Apply sortbefore building
order = np.argsort(-z1)
x = np.take(x, order)
y = np.take(y, order)
z1 = np.take(z1, order)
z2 = np.take(z2, order)
The indicator using is alphamore readable.
import numpy as np
import matplotlib.pyplot as plt
def random_data(N):
return np.random.uniform(70., 250., N)
N = 1000
x = random_data(N)
y = random_data(N)
z1 = random_data(N)
z2 = random_data(N)
order = np.argsort(-z1)
x = np.take(x, order)
y = np.take(y, order)
z1 = np.take(z1, order)
z2 = np.take(z2, order)
cm = plt.cm.get_cmap('RdYlBu')
plt.scatter(x, y, s=z1, c=z2, cmap=cm, alpha=0.7)
plt.colorbar()
plt.show()
Output signal

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