<!--To help us understand and resolve your issue, please fill out the form to the best of your ability.--> <!--You can feel free to delete the sections that do not apply.--> ### Bug report ```python 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() ```  **Matplotlib version** * Matplotlib version: master
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jklymak commentedon Mar 9, 2019
This was found by seaborn: mwaskom/seaborn#1641
ImportanceOfBeingErnest commentedon Mar 9, 2019
I think this is still the old issue #7413 which already has quite some duplicates.
jklymak commentedon Mar 9, 2019
Good catch, absolutely. I'll close this and link in that issue....