﻿ Pandas Data Series: Create the mean and standard deviation of the data of a given Series - w3resource # Python Pandas: Create the mean and standard deviation of the data of a given Series

## Python Pandas: Data Series Exercise-15 with Solution

Write a Pandas program to create the mean and standard deviation of the data of a given Series.

Sample Solution :

Python Code :

``````import pandas as pd
s = pd.Series(data = [1,2,3,4,5,6,7,8,9,5,3])
print("Original Data Series:")
print(s)
print("Mean of the said Data Series:")
print(s.mean())
print("Standard deviation of the said Data Series:")
print(s.std())
``````

Sample Output:

```Original Data Series:
0     1
1     2
2     3
3     4
4     5
5     6
6     7
7     8
8     9
9     5
10    3
dtype: int64
Mean of the said Data Series:
4.81818181818
Standard deviation of the said Data Series:
2.52262489555
```

Python Code Editor:

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## Python: Tips of the Day

Python: Membership Testing in a Collection

```>>> a = ('one', 'two', 'three', 'four', 'five')
>>> if 'one' in a:
...     print('The tuple contains one.')
...
The tuple contains one.
>>> b = {0: 'zero', 1: 'one', 2: 'two', 3: 'three'}
>>> if 2 in b.keys():
...     print('The dict has the key of 2.')
...
The dict has the key of 2.
```