def table(ax, data, rowLabels=None, colLabels=None,
**kwargs):
"""
Helper function to convert DataFrame and Series to matplotlib.table
Parameters
----------
`ax`: Matplotlib axes object
`data`: DataFrame or Series
data for table contents
`kwargs`: keywords, optional
keyword arguments which passed to matplotlib.table.table.
If `rowLabels` or `colLabels` is not specified, data index or column
name will be used.
Returns
-------
matplotlib table object
"""
from pandas import DataFrame
if isinstance(data, Series):
data = DataFrame(data, columns=[data.name])
elif isinstance(data, DataFrame):
pass
else:
raise ValueError('Input data must be DataFrame or Series')
if rowLabels is None:
rowLabels = data.index
if colLabels is None:
colLabels = data.columns
cellText = data.values
import matplotlib.table
table = matplotlib.table.table(ax, cellText=cellText,
rowLabels=rowLabels,
colLabels=colLabels, **kwargs)
return table
plotting.py 文件源码
python
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