Description
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 numpy as np
import matplotlib.pyplot as plt
# Random data
df_1 = pd.DataFrame(np.random.randint(0,100,size=(1000, 1)), columns=list('v'))
df_2 = pd.DataFrame(np.random.randint(0,100,size=(1000, 1)), columns=list('v'))
# Create a basic figure
fig = plt.figure()
# Add first axis
ax_1 = fig.add_axes([
0.0, # left
0.0, # bottom
0.5, # width
1.0 # height
])
df_1.plot(ax=ax_1)
# Add second axis
ax_2 = fig.add_axes([0.5, 0.0, 0.5, 1.0])
df_2.plot(ax=ax_2)Issue Description
Consider the minimal code example using pandas (2.0.2) along matplotlib (3.7.1). numpy is not relevant, as it's only used to generate random data. When executing the code the following error appears:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[8], line 23
21 # Add second axis
22 ax_2 = fig.add_axes([0.5, 0.0, 0.5, 1.0])
---> 23 df_2.plot(legend=False, ax=ax_2)
File .venv/lib/python3.10/site-packages/pandas/plotting/_core.py:1000, in PlotAccessor.__call__(self, *args, **kwargs)
997 label_name = label_kw or data.columns
998 data.columns = label_name
-> 1000 return plot_backend.plot(data, kind=kind, **kwargs)
File .venv/lib/python3.10/site-packages/pandas/plotting/_matplotlib/__init__.py:71, in plot(data, kind, **kwargs)
69 kwargs["ax"] = getattr(ax, "left_ax", ax)
70 plot_obj = PLOT_CLASSES[kind](data, **kwargs)
---> 71 plot_obj.generate()
72 plot_obj.draw()
73 return plot_obj.result
File .venv/lib/python3.10/site-packages/pandas/plotting/_matplotlib/core.py:455, in MPLPlot.generate(self)
453 self._add_table()
454 self._make_legend()
--> 455 self._adorn_subplots()
457 for ax in self.axes:
458 self._post_plot_logic_common(ax, self.data)
...
--> 400 is_first_col = lambda x: x.get_subplotspec().is_first_col()
401 else:
402 is_first_col = lambda x: x.is_first_col()
AttributeError: 'NoneType' object has no attribute 'is_first_col'
However if I pin the matplotlib version to <3.7 it works correctly and my plot is shown.
Expected Behavior
Plot is shown properly regardless of the underlying matplotlib version.
Installed Versions
INSTALLED VERSIONS
commit : 965ceca
python : 3.10.8.final.0
python-bits : 64
OS : Darwin
OS-release : 22.5.0
Version : Darwin Kernel Version 22.5.0: Mon Apr 24 20:52:24 PDT 2023; root:xnu-8796.121.2~5/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8
pandas : 2.0.2
numpy : 1.24.3
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.8.0
pip : 22.3
Cython : None
pytest : 7.3.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.12.2
pandas_datareader: None
bs4 : 4.12.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.7.1
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.10.1
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None