BUG: fails to plot 2 plots with secondary y axis when index type is PeriodIndex and plot kinds are different · Issue #61161 · pandas-dev/pandas (original) (raw)

Pandas version checks

• I have checked that this issue has not already been reported.
• 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

import pandas as pd import matplotlib.pyplot as plt

print(pd.version)

index = pd.period_range('2023', periods=3, freq='Y') df = pd.DataFrame({ 'col1': [10, 20, 30], 'col2': [40, 25, 10] }, index=index)

Workaround !!!!

df.index = df.index.astype(str)

print(type(df.index))

fig, ax = plt.subplots()

df['col1'].plot(kind='bar', ax=ax)

ax2 = ax.twinx()

df['col2'].plot(kind='line', ax=ax2, color = 'r')

plt.show()

Issue Description

I seem to have found the following bug:

It is not possible to plot 2 plots with different Y axis when the following 2 conditions are met:

• plot kinds are different (e.g. 'bar' and 'line')
• index type is PeriodIndex

The easy workaround is to convert index to string:

If the parameter 'kind' of both axis is identical, then it works as well without workound

Expected Behavior

Both plots shall be possible to be seen

Installed Versions

INSTALLED VERSIONS

commit : 0691c5c
python : 3.12.7
python-bits : 64
OS : Windows
OS-release : 11
Version : 10.0.22631
machine : AMD64
processor : Intel64 Family 6 Model 170 Stepping 4, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_Netherlands.1252

pandas : 2.2.3
numpy : 2.2.1
pytz : 2024.2
dateutil : 2.9.0.post0
pip : 24.2
Cython : None
sphinx : None
IPython : 8.31.0
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : 2024.10.0
html5lib : 1.1
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : 5.3.0
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 : 8.3.3
python-calamine : None
pyxlsb : 1.0.10
s3fs : None
scipy : 1.14.1
sqlalchemy : None
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2024.2
qtpy : None
pyqt5 : None