figure in matplotlib doesn't show plots created in axes

Environment data

• VS Code version: 1.32.3
• Extension version (available under the Extensions sidebar): Python 2019.3.6558
• OS and version: Windows 1709
• Python version (& distribution if applicable, e.g. Anaconda): Ptyhon 3.7.3
• Type of virtual environment used (N/A | venv | virtualenv | conda | …): virtualenv
• Relevant/affected Python packages and their versions: matplotlib

Expected behaviour

I am trying to practice using matplotlib in VSCode. In Jupyter, I can do the following. Basically, after I created figure & axes, if I created any plots in axes, figure will show the plot.

Actual behaviour

However, if I do exactly the same in VSCode, figure will return nothing. ax1’s plot cannot be shown in the figure.

Steps to reproduce:

import numpy as np
import pandas as pd
from fastai.imports import *

import pyodbc
import matplotlib.pyplot as plt
import seaborn as sns

from IPython.display import display

fig = plt.figure()

ax1 = fig.add_subplot(2, 2, 1)
ax2 = fig.add_subplot(2, 2, 2)
ax3 = fig.add_subplot(2, 2, 3)

ax1.hist(np.random.randn(100), bins=20, color='k', alpha=0.3)

fig

It will have different results between Jupyter and VSCode. Figure should be able to show what has been plotted in axes.

[mukerong]

@ronglums sorry for the late reply. Looks like it works with the light theme! Is it possible to make matplotlib supports the dark theme? I really like the dark theme and don’t want to change to light because of matplotlib.

[greazer]

dupe of microsoft/vscode-jupyter#2904