))
self.axes = self.figure.add_subplot(111)
self.axes.hold(True)
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.toolbar.hide()
self.button2 = QtWidgets.QPushButton('Zoom')
self.button2.clicked.connect(self.zoom)
self.button3 = QtWidgets.QPushButton('Pan')
self.button3.clicked.connect(self.pan)
self.button4 = QtWidgets.QPushButton('Home')
self.button4.clicked.connect(self.home)
layout = QtWidgets.QVBoxLayout()
layout.addWidget(self.toolbar)
layout.addWidget(self.canvas)
btnlayout = QtWidgets.QHBoxLayout()
btnlayout.addWidget(self.button2)
btnlayout.addWidget(self.button3)
btnlayout.addWidget(self.button4)
qw = QtWidgets.QWidget(self)
qw.setLayout(btnlayout)
layout.addWidget(qw)
self.setLayout(layout)
def home(self):
self.toolbar.home()
def zoom(self):
self.toolbar.zoom()
def pan(self):
self.toolbar.pan()
def plot(self):
[obj.insert(0,i) for i,obj in enumerate(self.candleData)]
mpf.candlestick_ohlc(self.axes,self.candleData,width=0.8,colorup='r',colordown='g')
self.axes.grid()
print(self.plots)
if self.plots>1:
for i in range(len(self.lineData)):
self.axes.plot(self.lineData[i][0],self.lineData[i][1],color=self.lineData[i][2])
self.canvas.draw()
Now I plot a figure and zoom in for some small part as blow:
Screenshot:
but I should use "pan" to see all of it; shall I see all of it auto when I zoom in?
I am working with the matplotlib library and PyQt5 with Python 3.6. I add a figure in a window I create, and I wish to set transparent the background of this figure because I add an image to the background of the window. But, the figure is not really transparent, it duplicates the background image of the window.
For example, someone deals with the same problem two years ago :
matplotlib and pyqt4 transparent background
Here is a working example (with a background which is black but the figure is not black) :
import sys, os
from PyQt5.QtCore import Qt
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
import matplotlib
matplotlib.use('Qt5Agg') # Make sure that we are using QT5
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
class SecondWindow(QWidget):
def __init__(self, parent=None):
super(SecondWindow, self).__init__(parent)
self.setupUi(self)
def setupUi(self, Form):
# WINDOW SETTINGS
Form.setWindowTitle('Hello')
self.p = QPalette()
self.pixmap = QPixmap(os.getcwd() + "/logo.png").scaled(self.size(), Qt.IgnoreAspectRatio, Qt.SmoothTransformation)
self.p.setBrush(QPalette.Background, QBrush(self.pixmap))
self.setPalette(self.p)
# CREATE FIGURE AND SETTINGS
self.figure = plt.figure()
self.figure.patch.set_facecolor('None')
self.figure.patch.set_alpha(0)
self.canvas = FigureCanvas(self.figure)
self.axes = self.figure.add_subplot(111)
# WINDOW LAYOUT (with H1 and H2)
self.setLayout(QVBoxLayout())
self.layout().addWidget(self.canvas,1)
self.layout().setContentsMargins(50, 50, 50, 50)
if __name__ == '__main__':
app = QApplication(sys.argv)
form = SecondWindow()
form.show()
sys.exit(app.exec_())
I search for answer during long hours but didn't find a solution yet. Thanks for any help you can bring !
Operating System: Windows 7 Pro
Matplotlib Version: 2.0.2 (installed via Anaconda, conda install matplotlib --channel conda-forge)
Python Version: Python 3.6
Anaconda 3
The problem occurs because the background image is set as a palette to the widget. This causes the canvas to inherit the palette and hence the canvas will also have the image as background, somehow overlaying the widget's background.
A solution would be to set the background of the canvas transparent. An easy way to do so are style sheets.
self.canvas.setStyleSheet("background-color:transparent;")
Note that this is not the same as setting the patches' facecolor to none. The figure has a background, which is controlled inside matplotlib, but the canvas, being a PyQt object also has a background.
Complete example:
import sys, os
from PyQt4.QtCore import Qt
from PyQt4.QtGui import *
import matplotlib
matplotlib.use('Qt4Agg')
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
plt.rcParams['xtick.color'] ="w"
plt.rcParams['ytick.color'] ="w"
plt.rcParams['font.size'] = 14
class SecondWindow(QWidget):
def __init__(self, parent=None):
super(SecondWindow, self).__init__(parent)
# CREATE FIGURE AND SETTINGS
self.figure = plt.figure()
self.figure.patch.set_facecolor("None")
self.canvas = FigureCanvas(self.figure)
self.axes = self.figure.add_subplot(111)
self.axes.patch.set_alpha(0.5)
###### Make the background of the canvas transparent
self.canvas.setStyleSheet("background-color:transparent;")
self.p = QPalette()
self.p.setBrush(QPalette.Background, QBrush(QPixmap("house.png")))
self.setPalette(self.p)
self.setLayout(QVBoxLayout())
self.layout().addWidget(self.canvas,1)
self.layout().setContentsMargins(50, 50, 50, 50)
if __name__ == '__main__':
app = QApplication(sys.argv)
form = SecondWindow()
form.show()
sys.exit(app.exec_())
which might then look like
I'm facing an issue and I cannot get rid of it.
