Matplotlib make color map have no transparency

Question

def visualize(goal_x, goal_y, goal_z, epoch_arr): # %% Create Color Map colormap = plt.get_cmap("binary") norm = matplotlib.colors.Normalize(vmin=min(epoch_arr), vmax=max(epoch_arr)) # %% 3D Plot fig = plt.figure() ax3D = fig.add_subplot(111, projection='3d') ax3D.set_facecolor('xkcd:salmon') ax3D.scatter(goal_x, goal_y, goal_z, s=100, c=colormap(norm(epoch_arr.values)), marker='o') plt.show()

The above code produces the following picture:

However, as you can see there is a point in the right side that is clearly still not 100% opaque. You can see the grid lines through the point. How do I make the scatter plot points 100% opaque, no transparency?

swatchai · Accepted Answer · 2019-02-21 05:58:01Z

Some tricks will help. Here I plot all the markers in white first, then plot again on top using the intended color.

import matplotlib import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D # make-up some data goal_x = list(range(10)) goal_y = list(range(10)) goal_z = list(range(10)) epoch_arr = np.linspace(0,1,10) fig = plt.figure(figsize=(8,8)) ax3D = fig.add_subplot(111, projection='3d') ax3D.set_facecolor('xkcd:salmon') # First plot: all markers are in white color ax3D.scatter(goal_x, goal_y, goal_z, s=500, c='w', marker='o', alpha=1.0, zorder=10) colormap = plt.get_cmap("binary") norm = matplotlib.colors.Normalize(vmin=min(epoch_arr), vmax=max(epoch_arr)) #ax3D.scatter(goal_x, goal_y, goal_z, s=100, c=colormap(norm(epoch_arr.values)), marker='o') # Second plot: use intended colormap ax3D.scatter(goal_x, goal_y, goal_z, s=500, c='b', marker='o', zorder=11) plt.show()

The resulting plot:

ImportanceOfBeingErnest · Accepted Answer · 2019-02-21 14:36:05Z

Setting alpha=1 should be enough.

ax3D.scatter(..., alpha=1)

Alternatively set depthshade=False

ax3D.scatter(..., depthshade=False)

The result will be the same in both cases.

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