CODEWITHSUNDEEP
pythonpandasnumpyencoding
dingaro
dingaro

Reputation: 2342

How to write some encoding function in Python Pandas?

I need to write a string encoding function that returns the output as follows:

encode_string("Jack000Jons000446") ➞ { "given_name": "Jack",
"family_name": "Jons",
"id": "446" 
} 
encode_string("Ann0funs003567") ➞ { "given_name": "Ann",
"family_name": "funs",
"id": "3567" 
}

Furthermore:

How can I write this type of function in Python Pandas/Numpy ?

Upvotes: 1

Views: 79

Answers (2)

Adon Bilivit
Adon Bilivit

Reputation: 26993

I'm going to rename the function because it's really decoding rather than encoding. Therefore:

import re
def decode_string(s):
    return dict(zip(['given_name','family_name','id'], re.split('0+',s)))
print(decode_string('Jack000Jons000446'))

Output:

{'given_name': 'Jack', 'family_name': 'Jons', 'id': '446'}

Upvotes: 1

BrokenBenchmark
BrokenBenchmark

Reputation: 19242

You can use re.split(), splitting the string on one or more zeroes. numpy and pandas aren't really necessary for solving the problem.

import re

def encode_string(s):
    given_name, family_name, id = re.split(r"0+", s)
    return {
        'given_name': given_name,
        'family_name': family_name,
        'id': id
    }

# Prints {'given_name': 'Jack', 'family_name': 'Jons', 'id': '446'}
print(encode_string("Jack000Jons000446"))

Upvotes: 2

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