# Python : Basic statistics with the numpy module

The numpy module features some useful functions for statistics, like “mean()” and “median()”:

https://docs.scipy.org/doc/numpy/reference/routines.statistics.html

For example let´s consider a 2D array with age and height of some people and print out some statistics:

```#! /usr/bin/env python
import numpy as np

#age, height in meters
person = [[11,1.56],[4, 0.80], [44, 1.88], [23, 1.68], [55, 1.74]]

np_person = np.array(person)

print(np_person)

age = np_person[:,0]

height = np_person[:,1]

#average
print("average age: " + str(np.mean(age)))
print("average height: " + str(np.mean(height)))

#the standard deviation is also rounded to two decimals only.
std_height= round(np.std(height),2)

print("standard deviation of the height: "+ str(std_height))

#correlation
corr = np.corrcoef(np_person[:,0], np_person[:,1])
print("Correlation: " + str(corr))
```

The code can be also found on github:
https://github.com/lauraliparulo/python-scripts/blob/master/statistics/person_stats.py