Pandas series is a One-dimensional ndarray with axis labels. The labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index.
Pandas Series.reset_index() function generate a new DataFrame or Series with the index reset. This comes handy when index is need to be used as a column.
Syntax: Series.reset_index(level=None, drop=False, name=None, inplace=False)
Parameter :
level : For a Series with a MultiIndex
drop : Just reset the index, without inserting it as a column in the new DataFrame.
name : The name to use for the column containing the original Series values.
inplace : Modify the Series in placeReturns : result : Series
Example #1: Use Series.reset_index() function to reset the index of the given Series object.
# importing pandas as pdimport pandas as pd # Creating the Seriessr = pd.Series([10, 25, 3, 11, 24, 6]) # Create the Indexindex_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp'] # set the indexsr.index = index_ # Print the seriesprint(sr) |
Output :
Now we will use Series.reset_index() function to reset the index of the given series object.
# reset the indexresult = sr.reset_index() # Print the resultprint(result) |
Output :
As we can see in the output, the Series.reset_index() function has reset the index of the given Series object to default. It has preserved the index and it has converted it to a column.
Example #2: Use Series.reset_index() function to reset the index of the given Series object. Do not keep the original index labels of the given series object.
# importing pandas as pdimport pandas as pd # Creating the Seriessr = pd.Series([10, 25, 3, 11, 24, 6]) # Create the Indexindex_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp'] # set the indexsr.index = index_ # Print the seriesprint(sr) |
Output :
Now we will use Series.reset_index() function to reset the index of the given series object and also we will be dropping the original index labels.
# reset the indexresult = sr.reset_index(drop = True) # Print the resultprint(result) |
Output :
As we can see in the output, the Series.reset_index() function has reset the index of the given Series object to default. It has dropped the original index.
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
