Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import numpy as np
- import pylab
- test1 = np.random.normal(0, 1, 1000)
- test2 = np.random.normal(0, 1, 800)
- #Calculate quantiles
- test1.sort()
- quantile_levels1 = np.arange(len(test1),dtype=float)/len(test1)
- test2.sort()
- quantile_levels2 = np.arange(len(test2),dtype=float)/len(test2)
- #Use the smaller set of quantile levels to create the plot
- quantile_levels = quantile_levels2
- #We already have the set of quantiles for the smaller data set
- quantiles2 = test2
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement