hvPlot.table

hvPlot.table(columns=None, **kwds)

Displays a ‘table’.

Reference: https://hvplot.holoviz.org/ref/api/manual/hvplot.hvPlot.table.html

Plotting options: https://hvplot.holoviz.org/ref/plotting_options/index.html

Parameters:

columnsstring or sequence

The field(s) to display as columns.

**kwdsoptional

Additional keywords arguments are documented in Plotting Options. Run hvplot.help('table') for the full method documentation.

Returns:

holoviews.element.Table / Panel object

You can print the object to study its composition and run:

import holoviews as hv
hv.help(the_holoviews_object)

to learn more about its parameters and options.

References

• HoloViews: https://holoviews.org/reference/elements/bokeh/Table.html

• Plotly: https://plotly.com/python/table/

• Matplotlib: https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.table.html

Backend-specific styling options

Bokeh

editable, fit_columns, index_position, row_headers, scroll_to_selection, selectable, sortable, visible

Matplotlib

alpha, sketch_params

Examples

Table with all columns in the dataframe

import hvplot.pandas # noqa

df = hvplot.sampledata.penguins("pandas")

df.hvplot.table()

Table with selected columns

import hvplot.pandas # noqa

df = hvplot.sampledata.penguins("pandas")

df.hvplot.table(columns=['species', 'island', 'body_mass_g','sex'])

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