datascience.tables.Table.barh

Table.barh(column_for_categories=None, select=None, overlay=True, **vargs)

Plot horizontal bar charts for the table.

Each plot is labeled using the values in column_for_categories and one plot is produced for every other column (or for the columns designated by select).

Every selected except column for column_for_categories must be numerical.

Args:

column_for_categories (str): A column containing y-axis categories

Kwargs:

overlay (bool): create a chart with one color per data column;

if False, each will be displayed separately.

vargs: Additional arguments that get passed into plt.barh.

See http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.barh for additional arguments that can be passed into vargs.

>>> t = Table().with_columns([
...     'Furniture', ['chairs', 'tables', 'desks'],
...     'Count', [6, 1, 2],
...     'Price', [10, 20, 30]
...     ])
>>> t
Furniture | Count | Price
chairs    | 6     | 10
tables    | 1     | 20
desks     | 2     | 30
>>> furniture_table.barh('Furniture') 
<bar graph with furniture as categories and bars for count and price>
>>> furniture_table.barh('Furniture', 'Price') 
<bar graph with furniture as categories and bars for price>
>>> furniture_table.barh('Furniture', [1, 2]) 
<bar graph with furniture as categories and bars for count and price>