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| # `pandas.DataFrame`. Matplotlib allows you to provide the ``data`` keyword argument | ||
| # and generate plots passing the strings corresponding to the *x* and *y* variables. | ||
| # | ||
| # .. _structured numpy array: https://numpy.org/doc/stable/user/basics.rec.html#structured-arrays |
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This link is in-lined above and causing a flake8 flag
| # .. _structured numpy array: https://numpy.org/doc/stable/user/basics.rec.html#structured-arrays |
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(alternatively we could add this file to the flake8 config ignores)
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I don't want to except the whole file from flake8. That's why I've inlined the links. Alternatively, we could use an inline comment # noqa: E501 on the links, which we generally don't do, but seems ok in this case.
Note, it's spelled 'supersedes', but also, it's not one of the valid keywords if that's what you were intending. |
This always gets me, too, though I tend to think it should be spelled "supercedes" as in "cause the other one to cede to it"... or as opposed to "precede" etc. |
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| gaps = np.flatnonzero(np.diff(r.date) > np.timedelta64(1, 'D')) | ||
| gaps = np.flatnonzero(np.diff(r["date"]) > np.timedelta64(1, 'D')) | ||
| for gap in r[['date', 'adj_close']][np.stack((gaps, gaps + 1)).T]: | ||
| ax1.plot(gap.date, gap.adj_close, 'w--', lw=2) |
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This one is a copy of r that hasn't been changed.
| ax1.plot(gap.date, gap.adj_close, 'w--', lw=2) | |
| ax1.plot(gap['date'], gap['adj_close'], 'w--', lw=2) |
timhoffm
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Structured numpy arrays are more fundamental than recarrays and sufficient in all cases. Supersedes matplotlib#26664.
timhoffm
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…687-on-v3.8.x Backport PR #26687 on branch v3.8.x (Remove usage of recarray)
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Structured numpy arrays are more fundamental than recarrays and sufficient in all cases.
Superseeds #26664.