Numpy

numpy_statistical_functions1.py

import numpy as np

a = np.arange(6).reshape((3,2))
print(a)

#[Output]:
#array([[0, 1],
#       [2, 3],
#       [4, 5]])

## amin() function to find minimum in array.
## Similarly we can go for amax() to find maximum
## Return minimum along flattened array.

print(np.amin(a))

#[Output]:
#0

## Minimum along columns
np.amin(a,axis=0)

#[Output]:
#array([0, 1])

##Minimum along rows
np.amax(a,axis=1)

#[Output]:
#array([1, 3, 5])

## percentile() function to find percentile along the specified axis
np.percentile(a,q=0)

#[Output]:
#0.0

print(np.percentile(a,q=50))
print(np.percentile(a,q=50,axis=0))

#[Output]:
#2.5
#[2. 3.]

np.percentile(a,q=100)

#[Output]:
#5.0