DiFfRG.plot

Attributes

cmap1
cmap2
palette1
palette2
palette3

Functions

clear_fig()
plot_1D(datasets[, xlabel, ylabel, ylim, xlim, log_x, ...])
scaled_triangulation(x, y[, log_x, log_y])	Delaunay-triangulate (x, y) in the coordinates the plot actually shows.
plot_2D(data[, cmap, xlabel, ylabel, zlabel, ylim, ...])

Module Contents

DiFfRG.plot.cmap1

DiFfRG.plot.cmap2

DiFfRG.plot.palette1

DiFfRG.plot.palette2

DiFfRG.plot.palette3

DiFfRG.plot.clear_fig()

DiFfRG.plot.plot_1D(datasets, xlabel=None, ylabel=None, ylim=None, xlim=None, log_x=False, log_y=False, file=None, modifiers=None, legend_loc='lower left', grid=False, force_legend=False, figsize=(6, 4), axstyle='normal')

DiFfRG.plot.scaled_triangulation(x, y, log_x=False, log_y=False)

Delaunay-triangulate (x, y) in the coordinates the plot actually shows.

A Delaunay triangulation of the raw coordinates degenerates into sliver triangles whenever the two axes span very different ranges, which shows up as jagged, streaky structure in the plot. Rescaling both axes to unit range (in log space for logarithmic axes) first avoids this; the connectivity found there is then used with the original coordinates.

DiFfRG.plot.plot_2D(data, cmap=cmap2, xlabel=None, ylabel=None, zlabel=None, ylim=None, xlim=None, zlim=None, log_x=False, log_y=False, log_z=False, file=None, modifiers=None, grid=False, style='triplot', angle_3d=(30, 30), aspect=None, figsize=(6, 4), axstyle='normal', levels=10)