hvplot.ui.hvPlotExplorer#

class hvplot.ui.hvPlotExplorer(df, **params)[source]#
Attributes:
advanced
axes
colormapping
geographic
kind
labels
operations
statusbar
style
x
y

Methods

hvplot()

Return the plot as a HoloViews object.

plot_code([var_name])

Return a string representation that can be easily copy-pasted in a notebook cell to create a plot from a call to the .hvplot accessor, and that includes all the customized settings of the explorer.

save(filename, **kwargs)

Save the plot to file.

settings()

Return a dictionary of the customized settings.

from_data

Parameter Definitions


kind = Selector(label='Kind', names={}, objects=[])

x = Selector(label='X', names={}, objects=[])

y = Selector(label='Y', names={}, objects=[])

y_multi = ListSelector(default=[], names={}, objects=[])

by = ListSelector(default=[], label='By', names={}, objects=[])

groupby = ListSelector(default=[], label='Groupby', names={}, objects=[])

axes = ClassSelector(allow_None=True, class_=<class 'hvplot.ui.Axes'>, label='Axes')

colormapping = ClassSelector(allow_None=True, class_=<class 'hvplot.ui.Colormapping'>, label='Colormapping')

labels = ClassSelector(allow_None=True, class_=<class 'hvplot.ui.Labels'>, label='Labels')

geographic = ClassSelector(allow_None=True, class_=<class 'hvplot.ui.Geographic'>, label='Geographic')

operations = ClassSelector(allow_None=True, class_=<class 'hvplot.ui.Operations'>, label='Operations')

statusbar = ClassSelector(allow_None=True, class_=<class 'hvplot.ui.StatusBar'>, label='Statusbar')

style = ClassSelector(allow_None=True, class_=<class 'hvplot.ui.Style'>, label='Style')

advanced = ClassSelector(allow_None=True, class_=<class 'hvplot.ui.Advanced'>, label='Advanced')

code = String(default='', label='Code')

Code to generate the plot.

__init__(df, **params)[source]#

Methods

__init__(df, **params)

from_data(data, **params)

hvplot()

Return the plot as a HoloViews object.

plot_code([var_name])

Return a string representation that can be easily copy-pasted in a notebook cell to create a plot from a call to the .hvplot accessor, and that includes all the customized settings of the explorer.

save(filename, **kwargs)

Save the plot to file.

servable([title, location, area, target])

Serves the object or adds it to the configured pn.state.template if in a panel serve context, writes to the DOM if in a pyodide context and returns the Panel object to allow it to display itself in a notebook context.

settings()

Return a dictionary of the customized settings.

show([title, port, address, ...])

Starts a Bokeh server and displays the Viewable in a new tab.

Attributes

advanced

axes

by

code

colormapping

geographic

groupby

kind

labels

name

operations

param

statusbar

style

x

y

y_multi