pysteps.visualization¶

Methods for plotting precipitation and motion fields.

pysteps.visualization.animations¶

Functions to produce animations for pysteps.

animate(R_obs[, nloops, timestamps, R_fct, …])

Function to animate observations and forecasts in pysteps.

Methods for plotting geographical maps using Cartopy.

`plot_geography`(proj4str, extent[, lw, …])	Plot geographical map using cartopy_ in a chosen projection.
`plot_map_cartopy`(crs, extent, scale[, …])	Plot coastlines, countries, rivers and meridians/parallels using cartopy_.

Functions to plot motion fields.

`quiver`(UV[, ax, geodata, axis, step, …])	Function to plot a motion field as arrows.
`streamplot`(UV[, ax, geodata, axis, …])	Function to plot a motion field as streamlines.

Methods for plotting precipitation fields.

`plot_precip_field`(R[, type, geodata, units, …])	Function to plot a precipitation intensity or probability field with a colorbar.
`get_colormap`(type[, units, colorscale])	Function to generate a colormap (cmap) and norm.

Methods for plotting Fourier spectra.

plot_spectrum1d(fft_freq, fft_power[, …])

Function to plot in log-log a radially averaged Fourier spectrum.

Methods for plotting thunderstorm cells.

Created on Wed Nov 4 11:09:44 2020

@author: mfeldman

`plot_track`(track_list[, geodata])
`plot_cart_contour`(contours[, geodata])	Plots input image with identified cell contours.

Miscellaneous utility functions for the visualization module.

`parse_proj4_string`(proj4str)	Construct a dictionary from a PROJ.4 projection string.
`proj4_to_cartopy`(proj4str)	Convert a PROJ.4 projection string into a Cartopy coordinate reference system (crs) object.
`reproject_geodata`(geodata, t_proj4str[, …])	Reproject geodata and optionally create a grid in a new projection.