Convert a python dict to a string and back

Question

I am writing a program that stores data in a dictionary object, but this data needs to be saved at some point during the program execution and loaded back into the dictionar

Answer 1

If your dictionary isn't too big maybe str + eval can do the work:

dict1 = {'one':1, 'two':2, 'three': {'three.1': 3.1, 'three.2': 3.2 }}
str1 = str(dict1)

dict2 = eval(str1)

print dict1==dict2

You can use ast.literal_eval instead of eval for additional security if the source is untrusted.

Answer 2

If in Chinses

import codecs
fout = codecs.open("xxx.json", "w", "utf-8")
dict_to_json = json.dumps({'text':"中文"},ensure_ascii=False,indent=2)
fout.write(dict_to_json + '\n')

Answer 3

If you care about the speed use ujson (UltraJSON), which has the same API as json:

import ujson
ujson.dumps([{"key": "value"}, 81, True])
# '[{"key":"value"},81,true]'
ujson.loads("""[{"key": "value"}, 81, true]""")
# [{u'key': u'value'}, 81, True]

Answer 4

I think you should consider using the shelve module which provides persistent file-backed dictionary-like objects. It's easy to use in place of a "real" dictionary because it almost transparently provides your program with something that can be used just like a dictionary, without the need to explicitly convert it to a string and then write to a file (or vice-versa).

The main difference is needing to initially open() it before first use and then close() it when you're done (and possibly sync()ing it, depending on the writeback option being used). Any "shelf" file objects create can contain regular dictionaries as values, allowing them to be logically nested.

Here's a trivial example:

import shelve

shelf = shelve.open('mydata')  # open for reading and writing, creating if nec
shelf.update({'one':1, 'two':2, 'three': {'three.1': 3.1, 'three.2': 3.2 }})
shelf.close()

shelf = shelve.open('mydata')
print shelf
shelf.close()

Output:

{'three': {'three.1': 3.1, 'three.2': 3.2}, 'two': 2, 'one': 1}

Answer 5

Use the pickle module to save it to disk and load later on.

Answer 6

I use json:

import json

# convert to string
input = json.dumps({'id': id })

# load to dict
my_dict = json.loads(input)