Creating Series from list, dictionary, and numpy array in Pandas

Pandas Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, python objects, etc.). The axis labels are collectively called index. Pandas Series is nothing but a column in an excel sheet. In this article, we will see various ways of creating a series using different data types.

Creating Series from list 

The list of some values form the series of that values uses list index as series index.

Output :

0 G
1 E
2 E
3 K
4 S
5 F
6 O
7 R
8 G
9 E
10 E
11 K
12 S
dtype: object

Creating Series from dictionary

Dictionary of some key and value pair for the series of values taking keys as index of series.

Output :

G 2
E 4
K 2
S 2
F 1
O 1
R 1
dtype: int64

Creating Series from Numpy array

The 1-D Numpy array  of some values form the series of that values uses array index as series index.

Output :

0 G
1 E
2 E
3 K
4 S
5 F
6 O
7 R
8 G
9 E
10 E
11 K
12 S
dtype: object