Dataframe.plot error (on version 0.25.1)

[ganhw1970]

Code Sample, a copy-pastable example if possible

# Your code here
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
da = np.arange(12).reshape(6,2)
df=pd.DataFrame(da,columns=list('ab'))
fig, ax = plt.subplots()
df[['a']].plot(x=df['b'],ax=ax)
plt.show()

Problem description

these test code run ok on pandas version 0.20.0 ,but error on pandas version is 0.25.1.
the error info is:
KeyError: "None of [Int64Index([1, 3, 5, 7, 9, 11], dtype='int64')] are in the [columns]"

the detail trace info are:

File "E:/pytest/dfplot1.py", line 7, in
df[['a']].plot(x=df['b'],ax=ax)
File "C:\Program Files\Python37\lib\site-packages\pandas\plotting_core.py", line 759, in call
elif not isinstance(data[x], ABCSeries):
File "C:\Program Files\Python37\lib\site-packages\pandas\core\frame.py", line 2986, in getitem
indexer = self.loc._convert_to_indexer(key, axis=1, raise_missing=True)
File "C:\Program Files\Python37\lib\site-packages\pandas\core\indexing.py", line 1285, in _convert_to_indexer
return self._get_listlike_indexer(obj, axis, **kwargs)[1]
File "C:\Program Files\Python37\lib\site-packages\pandas\core\indexing.py", line 1092, in _get_listlike_indexer
keyarr, indexer, o._get_axis_number(axis), raise_missing=raise_missing
File "C:\Program Files\Python37\lib\site-packages\pandas\core\indexing.py", line 1177, in _validate_read_indexer
key=key, axis=self.obj._get_axis_name(axis)
KeyError: "None of [Int64Index([1, 3, 5, 7, 9, 11], dtype='int64')] are in the [columns]"

[this should explain why the current behaviour is a problem and why the expected output is a better solution.]

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Expected Output

Output of pd.show_versions()

[paste the output of pd.show_versions() here below this line]
INSTALLED VERSIONS

commit : None
python : 3.7.4.final.0
python-bits : 64
OS : Windows
OS-release : 7
machine : AMD64
processor : Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None
pandas : 0.25.1
numpy : 1.17.2
pytz : 2019.2
dateutil : 2.8.0
pip : 19.0.3
setuptools : 40.8.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : 0.9.3
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : 3.1.1
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : None
scipy : None
sqlalchemy : 1.3.8
tables : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None