Question

I have long text. And I’m converting this string to dict.

Here is code

data_dict = {}    
filter_dict = {}    
for each in text.split("\n"):
    temp = each.split('=')
    if len(temp) == 2:
        data_dict[temp[0]] = temp[1]
data = dict((k.strip(), v.strip()) for k, v in data_dict.iteritems())

Here is output which is convert from text to dict

 {'producer': 'Sailadhar Baruah', 
'image': 'paporithefilm.jpg', 
'distributor': '', 
'alt': '',
 'image size': '',
 'gross': '', 
 'writer': 'Jahnu Barua',
 'cinematography': 'Binod Pradhan', 
 'music': 'Satya Baruah P. P. Vidyanathan',
 'followed by': '', 
 'narrator': '', 
 'director': 'Jahnu Barua', 
 'released': '1986',
 'studio': 'Dolphin s Pvt. Ltd',
 'starring': 'Gopi Desai Biju Phukan Sushil Goswami Chetana Das Dulal Roy',
 'editing': '', 
 'name': 'Papori', 
 'language': 'Assamese languageAssamese', 
 'country': 'Assam, IND', 'budget': '', 
 'caption': 'A Screenshot',
 'preceded by': '', 
 'runtime': '144 minutes'}

I just want to know where is my last paragraph gone? Can I store last paragraph text to any varible? thanks

Answer 1

As has been pointed out, you are only matching when you have a key = value format. Try something like this instead.

text = file("text.txt", "r").readlines()

skip_keys = ('film', '')
data_dict = {}
for each in text:
    temp = [x.strip() for x in each.split('=')]
    if temp[0] in skip_keys:
        continue
    if len(temp) == 2:
        data_dict[temp[0]] = temp[1]
    else:
        data_dict['no_key'] = temp[0]
print data_dict

Here, your paragraph will be added to ‘no_key’. I started out my answer using a defaultdict from the collections module, and setting the value to be lists so you could track any unkeyed values, but, if your format is consistent, then the above should work.