## Algorithm

Problem Name: Python - Mean, Var, and Std

In this HackerRank Functions in PYTHON problem solution,

mean

The mean tool computes the arithmetic mean along the specified axis.

``````import numpy

my_array = numpy.array([ [1, 2], [3, 4] ])

print numpy.mean(my_array, axis = 0)        #Output : [ 2.  3.]
print numpy.mean(my_array, axis = 1)        #Output : [ 1.5  3.5]
print numpy.mean(my_array, axis = None)     #Output : 2.5
print numpy.mean(my_array)                  #Output : 2.5
``````

By default, the axis is `None`. Therefore, it computes the mean of the flattened array.

var

The var tool computes the arithmetic variance along the specified axis.

``````import numpy

my_array = numpy.array([ [1, 2], [3, 4] ])

print numpy.var(my_array, axis = 0)         #Output : [ 1.  1.]
print numpy.var(my_array, axis = 1)         #Output : [ 0.25  0.25]
print numpy.var(my_array, axis = None)      #Output : 1.25
print numpy.var(my_array)                   #Output : 1.25
``````

By default, the axis is `None`. Therefore, it computes the variance of the flattened array.

std

The std tool computes the arithmetic standard deviation along the specified axis.

``````import numpy

my_array = numpy.array([ [1, 2], [3, 4] ])

print numpy.std(my_array, axis = 0)         #Output : [ 1.  1.]
print numpy.std(my_array, axis = 1)         #Output : [ 0.5  0.5]
print numpy.std(my_array, axis = None)      #Output : 1.11803398875
print numpy.std(my_array)                   #Output : 1.11803398875
``````

By default, the axis is `None`. Therefore, it computes the standard deviation of the flattened array.

You are given a 2-D array of size N * M.

1. The mean along axis 1.
2. The var along axis 0
3. The std along axis None

Input Format

The first line contains the space separated values of N and M.

The next N lines contains M space separated integers.

Output Format

First, print the mean.
Second, print the var.
Third, print the std.

Sample Input

``````2 2
1 2
3 4
``````

Sample Output

``````[ 1.5  3.5]
[ 1.  1.]
1.11803398875
``````

## Code Examples

### #1 Code Example with Python Programming

```Code - Python Programming```

``````
import numpy
space, _ = map(int, input().split(' '))
arr = []
for i in range(space):
line = list(map(int, input().split(' ')))
arr.append(line)

arr = numpy.array(arr)
print(numpy.mean(arr, axis=1))
print(numpy.var(arr, axis=0))
print(round(numpy.std(arr, axis=None),11))
``````
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