Pandas version checks

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

  • [x] I have confirmed this bug exists on the latest version of pandas.

  • [x] I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

df = pd.DataFrame([(30, 10, 10), (20, 20, 20), (10, 30, 30)], columns=list('ABC'))
df.plot(kind="bar", stacked=True)
df.plot(subplots= [('A','B')],kind="bar", stacked=True)
plt.show()
print(df)

Issue Description

Using both the "stacked" and "subplots" option when drawing a bar graph changes how the bar graph is stacked.

Illustrated with image below where instead of numberically stacking the values for A and B it just physically overlays them. My guess is it doesn't properly use the "bottom" attribute when drawing B.

Image

Expected Behavior

The behavior of the subplot version should be inline with when the option is not used. So the total of the values should equal to A+B for each element

Installed Versions

INSTALLED VERSIONS ------------------ commit : 0691c5cf90477d3503834d983f69350f250a6ff7 python : 3.11.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.22631 machine : AMD64 processor : AMD64 Family 25 Model 33 Stepping 2, AuthenticAMD byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : English_United States.1252 pandas : 2.2.3 numpy : 1.24.2 pytz : 2025.1 dateutil : 2.8.2 pip : 25.0 Cython : None sphinx : None IPython : 8.12.0 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 : 3.1.2 lxml.etree : 5.3.0 matplotlib : 3.10.0 numba : None numexpr : None odfpy : None openpyxl : None pandas_gbq : None psycopg2 : None pymysql : None pyarrow : None pyreadstat : None pytest : None python-calamine : None pyxlsb : None s3fs : None scipy : None sqlalchemy : 2.0.9 tables : None tabulate : None xarray : None xlrd : None xlsxwriter : None zstandard : None tzdata : 2025.1 qtpy : None pyqt5 : None

Comment From: eicchen02

I can take this and #61019 if other people can confirm the issue

Comment From: eicchen02

take