geosnap.analyze.ModelResults.plot_next_best_label¶
- ModelResults.plot_next_best_label(time_periods='all', ctxmap='default', figsize=None, nrows=None, ncols=None, save_fig=None, alpha=0.5, cmap='Set1', title='Next-Best Label', dpi=500, plot_kwargs=None, web_mercator=True)[source]¶
Plot the next-best cluster label for each unit as a choropleth map.
- Parameters:
- cmap
str, optional matplotlib colormap used to shade polygons
- title
str, optional title of figure.
- dpi
int, optional dpi of the saved image if save_fig=True default is 500
- web_mercatorbool, optional
whether to reproject the data into web mercator (epsg 3857) prior to plotting. Defaults to True
- ncols
int, optional number of columns in the figure if passing ncols, nrows must also be passed default is None
- nrows
int, optional number of rows in the figure if passing nrows, ncols must also be passed default is None
- figsize
tuple, optional the desired size of the matplotlib figure
- save_fig
str, optional path to save figure if desired.
- ctxmap
contextilymapprovider, optional contextily basemap. Set to False for no basemap. Default is Stamen.TonerLite
- alpha
int(optional) Transparency parameter passed to matplotlib
- cmap
- Returns:
matplotlib.Axesplot of next-best label assignments for each geographic unit