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jklymak opened this issue Mar 9, 2019 · 3 comments · Fixed by #13642
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scatter and date auto-lim far too wide.... #13639

jklymak opened this issue Mar 9, 2019 · 3 comments · Fixed by #13642
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topic: date handling

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@jklymak
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jklymak commented Mar 9, 2019 •
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Bug report

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

df = pd.DataFrame({'Depth': [0.2, 0.4, 0.4, 0.4, 0.4, 0.4, 0.6, 0.4, 3.2, 2.0],
                   'DateTimeUTC': [pd.Timestamp('2018-03-28 06:25:08'),
                                   pd.Timestamp('2018-03-28 06:25:49'),
                                   pd.Timestamp('2018-03-28 06:27:06'),
                                   pd.Timestamp('2018-03-28 06:32:11'),
                                   pd.Timestamp('2018-03-28 06:32:59'),
                                   pd.Timestamp('2018-03-28 06:34:02'),
                                   pd.Timestamp('2018-03-28 06:35:38'),
                                   pd.Timestamp('2018-03-28 06:37:04'),
                                   pd.Timestamp('2018-03-28 06:39:08'),
                                   pd.Timestamp('2018-03-28 06:40:52')]})

x = np.asarray(df['DateTimeUTC'])
y = np.asarray(df['Depth'])

fig, axs = plt.subplots(2, 1)


ax = axs[0]
ax.scatter(x, y)
ax.set_title("using scatter")

ax = axs[1]
ax.plot(x, y)
ax.set_title("Using plot")

fig.tight_layout()
plt.show()

Figure_1

Matplotlib version

  • Matplotlib version: master
@jklymak
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jklymak commented Mar 9, 2019

This was found by seaborn: mwaskom/seaborn#1641

@ImportanceOfBeingErnest
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I think this is still the old issue #7413 which already has quite some duplicates.

@jklymak
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jklymak commented Mar 9, 2019

Good catch, absolutely. I'll close this and link in that issue....

@jklymak jklymak closed this as completed Mar 9, 2019
This was referenced Mar 9, 2019
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FIX: get_datalim for collection jklymak/matplotlib
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@jklymak @ImportanceOfBeingErnest