Tags do not have to be unique, but must be hashable. The object supports both integer and label-based indexing and provides many methods for performing index operations.
Create empty series:
Basic series, which you can create, — this is an Empty Series.
|
|
Exit:
Series ([], dtype: float64)
Creating a series from an array:
To create a series from an array, we should import the numpy module and use the array () function.
|
|
Output:
Creating a series from an array with an index:
To create a series from an array with an index, we must provide an index with the same element number as in the array.
| |
Output:
Output: Output: Creating a series using numpy functions : import pandas as pd
# simple list list = [ ’g’ , ’ e’ , ’e’ , ’ k’ , ’s’ ]
# create series from the list ser = pd.Series ( list ) print (ser)
import pandas as pd import numpy as np
# giving a scalar value with an index ser = pd.Series ( 10 , index = [ 0 , 1 , 2 , 3 , 4 , 5 ]) print (ser) 
To create a series using numpy function, we can use various numpy functions such as numpy.linspace () , randn-python/ target=_blank> numpy.random.radn ( ) .
| |
Output:
