I have a 3D Plot that I created using matplotlib, and I have a list of rbg values that correspond to each point.
I have the X, Y, and Z data, and then I have a "color list" of the form:
[ (r,g,b), (r,g,b), ... , (r,g,b) ]
to match each (x, y, z) point.
Right now, I have
fig = plt.figure()
ax = fig.add_subplot(111, projection = '3d')
ax.scatter(X, Y, Z)
plt.show()
What's the appropriate way to incorporate those rgb tuples so that each point will be assigned a specific color?
I used a for
loop to individually assign each color to each point. Here is my code:
X = [1, 2, 3]
Y = [2, 5, 8]
Z = [6, 4, 5]
colors=["#0000FF", "#00FF00", "#FF0066"]
fig = plt.figure()
ax = fig.add_subplot(111, projection = '3d')
for i in range(len(X)):
ax.scatter(X[i], Y[i], Z[i], color=colors[i])
plt.show()
The for
loop goes point by point (hence the [i]
in front of each X,Y,Z value) and gives a color one by one. I used hex colors for my example, but you could probably use something else if you wanted.