release v1.0.25

pyscancf/SyedSpectral_RGB.txt

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pyscancf/cmapmaker.py

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+'''
+Colormap created using https://syedha.com/colormaps
+'''
+# import numpy as np
+# import matplotlib as mpl
+# import os
+
+
+# # Define colormap data
+# data_dir = os.path.split(__file__)[0]
+# syed_spectral_vals = np.genfromtxt(os.path.join(data_dir, 'SyedSpectral_RGB.txt'))
+# cmap_data = {
+#     'SyedSpectral': syed_spectral_vals,
+# }
+
+# # Register colormaps
+# for cmap_name, rgb_colors in cmap_data.items():
+#     # Normalize the RGB values to the range [0, 1]
+#     c = rgb_colors / 255.0
+
+#     # Create a ListedColormap
+#     cmap = mpl.colors.ListedColormap(c)
+
+#     # Register the colormap
+#     mpl.colormaps.register(cmap=cmap, name=cmap_name, force=True)
+
+# # Usage example:
+# if __name__ == "__main__":
+#     # Now you can use 'SyedSpectral' colormap in your plots
+#     pass
+
+
+import numpy as np
+import matplotlib as mpl
+import os
+
+def register_colormap(data_dir):
+    # Define colormap data
+    # data_dir = os.path.split(__file__)[0]
+    syed_spectral_vals = np.genfromtxt(os.path.join(data_dir, 'SyedSpectral_RGB.txt'))
+    cmap_data = {
+        'SyedSpectral': syed_spectral_vals,
+    }
+
+    # Register colormaps
+    for cmap_name, rgb_colors in cmap_data.items():
+        # Normalize the RGB values to the range [0, 1]
+        c = rgb_colors / 255.0
+
+        # Create a ListedColormap
+        cmap = mpl.colors.ListedColormap(c)
+
+        # Register the colormap
+        mpl.colormaps.register(cmap=cmap, name=cmap_name, force=True)
+
+# data_dir = os.path.split(__file__)[0]
+SyedSpectral = register_colormap(data_dir = os.path.split(__file__)[0])