Python | Pandas Series.repeat() Last Updated : 10 Feb, 2019 Summarize Comments Improve Suggest changes Share Like Article Like Report 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.repeat() function repeat elements of a Series. It returns a new Series where each element of the current Series is repeated consecutively a given number of times. Syntax: Series.repeat(repeats, axis=None) Parameter : repeats : The number of repetitions for each element. axis : None Returns : repeated_series Example #1: Use Series.repeat() function to repeat each value in the given Series object 2 times. Python3 # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([10, 25, 3, 11, 24, 6]) # Create the Index index_ = ['Coca Cola', 'Sprite', 'Coke', 'Fanta', 'Dew', 'ThumbsUp'] # set the index sr.index = index_ # Print the series print(sr) Output : Now we will use Series.repeat() function to repeat each value of the given series object 2 times. Python3 1== # repeat twice result = sr.repeat(repeats = 2) # Print the result print(result) Output : As we can see in the output, the Series.repeat() function has returned a new series object where each values are repeated the specified number of times. Example #2 : Use Series.repeat() function to repeat each value in the given Series object 3 times. Python3 # importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio']) # Create the Index index_ = ['City 1', 'City 2', 'City 3', 'City 4', 'City 5'] # set the index sr.index = index_ # Print the series print(sr) Output : Now we will use Series.repeat() function to repeat each value of the given series object 3 times. Python3 1== # repeat twice result = sr.repeat(repeats = 3) # Print the result print(result) Output : As we can see in the output, the Series.repeat() function has returned a new series object where each values are repeated the specified number of times. Comment More infoAdvertise with us Next Article Python Pandas Series S Shubham__Ranjan Follow Improve Article Tags : Pandas Python-pandas Python pandas-series-methods AI-ML-DS With Python Similar Reads Python | Pandas Series.str.repeat() Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages and makes importing and analyzing data much easier.Pandas str.repeat() method is used to repeat string values in the same position of pass 3 min read Python | Pandas Series.replace() 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.replace() function is used to 3 min read Python | Pandas Series.radd() 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.radd() function perform the a 2 min read Python | Pandas Series.ravel() 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.ravel() function returns the 2 min read Python Pandas Series Pandas Series is a one-dimensional labeled array that can hold data of any type (integer, float, string, Python objects, etc.). It is similar to a column in an Excel spreadsheet or a database table. In this article we will study Pandas Series a powerful one-dimensional data structure in Python.Key F 5 min read Python | Pandas Series.reset_index() 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 genera 2 min read Like