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16 changes: 5 additions & 11 deletions meshplot/Viewer.py
Original file line number Diff line number Diff line change
Expand Up @@ -131,18 +131,14 @@ def __get_colors(self, v, f, c, sh):
colors[:, 1] = 0.874
colors[:, 2] = 0.0
elif type(c) == np.ndarray and c.size == f.shape[0]: # Function values for faces
normalize = sh["normalize"][0] != None and sh["normalize"][1] != None
cc = get_colors(c, sh["colormap"], normalize=normalize,
vmin=sh["normalize"][0], vmax=sh["normalize"][1])
cc = get_colors(c, sh["colormap"], vmin=sh["normalize"][0], vmax=sh["normalize"][1])
#print(cc.shape)
colors = np.hstack([cc, cc, cc]).reshape((-1, 3))
coloring = "FaceColors"
#print("Face function values")
print("Face function values")
elif type(c) == np.ndarray and c.size == v.shape[0]: # Function values for vertices
normalize = sh["normalize"][0] != None and sh["normalize"][1] != None
colors = get_colors(c, sh["colormap"], normalize=normalize,
vmin=sh["normalize"][0], vmax=sh["normalize"][1])
#print("Vertex function values")
colors = get_colors(c, sh["colormap"], vmin=sh["normalize"][0], vmax=sh["normalize"][1])
print("Vertex function values")
else:
colors = np.ones_like(v)
colors[:, 0] = 1.0
Expand All @@ -167,9 +163,7 @@ def __get_point_colors(self, v, c, sh):
elif type(c) == np.ndarray and len(c.shape) == 2 and c.shape[1] == 3 and c.shape[0] == v.shape[0]: # Point color
colors = c.astype("float32", copy=False)
elif type(c) == np.ndarray and c.size == v.shape[0]: # Function color
normalize = sh["normalize"][0] != None and sh["normalize"][1] != None
colors = get_colors(c, sh["colormap"], normalize=normalize,
vmin=sh["normalize"][0], vmax=sh["normalize"][1])
colors = get_colors(c, sh["colormap"], vmin=sh["normalize"][0], vmax=sh["normalize"][1])
colors = colors.astype("float32", copy=False)
#print("Vertex function values")
else:
Expand Down
4 changes: 2 additions & 2 deletions meshplot/utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,9 +3,9 @@
import matplotlib as mpl

# Helper functions
def get_colors(inp, colormap="viridis", normalize=True, vmin=None, vmax=None):
def get_colors(inp, colormap="viridis", vmin=None, vmax=None):
colormap = plt.cm.get_cmap(colormap)
if normalize:
if vmin==None or vmax==None:
vmin=np.min(inp)
vmax=np.max(inp)

Expand Down