Random numbers that follow a linear drop distribution in Python

I'd like to generate random numbers that follow a dropping linear frequency distribution, take n=1-x for an example.

The numpy library however seems to offer only more complex distributions.

So, it turns out you can totally use random.triangular(0,1,0) for this. See documentation here: https://docs.python.org/2/library/random.html

random.triangular(low, high, mode)

Return a random floating point number N such that low <= N <= high and with the specified mode between those bounds.

Histogram made with matplotlib:

import matplotlib.pyplot as plt
import random
bins = [0.1 * i for i in range(12)]
plt.hist([random.triangular(0,1,0) for i in range(2500)], bins)