Series.str can be used to access the values of the series as strings and apply several methods to it. Pandas Series.str.encode() function is used to encode character string in the Series/Index using indicated encoding. Equivalent to str.encode().
Syntax: Series.str.encode(encoding, errors=’strict’)
Parameter :
encoding : str
errors : str, optionalReturns : encoded : Series/Index of objects
Example #1: Use Series.str.encode() function to encode the character strings present in the underlying data of the given series object. Use ‘raw_unicode_escape’ for encoding.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['New_York', 'Lisbon', 'Tokyo', 'Paris', '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.encode() function to encode the character strings present in the underlying data of the given series object.
# use 'raw_unicode_escape' encoding result = sr.str.encode(encoding = 'raw_unicode_escape') # print the result print(result) |
Output :
As we can see in the output, the Series.str.encode() function has successfully encoded the strings in the given series object.
Example #2 : Use Series.str.encode() function to encode the character strings present in the underlying data of the given series object. Use ‘punycode’ for encoding.
# importing pandas as pd import pandas as pd # Creating the Series sr = pd.Series(['Mike', 'Alessa', 'Nick', 'Kim', '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.encode() function to encode the character strings present in the underlying data of the given series object.
# use 'punycode' encoding result = sr.str.encode(encoding = 'punycode') # print the result print(result) |
Output :
As we can see in the output, the Series.str.encode() function has successfully encoded the strings in the given series object.
