BUG: scatter and line matplotlib plots not compatible for sharex=True datetime plots · Issue #61005 · pandas-dev/pandas (original) (raw)

Pandas version checks

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• I have confirmed this bug exists on the latest version of pandas.
• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

datetime_list = [datetime.datetime(year = 2025, month = 1, day = 1, hour = n) for n in range(23)] y = [n for n in range(23)]

df = pd.DataFrame(columns = ['datetime','y']) for i, n in enumerate(datetime_list): df.loc[len(df)] = [n,y[i]]

#Plotting with pandas - first subplot shows up as blank fig, ax = plt.subplots(2, sharex=True) df.plot.scatter(x = 'datetime', y = 'y', ax = ax[0]) df.plot(x = 'datetime', y = 'y', ax = ax[1])

#Plotting with matplotlib - this works fig, ax = plt.subplots(2, sharex=True) ax[0].scatter(df['datetime'],df['y']) ax[1].plot(df['datetime'],df['y'])

Issue Description

When I am trying to plot a line plot and scatter plot using df.plot and df.plot.scatter, the scatter plot shows up as blank when I select sharex=True when making the figure and axes.

#Plotting with pandas - first subplot shows up as blank fig, ax = plt.subplots(2, sharex=True) df.plot.scatter(x = 'datetime', y = 'y', ax = ax[0]) df.plot(x = 'datetime', y = 'y', ax = ax[1])

However, if I plot using the standard matplotlib way of plotting (ax.scatter and ax.plot), both subplots show up correctly when I set sharex=True for the figure.

#Plotting with matplotlib - this works fig, ax = plt.subplots(2, sharex=True) ax[0].scatter(df['datetime'],df['y']) ax[1].plot(df['datetime'],df['y'])

Expected Behavior

I would expect for the both subplots to show up, not blank. The behavior should be more similar to the traditional way of plotting with matplotlib.

Installed Versions

INSTALLED VERSIONS

commit : 0691c5c
python : 3.13.1
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19045
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252

pandas : 2.2.3
numpy : 2.2.2
pytz : 2025.1
dateutil : 2.9.0.post0
pip : 24.3.1
Cython : None
sphinx : None
IPython : 8.32.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.13.3
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.5
lxml.etree : None
matplotlib : 3.10.0
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.15.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2025.1
qtpy : None
pyqt5 : None