I'm using python3 with matplotlib. I've encountered some issues with the pyplot.draw() function : no graphic window appears on my screen when I run my script.
The pyplot.plot() function works just fine :
#!/usr/bin/python3.2
#-*-coding:utf-8-*
from matplotlib import pyplot as plt
import numpy as np
plt.figure(1)
plt.plot(np.arange(35), np.arange(25),'r')
plt.show()
In this situation ./myscript.py displays the graphic window.
But when I try to make an simple animation :
import numpy as np
from matplotlib import pyplot as plt
from time import sleep
plt.ion()
nb_images = 1000
tableau = np.random.normal(10,10,(nb_images, 100, 100))
image = plt.imshow(tableau[0,:,:])
for k in np.arange(nb_images)
image.set_data(tableau[k,:,:])
print(k)
plt.draw()
sleep(0.1)
./myscript.py does the calculation (my terminal displays the "k" value) but the graphic window doesn't appear on my screen...
The problem is the same when I'm using python2.x
The backend in the configuration file "matplotlibrc" (python3.2) is "tkagg". I've already tried to change it but still no graphic window to admire my animation....
Thanks for you help.
Related
I'm running python 3.5.3 64bit on my Google PixelBook with VSCode as my IDE. I'm following an online tutorial and have the following script:
import matplotlib.pyplot as plt
# import numpy as np
# import pandas as pd
x = [1,2,3]
y = [2,4,6]
plt.plot(x,y)
print(plt.get_backend())
# plt.savefig('matplotlib/image.svg')
plt.show()
I've tried doing some troubleshooting myself.
The backend is 'TkAgg'. The plot does show in a window but only part is shown
The window appears to work - I can see coordinates etc as I mouse over.
The saved plot also looks OK so assuming it's a tkinter issue rather than mathplotlib?
What have I missed?
I work with matplotlib. When I add the following lines, the figure is not displayed.
import matplotlib
matplotlib.use('Agg')
here is my code :
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plot
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
fig = plot.figure(figsize=(12,9))
def convert_sin_cos(x):
fft_axes = fig.add_subplot(331)
y = np.cos(x)
fft_axes.plot(x,y,'g*')
for i in range(3):
fft_axes = fig.add_subplot(332)
x=np.linspace(0,10,100)
fft_axes.plot(x,i*np.sin(x),'r+')
plot.pause(0.1)
convert_sin_cos(x)
Thanks
That's the idea!
When I run your code, the console says:
matplotlibAgg.py:15: UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure.
How can it be useful? When you're running matplotlib code in a terminal with no windowing system, for example: a cluster (running the same code with different inputs, getting lot of results and without the need to move the data I can plot whatever I need).
I have a simple script to test a plot in matplotlib but no window showing the figure appears. On reading other questions on stackoverflow, I've done the following to resolve this:
installed PySide using these instructions.
edited matplotlibrc file with these two lines:
backend : Qt4Agg
#backend.qt4 : PySide # PyQt4 | PySide
so that the command python -c 'import matplotlib; import matplotlib.pyplot; print(matplotlib.backends.backend)' now yields Qt4Agg whereas before it gave agg
included the pylab.show() command. So the set of commands that I now tried in the python interpreter after installing Pyside, and editing the matplotlibrc file look like this:
import pylab
pylab.ion()
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(0,5,0.1)
y = np.sin(x)
plt.plot(x,y)
[<matplotlib.lines.Line2D object at 0x7fcef627cdd0>]
pylab.show()
However, the plot still doesn't show. Could anyone please help me with this? I am using Ubuntu 14.04 in VirtualBox with python2.7.
When I use your code the plot actually flashes on the screen, but closes immediately. Placing an input() function at the end might help you with debugging it:
import pylab
import matplotlib.pyplot as plt
import numpy as np
pylab.ion()
x = np.arange(0,5,0.1)
y = np.sin(x)
plt.plot(x,y)
pylab.show()
tin = input("Test Input: ")
And removing the pylab.ion() actually keep the plot on the screen. This gives you another hint. There are already some good answers why this is happening. E.g.:
Matplotlib ion() function fails to be interactive
Is there a way that I can make a matplotlib figure disappear and reappear in response to some event? (i.e. a keypress)
I've tried using fig.set_visible(False) but that doesn't seem to do anything for me.
Simple example of code:
import matplotlib
import matplotlib.pyplot as plt
fig=matplotlib.pyplot.figure(figsize=(10, 10))
# Some other code will go here
def toggle_plot():
# This function is called by a keypress to hide/show the figure
fig.set_visible(not fig.get_visible()) # This doesn't work for me
plt.show()
The reason I'm trying to do this is because I have a bunch of plots/animations running on the figure that show the output of a running simulation, but displaying them all the time slows down my computer a lot.
Any ideas?
You have to call plt.draw() to actually instantiate any changes. This should work:
def toggle_plot():
# This function is called by a keypress to hide/show the figure
fig.set_visible(not fig.get_visible())
plt.draw()
There is a small guide to image toggling in the matplotlib gallery. I was able to use set_visible and get_visible() as shown in the example. The calls in the matplotlib gallery example are on AxesImage instances, rather than Figure instances, as in your example code. That is my guess as to why it did not work for you.
You can you use the Toplevel() widget from the tkinter library together with the matplotlib backend.
Here is a full example:
from tkinter import *
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
fig,(ax) = plt.subplots()
x = np.linspace(0, 2 * np.pi)
y = np.transpose([np.sin(x)])
ax.plot(y)
graph = Toplevel()
canvas = FigureCanvasTkAgg(fig,master=graph)
canvas.get_tk_widget().grid()
canvas.show()
import pdb; pdb.set_trace()
Calling:
graph.withdraw()
will hide the plot, and:
graph.deiconify()
will display it again.
I am trying to use mpl_toolkits.basemap on python and everytime I use a function for plotting like drawcoastlines() or any other, the program automatically shows the plot on the screen.
My problem is that I am trying to use those programs later on an external server and it returns 'SystemExit: Unable to access the X Display, is $DISPLAY set properly?'
Is there any way I can avoid the plot to be shown when I use a Basemap function on it?
I just want to save it to a file so later I can read it externally.
My code is:
from mpl_toolkits.basemap import Basemap
import numpy as np
m = Basemap(projection='robin',lon_0=0)
m.drawcoastlines()
#m.fillcontinents(color='coral',lake_color='aqua')
# draw parallels and meridians.
m.drawparallels(np.arange(-90.,120.,10.))
m.drawmeridians(np.arange(0.,360.,60.))
Use the Agg backend, it doesn't require a graphical environment:
Do this at the very beginning of your script:
import matplotlib as mpl
mpl.use('Agg')
See also the FAQ on Generate images without having a window appear.
The easiest way is to put off the interactive mode of matplotlib.
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
#NOT SHOW
plt.ioff()
m = Basemap(projection='robin',lon_0=0)
m.drawcoastlines()
#m.fillcontinents(color='coral',lake_color='aqua')
# draw parallels and meridians.
m.drawparallels(np.arange(-90.,120.,10.))
m.drawmeridians(np.arange(0.,360.,60.))