Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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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.
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 : 0691c5c
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