With matplotlib
I am trying to plot 3D data as a 2D colormap. Each point has a x
and a y
coordinate, and a 'height' z
. This height should determine the color a certain x/y region is colored in.
Here is the code I have been trying:
import random
import numpy as np
import matplotlib.pyplot as plt
x = []
y = []
z = []
for index in range(100):
a = random.random()
b = random.random()
c = np.exp(-a*a - b*b)
x.append(a)
y.append(b)
z.append(c)
cmap = plt.get_cmap('PiYG')
fig, ax = plt.subplots()
ax.pcolormesh(x, y, z, cmap=cmap)
But it gives an error
ValueError: not enough values to unpack (expected 2, got 1)
Maybe I am trying the wrong thing?
Remark: The three lists x,y,z and calculated for the example above, but in reality I have just three lists with "random" numbers in it I want to vizualize. I cannot calculate z given x and y.
I could also use imshow
to create the plot I want, but I have to convert my original data into a matrix first. Maybe there is a function I can use?
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