Hexbin plots does not display x label and xtick labels

[BDannowitz]

I'm currently using python 2.7, pandas 0.16.2.dev, and ipython version 3.1.0

In brief, it seems that there are cases that the sharex option of pandas.DataFrame.plot(kind='hexbin') defaults to True instead of False. This causes the x label and xtick labels to be invisible.

Preceding stack overflow and ipython github threads that led to here:

http://stackoverflow.com/questions/31220329/pandas-dataframe-hexbin-plot-has-no-xlabel-or-axis-values

ipython/ipython#8653

[TomAugspurger]

I suspect that it's the same underlying issue as #10611, which is for scatter.

[rabernat]

What is the recommended workaround for this issue?

[cwwalter]

What is the recommended workaround for this issue?

Put a sharex=False in your plot command.

[stelios-c]

has this definitely been fixed? I just had to use the sharex=False workaround on Jupyter 3 (Google Cloud Platform Vertex AI notebooks)

[rabernat]

I just had to use the sharex=False workaround on Jupyter 3 (Google Cloud Platform Vertex AI notebooks)

What version of pandas does your environment have?

[stelios-c]

It's this GCP release https://cloud.google.com/deep-learning-vm/docs/release-notes#October_12_2021

import pandas as pd
pd.__version__
'1.3.3'

[rabernat]

Indeed that is the latest version. 😬

I just reproduced the original bug with 1.3.3 as well

import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.rand(1000, 2), columns=['a', 'b'])
df.plot.hexbin(x='a', y='b');

[stelios-c]

I don't have permissions to re-open this, so anyone with the permissions please re-open.

[jreback]

beat to open a new issue

[stelios-c]

Done