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 pandas as pd
import matplotlib.pyplot as plt
df = pd.DataFrame({"x": [10, 11, 12, 13], "y": [20, 21, 22, 23]})
fig, ax = plt.subplots(nrows=1, ncols=1)
df.plot.scatter(x="x", y="y", c="b", ax=ax)
Printed warning:
venv/lib/python3.11/site-packages/pandas/plotting/_matplotlib/core.py:1256: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored
scatter = ax.scatter(
Issue Description
If the color b
(blue) is passed as parameter c
to df.plot.scatter
, a UserWarning is printed.
The UserWarning isn't printed when passing c='blue'
or c=['b']
.
Looking at the code, this is caused by
pandas/pandas/plotting/_matplotlib/core.py
Lines 1237 to 1240 in 6b7225a
that is causing cmap to be set, because
is_integer_dtype('b')
is True, since pandas_dtype('b')
is int8.
Expected Behavior
The UserWarning shouldn't be generated when c='b'
, since 'b'
is a valid color.
Installed Versions
INSTALLED VERSIONS
commit : 965ceca
python : 3.11.1.final.0
python-bits : 64
OS : Darwin
OS-release : 21.6.0
Version : Darwin Kernel Version 21.6.0: Mon Apr 24 21:10:53 PDT 2023; root:xnu-8020.240.18.701.5~1/RELEASE_X86_64
machine : x86_64
processor : i386
byteorder : little
LC_ALL : en_US.UTF-8
LANG : None
LOCALE : en_US.UTF-8
pandas : 2.0.2
numpy : 1.25.0
pytz : 2023.3
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.1.2
Cython : 0.29.35
pytest : 7.3.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.14.0
pandas_datareader: None
bs4 : 4.12.2
bottleneck : None
brotli : None
fastparquet : 2023.4.0
fsspec : 2023.6.0
gcsfs : None
matplotlib : 3.7.1
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 12.0.1
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : None
tables : 3.8.0
tabulate : None
xarray : 2023.5.0
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None