Series.str can be used to access the values of the series as strings and apply several methods to it. Pandas Series.str.decode() function is used to decode character string in the Series/Index using indicated encoding. This function is equivalent to str.decode() in python2 and bytes.decode() in python3.
Syntax: Series.str.decode(encoding, errors=’strict’)
Parameter :
encoding : str
errors : str, optionalReturns : decoded Series/Index of objects
Example #1: Use Series.str.decode() function to decode the character strings in the underlying data of the given series object. Use ‘UTF-8’ encoding method.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([b"b'New_York'", b"b'Lisbon'", b"b'Tokyo'", b"b'Paris'", b"b'Munich'"]) # Creating the index idx = ['City 1', 'City 2', 'City 3', 'City 4', 'City 5'] # set the index sr.index = idx # Print the series print(sr) |
Output :
Now we will use Series.str.decode() function to decode the character strings in the underlying data of the given series object.
# use 'UTF-8' encoding result = sr.str.decode(encoding = 'UTF-8') # print the result print(result) |
Output :
As we can see in the output, the Series.str.decode() function has successfully decodes the strings in the underlying data of the given series object.
Example #2 : Use Series.str.decode() function to decode the character strings in the underlying data of the given series object. Use ‘ASCII’ encoding method.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series([b'Mike-', b'Alessa-', b'Nick-', b'Kim-', b'Britney-']) # Creating the index idx = ['Name 1', 'Name 2', 'Name 3', 'Name 4', 'Name 5'] # set the index sr.index = idx # Print the series print(sr) |
Output :
Now we will use Series.str.decode() function to decode the character strings in the underlying data of the given series object.
# use 'ASCII' encoding result = sr.str.decode(encoding = 'ASCII') # print the result print(result) |
Output :
As we can see in the output, the Series.str.decode() function has successfully decodes the strings in the underlying data of the given series object.
