Skip to content
Related Articles

Related Articles

Improve Article

Create a Pandas Series from array

  • Difficulty Level : Easy
  • Last Updated : 07 Feb, 2019

Pandas Series is a one-dimensional labelled array capable of holding any data type (integers, strings, floating point numbers, Python objects, etc.). It has to be remembered that unlike Python lists, a Series will always contain data of the same type.

Let’s see how to create a Pandas Series from the array.

 Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.  

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning - Basic Level Course

Method #1:Create a series from array without index.



In this case as no index is passed, so by default index will be range(n) where n is array length.




# importing Pandas & numpy
import pandas as pd
import numpy as np
  
# numpy array
data = np.array(['a', 'b', 'c', 'd', 'e'])
  
# creating series
s = pd.Series(data)
print(s)
Output:
0    a
1    b
2    c
3    d
4    e
dtype: object

 
Method #2: Create a series from array with index.

In this case we will pass index as a parameter to the constructor.




# importing Pandas & numpy
import pandas as pd
import numpy as np
  
# numpy array
data = np.array(['a', 'b', 'c', 'd', 'e'])
  
# creating series
s = pd.Series(data, index =[1000, 1001, 1002, 1003, 1004])
print(s)
Output:
1000    a
1001    b
1002    c
1003    d
1004    e
dtype: object



My Personal Notes arrow_drop_up
Recommended Articles
Page :