pandas.plotting.table#
- pandas.plotting.table(ax, data, **kwargs)[source]#
Helper function to convert DataFrame and Series to matplotlib.table.
- Parameters:
- axMatplotlib axes object
The axes on which to draw the table.
- dataDataFrame or Series
Data for table contents.
- **kwargs
Keyword arguments to be passed to matplotlib.table.table. If rowLabels or colLabels is not specified, data index or column name will be used.
- Returns:
- matplotlib table object
The created table as a matplotlib Table object.
See also
DataFrame.plot
Make plots of DataFrame using matplotlib.
matplotlib.pyplot.table
Create a table from data in a Matplotlib plot.
Examples
>>> import matplotlib.pyplot as plt >>> df = pd.DataFrame({"A": [1, 2], "B": [3, 4]}) >>> fix, ax = plt.subplots() >>> ax.axis("off") (0.0, 1.0, 0.0, 1.0) >>> table = pd.plotting.table( ... ax, df, loc="center", cellLoc="center", colWidths=list([0.2, 0.2]) ... )