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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Python3 1==
Output :
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Python3
Output :
Now we will use
Python3 1==
Output :
As we can see in the output, the
Series.sort_values() function is used to sort the given series object in ascending or descending order by some criterion. The function also provides the flexibility of choosing the sorting algorithm.
Syntax: Series.sort_values(axis=0, ascending=True, inplace=False, kind='quicksort', na_position='last') Parameter : axis : Axis to direct sorting. ascending : If True, sort values in ascending order, otherwise descending. inplace : If True, perform operation in-place. kind : Choice of sorting algorithm. na_position : Argument ‘first’ puts NaNs at the beginning, ‘last’ puts NaNs at the end. Returns : SeriesExample #1: Use
Series.sort_values() function to sort the elements of the given series object in lexicographical order.
# importing pandas as pd
import pandas as pd
# Creating the Series
sr = pd.Series(['New York', 'Chicago', 'Toronto', 'Lisbon', 'Rio', 'Moscow'])
# Create the Datetime Index
didx = pd.DatetimeIndex(start ='2014-08-01 10:00', freq ='W',
periods = 6, tz = 'Europe/Berlin')
# set the index
sr.index = didx
# Print the series
print(sr)
Now we will use Series.sort_values() function to sort the elements of the given series object in ascending order.
# sort the values in ascending order
sr.sort_values()
As we can see in the output, the Series.sort_values() function has successfully sorted the elements of the given series object in ascending order.
Example #2: Use Series.sort_values() function to sort the elements of the given series object in descending order.
# importing pandas as pd
import pandas as pd
# Creating the Series
sr = pd.Series([19.5, 16.8, 22.78, 20.124, 18.1002])
# Print the series
print(sr)
Now we will use Series.sort_values() function to sort the elements of the given series object in descending order.
# sort the values in descending order
sr.sort_values(ascending = False)
As we can see in the output, the Series.sort_values() function has successfully sorted the elements of the given series object in descending order.