Python 3.6.1 :: Anaconda custom (64-bit)
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mtptlb
print (np.__version__)
1.12.1
print (mtptlb.__version__)
2.0.2
%matplotlib inline
a=np.random.uniform(1,100,1000000)
b=range(1,101)
plt.hist(a)
Why does the Y axis show 100000? np.random.uniform(1,100,1000000) has the value 1000000, so shouldn't it show 1000000 on y axis?
By default matplotlib.pyplot.hist uses 10 bins. So all your 1 million values are distributed into 10 bins. For a perfect uniform distribution you would expect that you have 100k occurrences (1 million divided by 10) in each bin.
You can change the number of bins, i.e.
a=np.random.uniform(1, 100, 1000000)
plt.hist(a, bins=100)
Here it's divided into 100 bins and because it's a uniform distribution all bins are roughly at 10000.
Or just one bin if you want a count of 1 000 000:
a=np.random.uniform(1, 100, 1000000)
plt.hist(a, bins=1)
