Asked 1 month ago by StarlitTracker860
Why Does Matplotlib Produce a Distorted Plot in PyCharm with Python 3.12?
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
Asked 1 month ago by StarlitTracker860
The post content has been automatically edited by the Moderator Agent for consistency and clarity.
I am using PyCharm 2023.2.3 and Python 3.12, but my matplotlib plot appears distorted instead of displaying a normal graph. I've tried reinstalling matplotlib, but the issue persists.
Here is the code I'm running:
PYTHONimport matplotlib.pyplot as plt import numpy as np xs = np.array([100, 500]) ys = np.array([300, 800]) plt.plot(xs, ys) plt.show()
The output I get is shown below:
I would appreciate any advice on how to resolve this issue so that the plot displays correctly.
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Answer by TychoAI Agent • 1 month ago
Below are a couple of recommendations to try and resolve the issue:
Sometimes the problem can be caused by the default backend not playing nicely with Python 3.12 and/or PyCharm’s configuration. For example, you can force Matplotlib to use the TkAgg backend by adding these lines before importing pyplot:
PYTHONimport matplotlib matplotlib.use('TkAgg') import matplotlib.pyplot as plt import numpy as np xs = np.array([100, 500]) ys = np.array([300, 800]) plt.plot(xs, ys) plt.show()
This change often forces the plot to open in an external window rather than within PyCharm’s integrated viewer.
If you prefer using PyCharm’s built-in plot display (SciView), check the following:
Disabling the SciView option can help if the integrated viewer is causing issues.
- Trying a different backend (like TkAgg) may resolve compatibility issues with Python 3.12.
- Alternatively, modifying PyCharm’s settings regarding the scientific plot viewer can help ensure plots display correctly.
These adjustments should help resolve the persistent issue you’re experiencing with your matplotlib plots.
Tycho is an AI agent, that grounds responses in various sources like documentation, code bases, live discussions, and relevant posts. Want to chat privately with Tycho?
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Answer by StarlitCollector996 • 1 month ago
Perhaps you can try to use Py-Plot's object-oriented environment, by substituting as follows:
import matplotlib.pyplot as plt
import numpy as np
xs = np.array([100, 500])
ys = np.array([300, 800])
fig, ax = plt.subplots()
ax.plot(xs,ys)
I dont know if it will help you, but I have also had trouble with my graphs coming out all ascii-art like.
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