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Using the code above with Pandas 0.20 the plot automatically identifies that the X axes contains dates. While using pandas 0.21 this, or other attempts, to force the X axes to show dates in the axes. The two plots have been attached and as you can notice one has show the datetiem as "%d %H:%M", as expected, while the 2nd made with the latest package shows integers.
All the other packages are unchanged.
The text was updated successfully, but these errors were encountered:
This was an intentional change to not import matplotlib when pandas is imported. You can either use Series/DataFrame.plot, or explicitly register the pandas converters. (you can search around for duplicate issues for more info).
Using the following code
plt.plot(pd.to_datetime(np.linspace(1501288700, 1501290000, 10), unit='s'), np.arange(10))
plt.show()
I obtain different result using 0.20 or 0.21.
Using the code above with Pandas 0.20 the plot automatically identifies that the X axes contains dates. While using pandas 0.21 this, or other attempts, to force the X axes to show dates in the axes. The two plots have been attached and as you can notice one has show the datetiem as "%d %H:%M", as expected, while the 2nd made with the latest package shows integers.
All the other packages are unchanged.
The text was updated successfully, but these errors were encountered: