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How to reshape Pandas Series?

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  • Last Updated : 01 Oct, 2020

In this article, we will see how to reshaping Pandas Series. So, for reshaping the Pandas Series we are using reshape() method of Pandas Series object.

Syntax: Pandas.Series.values.reshape((dimension))

Return: return an ndarray with the values shape if the specified shape matches exactly the current shape, then return self (for compat)

Let’s see some of the examples:

Example 1:

Python3




# import pandas library
import pandas as pd
  
# make an array
array = [2, 4, 6, 8, 10, 12]
  
# create a series
series_obj = pd.Series(array)
  
# convert series object into array
arr = series_obj.values
  
# reshaping series 
reshaped_arr = arr.reshape((3, 2))
  
# show 
reshaped_arr

Output:

Example 2:

Python3




# import pandas library
import pandas as pd
  
# make an array
array = ["ankit","shaurya",
         "shivangi", "priya",
         "jeet","ananya"]
  
# create a series
series_obj = pd.Series(array)
  
print("Given Series:\n", series_obj)
  
# convert series object into array
arr = series_obj.values
  
# reshaping series 
reshaped_arr = arr.reshape((2, 3))
  
# show 
print("After Reshaping: \n", reshaped_arr)

Output:


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