datascience.tables.Table.group_barh¶
- Table.group_barh(column_label, **vargs)[source]¶
Plot a horizontal bar chart for the table.
The values of the specified column are grouped and counted, and one bar is produced for each group.
Note: This differs from
barh
in that there is no need to specify bar heights; the size of a category’s bar is the number of copies of that category in the given column. This method behaves more likehist
in that regard, whilebarh
behaves more likeplot
orscatter
(which require the second coordinate of each point to be specified in another column).- Args:
column_label
(str or int): The name or index of a column- Kwargs:
- overlay (bool): create a chart with one color per data column;
if False, each will be displayed separately.
width (float): The width of the plot, in inches height (float): The height of the plot, in inches
- vargs: Additional arguments that get passed into plt.bar.
See http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.bar for additional arguments that can be passed into vargs.