Working with HTTP Headers in Pandas can be tricky, this snippet usually works for me to handle that task.

pandas-http-headers.py

# author: @Daniel_Abeles
# date:   10/05/2017

import numpy as np
import pandas as pd

class Headers(object):
    ''' Represents a header list '''
    
    __slots__ = ['_headers', '_key']
    
    def __init__(self, headers_string, delim='[NL]'):
        self._headers = tuple(headers_string.split(delim)[:-1])
        self._key = headers_string
        
    def __hash__(self):
        return hash(self._key)
    
    def __repr__(self):
        return repr(self._headers)
    
    def __eq__(self, other):
        return hash(self) == hash(other)
    
    def __iter__(self):
        return iter(self._headers)
    
    def __getitem__(self, header_name):
        if isinstance(header_name, int):
            return self._headers[header_name]
        
        for header in self._headers:
            name, _, value = header.partition(': ')
            if name == header_name:
                return value
            
        raise KeyError(f'The header name: "{header_name}" does not exists!')
    
    @staticmethod
    def from_string(headers_string, delim='[NL]'):
        if headers_string is np.nan:
            return np.nan
        
        return Headers(headers_string)