I'm trying to use the Pickle package in order to save a matplotlib figure to replot it if i want to.
So far I have the below code which open a Qt window and plot some curves in it if the 'if' condition in lfpViewer.__Init__() is 1 (I put 0 only to check the pickle load function).
So I added, to the toolbar, two buttons where I can save a .pickle of the current figure or load a .pickle from a previous figure.
import pickle
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
import sys
import os
import matplotlib
import numpy as np
matplotlib.use('Qt5Agg')
import matplotlib.patches as patches
from matplotlib.figure import Figure
import matplotlib.pyplot as plt
from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt5agg import NavigationToolbar2QT as NavigationToolbar
class SurfViewer(QMainWindow):
def __init__(self, parent=None):
super(SurfViewer, self).__init__()
self.parent = parent
self.centralWidget = QWidget()
self.color = self.centralWidget.palette().color(QPalette.Background)
self.setCentralWidget(self.centralWidget)
self.plotview = QGroupBox(" ")
self.layout_plotview = QVBoxLayout()
self.mascenelfp = lfpViewer(self)
self.layout_plotview.addWidget(self.mascenelfp)
self.centralWidget.setLayout(self.layout_plotview)
class lfpViewer(QGraphicsView):
def __init__(self, parent=None):
super(lfpViewer, self).__init__(parent)
self.parent=parent
self.scene = QGraphicsScene(self)
self.setScene(self.scene)
self.setBackgroundBrush(QBrush(self.parent.color))# self.setBackgroundBrush(QBrush(QColor(200, 200, 200)))
self.figure = plt.figure(facecolor=[self.parent.color.red()/255,self.parent.color.green()/255,self.parent.color.blue()/255]) #Figure()
self.canvas = FigureCanvas(self.figure)
self.toolbar = NavigationToolbar(self.canvas, self)
self.save_button = QPushButton()
self.save_button.setIcon(QIcon(os.path.join('icons','SaveData.png')))
self.save_button.setToolTip("Save Figure Data")
self.toolbar.addWidget(self.save_button)
self.save_button.clicked.connect(self.saveFigData)
self.load_button = QPushButton()
self.load_button.setIcon(QIcon(os.path.join('icons','LoadData.png')))
self.load_button.setToolTip("Load Figure Data")
self.toolbar.addWidget(self.load_button)
self.load_button.clicked.connect(self.loaddatapickle)
if 0:
t=np.arange(1000)
self.axes_l=self.figure.add_subplot(311)
self.axes_l.plot(t, np.sin(2*3.14*100*t))
self.axes_Y=self.figure.add_subplot(312)
self.axes_Y.plot(t, np.cos(2*3.14*100*t))
self.axes_Yi=self.figure.add_subplot(313)
self.axes_Yi.plot(t, np.tan(2*3.14*100*t))
self.canvas.setGeometry(0, 0, 1600, 500 )
layout = QVBoxLayout()
layout.addWidget(self.toolbar)
layout.addWidget(self.canvas)
self.setLayout(layout)
def loaddatapickle(self):
fileName = QFileDialog.getOpenFileName(self,'Load Data', '', 'pickle (*.pickle)')
if (fileName[0] == '') :
return
fileName = str(fileName[0])
filehandler = open(fileName , 'rb')
self.figure = pickle.load(filehandler)
filehandler.close()
self.canvas.draw()
self.parent.parent.processEvents()
return
def saveFigData(self):
fileName = QFileDialog.getSaveFileName(self,'Save Figure Data', '', 'pickle (*.pickle)')
if (fileName[0] == '') :
return
fileName = str(fileName[0])
file_pi = open(fileName, 'wb')
pickle.dump(self.figure, file_pi, -1)
file_pi.close()
return
def main():
app = QApplication(sys.argv)
ex = SurfViewer(app)
ex.showMaximized()
sys.exit(app.exec_())
if __name__ == '__main__':
main()
The save seems works (well, at least, I have a file), but the load button do absolutly nothing !
Even If I have a .pickle file, I don't know if pickle save the correct binary of the figure because when I load the pickle file in debug mode, I get lot of red stuff.
Look for the below image :
If I do the code without PyQt5, it works fine, for instance, with the below code:
import pickle
import matplotlib
import numpy as np
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as plt
def loaddatapickle():
filehandler = open('test.pickle' , 'rb')
figure = pickle.load(filehandler )
filehandler.close()
return figure
def saveFigData(figure):
file_pi = open('test.pickle', 'wb')
pickle.dump(figure , file_pi, 1)
file_pi.close()
return
figure = plt.figure( ) #Figure()
Save= 0
if Save==1:
t=np.arange(1000)
axes_l=figure.add_subplot(311)
axes_l.plot(t, np.sin(2*3.14*100*t))
axes_Y=figure.add_subplot(312)
axes_Y.plot(t, np.cos(2*3.14*100*t))
axes_Yi=figure.add_subplot(313)
axes_Yi.plot(t, np.tan(2*3.14*100*t))
saveFigData(figure)
else:
figure=loaddatapickle()
plt.show()
If somebody have an idea of what is going on here, please tell me !
