How-to: Display the colourmaps availabe in Towerpy and convert to Greyscale.

Daniel Sanchez-Rivas¹ and Miguel A. Rico-Ramirez²

¹Department of Meteorology, University of Bonn, Bonn, 53121, DE

²Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, United Kingdom

This notebook describes the process to display the colourmaps available in Towerpy.

Import relevant packages

import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
import numpy as np
import towerpy as tp

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
Cell In[1], line 1
----> 1 import matplotlib as mpl
      2 import matplotlib.pyplot as plt
      3 import matplotlib.colors as mcolors

ModuleNotFoundError: No module named 'matplotlib'

Read-in the Towerpy colourmaps

First, we’ll read the colourmaps available in Towerpy.

tpcm = list(mpl.colormaps)
tpcm[:] = [i for i in tpcm if i.startswith('tpy')]

# Create a list of Radar-related colourmaps
tp_rad_lsc = [i for i in tpcm if 'rad' in i and 'lsc' in i]
tp_rad_lc = [i for i in tpcm if 'rad' in i and 'lc' in i]

# Create a list of Diverging colourmaps
tp_div_lsc = [i for i in tpcm if 'div' in i and 'lsc' in i]
tp_div_lc = [i for i in tpcm if 'div' in i and 'lc' in i]

# Create a list of Perceptually Uniform Sequential colourmaps
tp_unfseq_lsc = [i for i in tpcm if 'useq' in i and 'lsc' in i]
tp_unfseq_lc = [i for i in tpcm if 'useq' in i and 'lc' in i]

We will use the Greyscale conversion ¹ described in the Matplotlib documentationfor performing greyscale conversions. Please refer to their webpage for more details on the greyscale simulation process.

cm2plot = tp_rad_lsc

tp.datavis.tpy_cm.plot_color_gradients_grayscale(cm2plot[:int(len(cm2plot)/2)])

cm2plot = tp_div_lsc

tp.datavis.tpy_cm.plot_color_gradients_grayscale(cm2plot[:int(len(cm2plot)/2)])

cm2plot = tp_unfseq_lsc

tp.datavis.tpy_cm.plot_color_gradients_grayscale(cm2plot[:int(len(cm2plot)/2)])

Finally, we plot a sequential colourmap to show the greyscale conversion.

tp.datavis.tpy_cm.plot_examples([tp_unfseq_lsc[2], tp_unfseq_lsc[13]])


tp.datavis.tpy_cm.plot_color_gradients_grayscale([tp_unfseq_lsc[2], tp_unfseq_lsc[13]])

References

Matplotlib Grayscale conversion-Classes of colormaps https://matplotlib.org/stable/users/explain/colors/colormaps.html#grayscale-conversion