Sample from two array coherently

samplefrom2.py

# x = ...
# y = ...
idx = np.random.choice(np.arange(len(x)), 1000, replace=False)
x_sample = x[idx]
y_sample = y[idx]
"""
a : 1-D array-like or int
If an ndarray, a random sample is generated from its elements. If an int, the random sample is generated as if a was np.arange(n)
size : int or tuple of ints, optional
Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. Default is None, in which case a single value is returned.
replace : boolean, optional
Whether the sample is with or without replacement
p : 1-D array-like, optional
The probabilities associated with each entry in a. If not given the sample assumes a uniform distribution over all entries in a.
"""