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BUG: df.plot(kind='barh') does not show xlabel #46129
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As described in official doc:
It seems that the default rule of Dataframe.plot takes precedence, causing xlabel not to be displayed. There is a way to temporarily solve this problem by using the plt library directly. co2.plot.barh()
plt.title('CO₂ Tübingen to Berlin')
plt.xlabel('kg CO₂-eq')
plt.show() The xlabel will show up on the x-axis. |
Hi! I tried this example in the main branch and found that the xlabel issue has been fixed. Pls check PR 45145, which sloves ur xlabel problem. |
Hi, @McToel ! I find that Pandas plot uses common processing logic: It converts data into DataFrame for subsequent operations, meaning that a Series with name=None will change into DF with columns=["None"]. (By default, the value will changed to That is why
I tried to solve the I'll keep working on it, but before that, I wonder if dealing with Series and DataFrame separately is a step backwards. |
I would suggest to just replace |
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Reproducible Example
Issue Description
The code produces the following plot, with the xlabel showing up on the y-axis.

When only supplying the ylabel, everything works as expected.
When supplying both, the xlabel overrides the ylabel
Expected Behavior
The xlabel should show up on the x-axis.
Installed Versions
INSTALLED VERSIONS
commit : 06d2301
python : 3.9.10.final.0
python-bits : 64
OS : Linux
OS-release : 5.13.0-30-generic
Version : #33~20.04.1-Ubuntu SMP Mon Feb 7 14:25:10 UTC 2022
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.4.1
numpy : 1.22.0
pytz : 2020.1
dateutil : 2.8.1
pip : 22.0.3
setuptools : 58.1.0
Cython : 0.29.21
pytest : 6.2.5
hypothesis : None
sphinx : 3.4.3
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.6.2
html5lib : None
pymysql : None
psycopg2 : 2.8.6
jinja2 : 2.11.2
IPython : 7.19.0
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
fsspec : 0.8.4
gcsfs : None
matplotlib : 3.5.1
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 6.0.1
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.7.3
sqlalchemy : 1.3.24
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
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