It always annoyed me that it was not possible to generate a histogram or kernel density estimation plot from a datetime column.

Is there interest in a solution following this approach?
Link to SO

import pandas as pd import numpy as np import matplotlib.pyplot as plt df = pd.DataFrame({"datetime": pd.to_datetime(np.random.randint(1582800000000000000, 1583500000000000000, 100, dtype=np.int64))}) fig, ax = plt.subplots() df["datetime"].astype(np.int64).plot.hist(ax=ax) labels = ax.get_xticks().tolist() labels = pd.to_datetime(labels) ax.set_xticklabels(labels, rotation=90) plt.show()

I didn't look into the the pandas source code yet, but if there is interest in something like this I will look into it.

I think the main issue will be finding good x tick labels, if thats a requirement.

Greetings!