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Correct docstring for plot.py #539

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Merged
merged 1 commit into from
May 3, 2025
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johndgiese
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When running the latest version of the code, the example didn't run without adding these two arguments.

When running the latest version of the code, the example didn't run without adding these two arguments.
@tompollard
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The existing code fails with the following error:

import wfdb

record = wfdb.rdrecord('sample-data/100', sampto=3000)
ann = wfdb.rdann('sample-data/100', 'atr', sampto=3000)

wfdb.plot_items(signal=record.p_signal,
                ann_samp=[ann.sample, ann.sample],
                title='MIT-BIH Record 100', time_units='seconds',
                figsize=(10,4), ecg_grids='all')

Traceback (most recent call last):
  File "/Users/tompollard/projects/wfdb-python/wfdb/plot/plot.py", line 488, in _plot_signal
    t = tarrays[ch_len, ch_freq]
KeyError: (3000, None)

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/tompollard/projects/wfdb-python/wfdb/plot/plot.py", line 261, in plot_items
    _plot_signal(
  File "/Users/tompollard/projects/wfdb-python/wfdb/plot/plot.py", line 495, in _plot_signal
    "minutes": ch_freq * 60,
TypeError: unsupported operand type(s) for *: 'NoneType' and 'int'

Updating the arguments as suggested fixes this issue:

import wfdb

record = wfdb.rdrecord('sample-data/100', sampto=3000)
ann = wfdb.rdann('sample-data/100', 'atr', sampto=3000)

wfdb.plot_items(signal=record.p_signal,
                ann_samp=[ann.sample, ann.sample],
                fs=record.fs, sig_units=record.units,
                title='MIT-BIH Record 100', time_units='seconds',
                figsize=(10,4), ecg_grids='all')

Figure_1

Presumably the behaviour of plot_items changed at some point. It feels like this shouldn't be failing just because these arguments aren't provided (e.g. if units are unknown, just display "Unknown").

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Thanks @johndgiese!

@tompollard tompollard merged commit 1eb04bd into MIT-LCP:main May 3, 2025
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2 participants