How to reshape Pandas Series?
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 as pd
array = [ 2 , 4 , 6 , 8 , 10 , 12 ]
series_obj = pd.Series(array)
arr = series_obj.values
reshaped_arr = arr.reshape(( 3 , 2 ))
reshaped_arr
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Output:
Example 2:
Python3
import pandas as pd
array = [ "ankit" , "shaurya" ,
"shivangi" , "priya" ,
"jeet" , "ananya" ]
series_obj = pd.Series(array)
print ( "Given Series:\n" , series_obj)
arr = series_obj.values
reshaped_arr = arr.reshape(( 2 , 3 ))
print ( "After Reshaping: \n" , reshaped_arr)
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Output:
Last Updated :
01 Oct, 2020
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