towerpy.datavis.tpy_cm#

Towerpy: an open-source toolbox for processing polarimetric radar data.

Attributes#

Functions#

plot_color_gradients(category, cmap_list)

Plot data with the associated colormaps.

plot_examples(colormaps[, vmin, vmax])

Plot random data to depict the colormaps.

plot_color_gradients_grayscale(cmap_list)

Plot random data to depict the colormaps in grayscale.

plot_color_gradients_cvd(cmap_list[, cvd_type, severity])

Plot random data to depict the colormaps for CVD.

Module Contents#

towerpy.datavis.tpy_cm.plot_color_gradients(category, cmap_list)[source]#

Plot data with the associated colormaps.

Parameters#

categoryTYPE

DESCRIPTION.

cmap_listTYPE

DESCRIPTION.

Returns#

None.

towerpy.datavis.tpy_cm.plot_examples(colormaps, vmin=-5, vmax=5)[source]#

Plot random data to depict the colormaps.

Parameters#

colormapsTYPE

DESCRIPTION.

vminTYPE, optional

DESCRIPTION. The default is -5.

vmaxTYPE, optional

DESCRIPTION. The default is 5.

Returns#

None.

towerpy.datavis.tpy_cm.plot_color_gradients_grayscale(cmap_list)[source]#

Plot random data to depict the colormaps in grayscale.

Parameters#

cmap_listTYPE

DESCRIPTION.

Returns#

None.

towerpy.datavis.tpy_cm.plot_color_gradients_cvd(cmap_list, cvd_type='protanomaly', severity=100)[source]#

Plot random data to depict the colormaps for CVD.

Parameters#

cmap_listlist

DESCRIPTION.

cvd_typestr, optional

DESCRIPTION. The default is ‘protanomaly’.

severityfloat or int, optional

DESCRIPTION. The default is 100.

Returns#

None.

towerpy.datavis.tpy_cm.tpy_LSC[source]#
towerpy.datavis.tpy_cm.tpy_LC[source]#
towerpy.datavis.tpy_cm.tpy_LSC_r[source]#
towerpy.datavis.tpy_cm.tpy_LC_r[source]#
towerpy.datavis.tpy_cm.fname[source]#
towerpy.datavis.tpy_cm.fname[source]#
towerpy.datavis.tpy_cm.fname[source]#
towerpy.datavis.tpy_cm.fname[source]#