Adding crameri colormaps

colormaps/crameri/ScientificColourMaps8/+TOOLS/__init__.py

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+"""
+    ScientificColourMaps7
+
+    Usage
+    -----
+    import ScientificColourMaps5 as SCM5
+    plt.imshow(data, cmap=SCM5.berlin)
+
+    Available colourmaps
+    ---------------------
+    acton, bam, bamako, bamO, batlow, batlowK, batlowW, 
+    berlin, bilbao, broc, brocO, buda, bukavu, cork, corkO,
+    davos, devon, fes, grayC, hawaii, imola, lajolla, lapaz,
+    lisbon, nuuk, oleron, oslo, roma, romaO,tofino, tokyo,
+    turku, vanimo, vik, vikO
+"""
+import os
+import numpy as np
+import matplotlib.pyplot as plt
+from matplotlib.colors import LinearSegmentedColormap
+
+folder = os.path.abspath(os.path.dirname(os.path.abspath(__file__)))
+
+__all__ = {'acton', 'bam', 'bamako', 'bamO', 'batlow', 'batlowK', 'batlowW', 'berlin', 'bilbao', 'broc',
+	   'brocO', 'buda', 'bukavu', 'cork', 'corkO',
+           'davos', 'devon', 'fes', 'grayC', 'hawaii', 'imola', 'lajolla',
+           'lapaz', 'lisbon', 'nuuk', 'oleron', 'oslo', 'roma', 'romaO', 'tofino',
+           'tokyo', 'turku', 'vanimo', 'vik', 'vikO'}
+
+for name in __all__:
+    file = os.path.join(folder, name, name + '.txt')
+    cm_data = np.loadtxt(file)
+    vars()[name] = LinearSegmentedColormap.from_list(name, cm_data)
+    vars()[name + '_r'] = LinearSegmentedColormap.from_list(name + '_r', np.flip(cm_data, axis=0))

colormaps/crameri/ScientificColourMaps8/acton/CategoricalPalettes/actonS.act

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colormaps/crameri/ScientificColourMaps8/acton/CategoricalPalettes/actonS.alut

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colormaps/crameri/ScientificColourMaps8/acton/CategoricalPalettes/actonS.clm

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