This should happen after _process_chart_x

Tiles without requiring geoviews/cartopy.

Helper method to generate element from indexed dataframe.

Used for testing purposes mostly.

Displays a 'table'. Reference: https://hvplot.holoviz.org/ref/api/manual/hvplot.hvPlot.table.html Plotting options: https:/

Helper method to generate element from indexed dataframe.

Flatten an arbitrarily nested sequence. Inspired by: pd.core.common.flatten Parameters ---------- line : sequence The s

Generate a Graph element from a networkx.Graph object and networkx layout function or dictionary of node positions. Any keyword argument

Populates the options of the controls based on the data type.

This should happen before _process_chart_y

Given crs as proj4 string, data.attr, or cartopy.crs return cartopy.crs

Since the parameters of the pipeline can change at any time we have to invalidate the internal state of the pipeline. To hand

Generate a plot of Andrews curves, for visualising clusters of multivariate data. Andrews curves have the functional form: .. math:

Subclasses must implement applies and return a boolean to indicate whether the subclass should apply or not to the obj.

The `area` plot can be used to color the area under a line or to color the space between two lines. Reference: https://hvplo

A vertical bar plot A `bar` plot represents categorical data with rectangular bars with heights proportional to the values t

A bivariate plot uses nested contours (or contours combined with color) to indicate regions of higher local density. Bivaria

`errorbars` provide a visual indicator for the variability of the plotted data on a graph. They are usually overlaid with other plots

The `hexbin` plot uses hexagons to split the area into several parts and attribute a color to it. `hexbin` offers a straight

Returns a HoloViews object to render the output of this pipeline. Only works if the output of this pipeline is a HoloViews ob

Check if data is lazy This checks if the datatype is Dask, Ibis, or Polars' LazyFrame. It is useful to avoid eager evaluation of the data.

Check if the object is a Matplotlib LinearSegmentedColormap.

The Kernel density estimate (`kde`) plot shows the distribution of the data. The KDE works by placing a Gaussian kernel at each samp

Descend a panel object and find any instances of the given class

Polygon plot for geopandas dataframes. Reference: https://hvplot.holoviz.org/ref/api/manual/hvplot.hvPlot.polygons.html Plo

QuadMesh plot ``quadmesh`` allows you to plot values on an irregular grid by representing each value as a polygon. It is oft

Generate an array of byte strings.

`violin` plots are similar to `box` plots, but they provide a better sense of the distribution of data. Note that `violin`

The `.interactive` API enhances the API of data analysis libraries like Pandas, Dask, and Xarray, by allowing to replace in a pipelin

List default attributes and custom defined plots.