hvplot.plotting.scatter_matrix#
- hvplot.plotting.scatter_matrix(data, c=None, chart='scatter', diagonal='hist', alpha=0.5, nonselection_alpha=0.1, tools=None, cmap=None, colormap=None, diagonal_kwds=None, hist_kwds=None, density_kwds=None, datashade=False, rasterize=False, dynspread=False, spread=False, **kwds)[source]#
Scatter matrix of numeric columns.
A scatter_matrix shows all the pairwise relationships between the columns. Each non-diagonal plots the corresponding columns against each other, while the diagonal plot shows the distribution of each individual column.
This function is closely modelled on
pandas.plotting.scatter_matrix().- Parameters:
- dataDataFrame
The data to plot. Every column is compared to every other column.
- cstr, optional
Column to color by
- chartstr, optional
Chart type for the off-diagonal plots (one of ‘scatter’, ‘bivariate’, ‘hexbin’)
- diagonalstr, optional
Chart type for the diagonal plots (one of ‘hist’, ‘kde’)
- alphafloat, optional
Transparency level for the off-diagonal plots
- nonselection_alphafloat, optional
Transparency level for nonselected object in the off-diagonal plots
- toolslist of str, optional
Interaction tools to include Defaults are ‘box_select’ and ‘lasso_select’
- cmap/colormapstr or colormap object, optional
Colormap to use when
cis set. Default is Category10 <https://github.com/d3/d3-3.x-api-reference/blob/master/Ordinal-Scales.md#category10>.- diagonal_kwds/hist_kwds/density_kwdsdict, optional
Keyword options for the diagonal plots
- datashadebool, default=False
Whether to apply rasterization and shading (colormapping) using the Datashader library, returning an RGB object instead of individual points
- rasterizebool, default=False
Whether to apply rasterization using the Datashader library, returning an aggregated Image (to be colormapped by the plotting backend) instead of individual points
- dynspreadbool, default=False
For plots generated with datashade=True or rasterize=True, automatically increase the point size when the data is sparse so that individual points become more visible. kwds supported include
max_px,threshold,shape,howandmask.- spreadbool, default=False
Make plots generated with datashade=True or rasterize=True increase the point size to make points more visible, by applying a fixed spreading of a certain number of cells/pixels. kwds supported include:
px,shape,howandmask.- **kwdsoptional
Keyword options for the off-diagonal plots and datashader’s spreading , optional
- Returns:
- objHoloViews object
The HoloViews representation of the plot.
See also
pandas.plotting.scatter_matrix()Equivalent pandas function.
Examples#
TBD