more color maps

nifty2go/plotting/plot.py

@@ -129,9 +129,94 @@ def _register_cmaps():
                          (0.333, 0.5, 0.5),
                          (0.5, 0.0, 0.0),
                          (1.0, 1.0, 1.0)) }
+    fd_cmap = { 'red':  ((0.0, 0.35, 0.35),
+                         (0.1, 0.4, 0.4),
+                         (0.2, 0.25, 0.25),
+                         (0.41, 0.47, 0.47),
+                         (0.5, 0.8, 0.8),
+                         (0.56, 0.96, 0.96),
+                         (0.59, 1.0, 1.0),
+                         (0.74, 0.8, 0.8),
+                         (0.8, 0.8, 0.8),
+                         (0.9, 0.5, 0.5),
+                         (1.0, 0.4, 0.4)),
+                'green':((0.0, 0.0, 0.0),
+                         (0.2, 0.0, 0.0),
+                         (0.362, 0.88, 0.88),
+                         (0.5, 1.0, 1.0),
+                         (0.638, 0.88, 0.88),
+                         (0.8, 0.25, 0.25),
+                         (0.9, 0.3, 0.3),
+                         (1.0, 0.2, 0.2)),
+                'blue': ((0.0, 0.35, 0.35),
+                         (0.1, 0.4, 0.4),
+                         (0.2, 0.8, 0.8),
+                         (0.26, 0.8, 0.8),
+                         (0.41, 1.0, 1.0),
+                         (0.44, 0.96, 0.96),
+                         (0.5, 0.8, 0.8),
+                         (0.59, 0.47, 0.47),
+                         (0.8, 0.0, 0.0),
+                         (1.0, 0.0, 0.0)) }
+    fdu_cmap= { 'red':  ((0.0, 1.0, 1.0),
+                         (0.1, 0.8, 0.8),
+                         (0.2, 0.65, 0.65),
+                         (0.41, 0.6, 0.6),
+                         (0.5, 0.7, 0.7),
+                         (0.56, 0.96, 0.96),
+                         (0.59, 1.0, 1.0),
+                         (0.74, 0.8, 0.8),
+                         (0.8, 0.8, 0.8),
+                         (0.9, 0.5, 0.5),
+                         (1.0, 0.4, 0.4)),
+                'green':((0.0, 0.9, 0.9),
+                         (0.2, 0.65, 0.65),
+                         (0.362, 0.95, 0.95),
+                         (0.5, 1.0, 1.0),
+                         (0.638, 0.88, 0.88),
+                         (0.8, 0.25, 0.25),
+                         (0.9, 0.3, 0.3),
+                         (1.0, 0.2, 0.2)),
+                'blue': ((0.0, 1.0, 1.0),
+                         (0.1, 0.8, 0.8),
+                         (0.2, 1.0, 1.0),
+                         (0.41, 1.0, 1.0),
+                         (0.44, 0.96, 0.96),
+                         (0.5, 0.7, 0.7),
+                         (0.59, 0.42, 0.42),
+                         (0.8, 0.0, 0.0),
+                         (1.0, 0.0, 0.0)) }
+    pm_cmap = { 'red':  ((0.0, 1.0, 1.0),
+                         (0.1, 0.96, 0.96),
+                         (0.2, 0.84, 0.84),
+                         (0.3, 0.64, 0.64),
+                         (0.4, 0.36, 0.36),
+                         (0.5, 0.0, 0.0),
+                         (1.0, 0.0, 0.0)),
+                'green':((0.0, 0.5, 0.5),
+                         (0.1, 0.32, 0.32),
+                         (0.2, 0.18, 0.18),
+                         (0.3, 0.08, 0.08),
+                         (0.4, 0.02, 0.02),
+                         (0.5, 0.0, 0.0),
+                         (0.6, 0.02, 0.02),
+                         (0.7, 0.08, 0.08),
+                         (0.8, 0.18, 0.18),
+                         (0.9, 0.32, 0.32),
+                         (1.0, 0.5, 0.5)),
+                'blue': ((0.0, 0.0, 0.0),
+                         (0.5, 0.0, 0.0),
+                         (0.6, 0.36, 0.36),
+                         (0.7, 0.64, 0.64),
+                         (0.8, 0.84, 0.84),
+                         (0.9, 0.96, 0.96),
+                         (1.0, 1.0, 1.0)) }
 
     plt.register_cmap(cmap=LinearSegmentedColormap("Planck-like", planckcmap))
     plt.register_cmap(cmap=LinearSegmentedColormap("High Energy", he_cmap))
+    plt.register_cmap(cmap=LinearSegmentedColormap("Faraday Map", fd_cmap))
+    plt.register_cmap(cmap=LinearSegmentedColormap("Faraday Uncertainty", fdu_cmap))
+    plt.register_cmap(cmap=LinearSegmentedColormap("Plus Minus", pm_cmap))
 
 
 def plot(f, **kwargs):