Have a nice day.
I can't be sure if this solves the problem you are facing, but let's give it a try. I need to mention, I don't have QT5 available and I'm working with python 2.7 and matplotlib 2.0.0. But the solution here might be valid for general cases.
When adapting the program to pyqt4 and running it, I found out that the pickling works fine. Also the unpickling did not throw any error, so I suspected that there might be a problem of displaying the unpickled figure.
What turns out to allow loading the figure is to not only load the figure into self.figure but to recreate the canvas with this unpickled figure and newly add it to the layout:
def loaddatapickle(self):
#needed to change some stuff here, since in Qt4 the dialog directly returns a string
fileName = QFileDialog.getOpenFileName(self,'Load Data', '' )
if (fileName == '') :
return
fileName = str(fileName)
filehandler = open(fileName , 'rb')
self.figure = pickle.load(filehandler)
filehandler.close()
# remove the old canvas
self.layout().removeWidget(self.canvas)
# create a new canvas
self.canvas = FigureCanvas(self.figure)
# add the new canvas at the position of the old one
self.layout().addWidget(self.canvas, 1)
self.canvas.draw()
self.parent.parent.processEvents()
return
Of course it would be better to directly update the canvas with the new figure, but I haven't found any way to do that.
I'm trying to use the 'ginput' to measure distance in a matplotlib figure by allowing the user to mouse click the locations. I am able to do this independently in the matplotlib figure, but I'm having problems when I tried to set the figure onto a matplotlib canvas and then embed it into PyQt4 widget. Below is my code, most of which were taken from the matplotlib examples. My solution will be to click a set of locations, and pass the (x,y) coordinates to the 'dist_calc' function to get the distance.
import sys
from PyQt4 import QtGui
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.backends.backend_qt4agg import NavigationToolbar2QT as NavigationToolbar
import matplotlib.pyplot as plt
from matplotlib.figure import Figure
import random
import numpy as np
class Window(QtGui.QWidget):
def __init__(self, parent=None):
super(Window, self).__init__(parent)
self.fig = Figure((6.5, 5.0), tight_layout=True)
self.ax = self.fig.add_subplot(111)
self.canvas = FigureCanvas(self.fig)
self.toolbar = NavigationToolbar(self.canvas, self)
self.button = QtGui.QPushButton('Plot')
self.button.clicked.connect(self.plot)
self.ndist = QtGui.QPushButton('Measure')
self.ndist.clicked.connect(self.draw_line)
self.toolbar.addWidget(self.button)
self.toolbar.addWidget(self.ndist)
self.fig.tight_layout()
layout = QtGui.QVBoxLayout()
layout.addWidget(self.toolbar)
layout.addWidget(self.canvas)
self.setLayout(layout)
def plot(self):
data = [random.random() for i in range(20)]
self.ax.hold(False)
self.ax.plot(data, '*-')
self.canvas.draw()
def draw_line(self):
self.xy = plt.ginput(0)
x = [p[0] for p in self.xy]
y = [p[1] for p in self.xy]
self.ax.plot(x,y)
self.ax.figure.canvas.draw()
self.get_dist(x, y)
def get_dist(self, xpts, ypts):
npts = len(xpts)
distArr = []
for i in range(npts-1):
apt = [xpts[i], ypts[i]]
bpt = [xpts[i+1], ypts[i+1]]
dist =self.calc_dist(apt,bpt)
distArr.append(dist)
tdist = np.sum(distArr)
print(tdist)
def calc_dist(self,apt, bpt):
apt = np.asarray(apt)
dist = np.sum((apt - bpt)**2)
dist = np.sqrt(dist)
return dist
if __name__ == '__main__':
app = QtGui.QApplication(sys.argv)
main = Window()
main.show()
sys.exit(app.exec_())
According to this comment by one of the lead Matplotlib developers, you must not import pyplot when you're embedding Matplotlib in Qt. Pyplot sets up its own gui, mainloop and canvas, which interfere with the Qt event loop.
Changing the line self.xy = plt.ginput(0) into self.xy = self.fig.ginput(0) did not help but gave an insightful error:
AttributeError: 'FigureCanvasQTAgg' object has no attribute 'manager'
Figure.show works only for figures managed by pyplot, normally created by pyplot.figure().
In short, I don't think this is possible. ginput is a blocking function and seems only to be implemented for a Matplotlib event loop. I'm afraid that you will have to build the functionality you want using Matplotlib mouse events, which do work when embedding in PyQt. Just be sure not to use pyplot!
Edit: I just remembered, perhaps the LassoSelector is what you need.