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Create a Pandas Series from array

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

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
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