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 libraryimport pandas as pd # make an arrayarray = [2, 4, 6, 8, 10, 12] # create a seriesseries_obj = pd.Series(array) # convert series object into arrayarr = series_obj.values # reshaping series reshaped_arr = arr.reshape((3, 2)) # show reshaped_arr |
Output:
Example 2:
Python3
# import pandas libraryimport pandas as pd # make an arrayarray = ["ankit","shaurya", "shivangi", "priya", "jeet","ananya"] # create a seriesseries_obj = pd.Series(array) print("Given Series:\n", series_obj) # convert series object into arrayarr = series_obj.values # reshaping series reshaped_arr = arr.reshape((2, 3)) # show print("After Reshaping: \n", reshaped_arr) |
Output:
