Python | Pandas Series.str.encode ()

Опубликовано: 27 Марта, 2022

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, optional
Returns : 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.

Выход :

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)

Выход :

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)

Выход :

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)

Выход :

As we can see in the output, the Series.str.encode() function has successfully encoded the strings in the given series object.

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Python | Pandas Series.str.encode ()

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