I am setting up a remote workstation to run machine learning related python code from my laptop on another computer that includes a GPU.
I use the SSH remote feature of vscode to remotely run and debug my code and I am very happy with the interface. However, I am not able to generate figures coming from the "matplotlib" library.
I tried to modify some matlplotlib options, but it was unsucessful :
import matplotlib
matplotlib.use('Agg')
As instructed in : _tkinter.TclError: no display name and no $DISPLAY environment variable
In short my problem emerges with the following example code :
import numpy as np
from matplotlib import pyplot as plt
x = np.linspace(0,1,101)
y = x ** 2
plt.close()
plt.figure()
plt.plot(x,y)
plt.show()
~/vscode$ cd /home/*/vscode ; env PYTHONIOENCODING=UTF-8 PYTHONUNBUFFERED=1 /usr/bin/python3 /home/*/.vscode-server/extensions/ms-python.python-2019.6.24221/pythonFiles/ptvsd_launcher.py --default --client --host localhost --port 39903 /home/*/vscode/test_plot.py
Traceback (most recent call last):
File "/home/*/.vscode-server/extensions/ms-python.python-2019.6.24221/pythonFiles/ptvsd_launcher.py", line 43, in <module>
main(ptvsdArgs)
File "/home/*/.vscode-server/extensions/ms-python.python-2019.6.24221/pythonFiles/lib/python/ptvsd/__main__.py", line 434, in main
run()
File "/home/*/.vscode-server/extensions/ms-python.python-2019.6.24221/pythonFiles/lib/python/ptvsd/__main__.py", line 312, in run_file
runpy.run_path(target, run_name='__main__')
File "/usr/lib/python3.6/runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "/usr/lib/python3.6/runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/*/vscode/test_plot.py", line 8, in <module>
plt.figure()
File "/usr/lib/python3/dist-packages/matplotlib/pyplot.py", line 539, in figure
**kwargs)
File "/usr/lib/python3/dist-packages/matplotlib/backend_bases.py", line 171, in new_figure_manager
return cls.new_figure_manager_given_figure(num, fig)
File "/usr/lib/python3/dist-packages/matplotlib/backends/backend_tkagg.py", line 1049, in new_figure_manager_given_figure
window = Tk.Tk(className="matplotlib")
File "/usr/lib/python3.6/tkinter/__init__.py", line 2023, in __init__
self.tk = _tkinter.create(screenName, baseName, className, interactive, wantobjects, useTk, sync, use)
_tkinter.TclError: no display name and no $DISPLAY environment variable
Thanks a lot for helping me !
The Visual Studio Code Remote - SSH extension allows you to open a remote folder on any remote machine, virtual machine, or container with a running SSH server and take full advantage of VS Code's feature set. Once connected to a server, you can interact with files and folders anywhere on the remote filesystem.
To start a TensorBoard session, open the Command Palette (Ctrl+Shift+P) and search for the command Python: Launch TensorBoard. Afterwards, you'll be prompted to select the folder where your TensorBoard log files are located.
I found a slight variation of a previous answer to work very well.
Save the plot as .png
instead of plotting it.
plt.savefig("dummy_name.png")
The previous answer then suggests moving the file through scp
. I instead suggest to open dummy_name.png
with Visual Code, no need to write commands and it automatically refreshes the image whenever you plot something else. I tested this from USA with SSH into a server in Europe, the images refreshed in less than half a second.
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