plots

This module provides functions related to plot or to plot data.

center_colorbar(cb[, center])	Center a diverging colorbar.
channels(met_mm_backend[, ylim, ax])	Plot instrument channels for passband-type sensors.
cmap2act(cmap[, filename, N])	Export colormap to Adobe Color Table file.
cmap2c3g(cmap[, filename, N])	Export colormap ass CSS3 gradient.
cmap2cpt(cmap[, filename, N])	Export colormap to cpt file.
cmap2ggr(cmap[, filename, N])	Export colormap as GIMP gradient.
cmap2rgba([cmap, N, interpolate])	Convert a colormap into a list of RGBA values.
cmap2txt(cmap[, filename, N, comments])	Export colormap to txt file.
cmap_from_act(file[, name])	Import colormap from Adobe Color Table file.
cmap_from_txt(file[, name, N, comments])	Import colormap from txt file.
colored_bars(x, y[, c, cmap, vmin, vmax, ax])	Plot a colorized series of bars.
colors2cmap(*args[, name])	Create a colormap from a list of given colors.
figsize(w[, portrait])	Return a figure size matching the golden ratio.
get_subplot_arrangement(n)	Get efficient (nrow, ncol) for n subplots
get_material_design(name[, shade])	Return material design colors.
heatmap(x, y[, bins, bisectrix, ax])	Plot a heatmap of two data arrays.
HectoPascalFormatter()	Creates hectopascal labels for pascal input.
HectoPascalLogFormatter([base, ...])	Creates logarithmic hectopascal labels for pascal input.
label_axes([axes, labels, loc])	Walks through axes and labels each.
plot_bitfield(ax, X, Y, bitfield, flag_dict, ...)	Plot a bitfield of categories with pcolor
plot_distribution_as_percentiles(ax, x, y[, ...])	Plot the distribution of y vs.
profile_p(p, x[, ax])	Plot atmospheric profile against pressure in linear space.
profile_p_log(p, x[, ax])	Plot atmospheric profile against pressure in log space.
profile_z(z, x[, ax])	Plot atmospheric profile of arbitrary property against height (in km).
ScalingFormatter([scaling, fmtstr])	Provide a ticklabel formatter that applies scaling.
scatter_density_plot_matrix([M, hist_kw, ...])	Plot a scatter density plot matrix
set_colorbar_limits(cb[, vmin, vmax])	Set colorbar limits.
set_xaxis_formatter(formatter[, ax])	Set given formatter for major and minor xticks.
set_yaxis_formatter(formatter[, ax])	Set given formatter for major and minor yticks.
sorted_legend_handles_labels([ax, key, reverse])	Sort legend labels and handles.
styles	Handle matplotlib stylesheets shipped with typhon.
supcolorbar(mappable[, fig, right, rect])	Create a common colorbar for all subplots in a figure.
plot_ppath(ppath[, planetary_radius, ...])	Return the ARTS Ppath plotted on the surface
plot_ppath_field(ppath_field[, ...])	Return the ARTS Ppath plotted on the surface
ppath_field_minmax_posbox(ppath_field)	Return the minimum and maximum of all pos variables of ppath_field
adjust_ppath_field_box_by_minmax(axes, ...)	Adjusts the axis of plotted ppath_field to
plot_ppath_field_zenith_coverage_per_gp_p(...)	Plots the zenith angle coverage of a ppath_field for all the altitudes in the field.

Typhon named colors

Typhon provides a number of named colors that can be used after importing typhon.plots:

>>> plt.plot(x, y, color='ty:uhh-red')

(Source code, png, hires.png, pdf)

Typhon style sheet

Typhon provides a number of style sheets that can be used to alter the default appearance of matplotlib plots.

>>> plt.style.use(typhon.plots.styles.get('typhon'))

(Source code)

Fig. 13 (png, hires.png, pdf)

Fig. 14 (png, hires.png, pdf)

Fig. 15 (png, hires.png, pdf)