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AttributeError: module 'matplotlib' has no attribute 'pyplot'

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
35/100
Issue type
Bug
Clarity
Mostly clear
Activity status
Stale
Tech stack
jupyter, matplotlib, python

Research direction

Start at matplotlib_inline/backend_inline.py line 100, where matplotlib.pyplot.close('all') raises the reported AttributeError. Reproduce the failure with the shown notebook usage and compare it with explicitly importing matplotlib.pyplot; done means inline cleanup no longer fails when the backend is used as described.

Written by the indexing model from the issue text.

Description

While attempting to create a piano roll with librosa and matplotlib, like this:

def plot_piano_roll(pm, start_pitch, end_pitch, fs=100):
    # Use librosa's specshow function for displaying the piano roll
    librosa.display.specshow(pm.get_piano_roll(fs)[start_pitch:end_pitch],
                             hop_length=1, sr=fs, x_axis='time', y_axis='cqt_note',
                             fmin=pretty_midi.note_number_to_hz(start_pitch))

plt.figure(figsize=(8, 4))
plot_piano_roll(pm, 56, 70)

I encounter this error:

AttributeError                            Traceback (most recent call last)
File ~/anaconda3/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py:100, in show(close, block)
     97 # only call close('all') if any to close
     98 # close triggers gc.collect, which can be slow
     99 if close and Gcf.get_all_fig_managers():
--> 100     matplotlib.pyplot.close('all')

File ~/anaconda3/lib/python3.9/site-packages/matplotlib/_api/__init__.py:226, in caching_module_getattr.<locals>.__getattr__(name)
    224 if name in props:
    225     return props[name].__get__(instance)
--> 226 raise AttributeError(
    227     f"module {cls.__module__!r} has no attribute {name!r}")

AttributeError: module 'matplotlib' has no attribute 'pyplot'

The error seems to be fixed if I explicitly declare import matplotlib.pyplot as plt at the start of the file and then use that to call it like this: plt.close('all'). If that alone is satisfactory, I would request to do a PR.

Dominant language
Jupyter Notebook
Stars
31
Forks
39
PR merge metrics
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