I installed the 3.2.0rc3 package, and I can confirm that this fixes almost all the issues with autoscaling and scatter. However, if you have points with 0 for the y-axis and enable log scaling there is still an issue with the scatter plot auto scaling (that doesn't show up with the standard plot function).
import itertools
import numpy as np
from matplotlib import pyplot as plt
x_vals = [4.38462e-06,
5.54929e-06,
7.02332e-06,
8.88889e-06,
1.125e-05,
1.42383e-05,
1.80203e-05,
2.2807e-05,
2.88651e-05,
3.65324e-05,
4.62363e-05,
5.85178e-05,
7.40616e-05,
9.37342e-05,
0.000118632,
]
y_vals = [0.0,
0.10000000000000002,
0.182,
0.332,
0.604,
1.1,
2.0,
3.64,
6.64,
12.100000000000001,
22.0,
39.60000000000001,
71.3,
]
pts = np.array(list(itertools.product(x_vals, y_vals)))
fig = plt.figure("Scatter plot")
ax = fig.gca()
ax.set_xscale('log')
ax.set_yscale('log')
ax.scatter(pts[:,0], pts[:,1]) # This only shows four rows of points
fig = plt.figure("Regular plot")
ax = fig.gca()
ax.set_xscale('log')
ax.set_yscale('log')
ax.plot(pts[:,0], pts[:,1], marker="o", ls="") # This works
plt.show()Originally posted by @moloney in #6015 (comment)
I installed the 3.2.0rc3 package, and I can confirm that this fixes almost all the issues with autoscaling and
scatter. However, if you have points with 0 for the y-axis and enable log scaling there is still an issue with the scatter plot auto scaling (that doesn't show up with the standardplotfunction).Originally posted by @moloney in #6015 (comment)