Python | Pandas Series.repeat()
Last Updated :
10 Feb, 2019
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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
Python3
Output :
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Output :
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Python3
Output :
Now we will use
Python3 1==
Output :
As we can see in the output, the
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_seriesExample #1: Use
Series.repeat()
function to repeat each value in the given Series object 2 times.
# 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)

Series.repeat()
function to repeat each value of the given series object 2 times.
# repeat twice
result = sr.repeat(repeats = 2)
# Print the result
print(result)

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.
# 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)

Series.repeat()
function to repeat each value of the given series object 3 times.
# repeat twice
result = sr.repeat(repeats = 3)
# Print the result
print(result)

Series.repeat()
function has returned a new series object where each values are repeated the specified number of times.