如何将列表更改为字典

Question

I am currently working with an API in python and trying to retrieve previous institution ID's from certain authors.

I have come to this point

my_auth.hist_names['affiliation']

which outputs:

[{'@_fa': 'true',
  '@id': '60016491',
  '@href': 'http://api.elsevier.com/content/affiliation/affiliation_id/60016491'},
 {'@_fa': 'true',
  '@id': '60023955',
  '@href': 'http://api.elsevier.com/content/affiliation/affiliation_id/60023955'},
 {'@_fa': 'true',
  '@id': '109604360',
  '@href': 'http://api.elsevier.com/content/affiliation/affiliation_id/109604360'},
 {'@_fa': 'true',
  '@id': '112377026',
  '@href': 'http://api.elsevier.com/content/affiliation/affiliation_id/112377026'},
 {'@_fa': 'true',
  '@id': '112678642',
  '@href': 'http://api.elsevier.com/content/affiliation/affiliation_id/112678642'},
 {'@_fa': 'true',
  '@id': '60031106',
  '@href': 'http://api.elsevier.com/content/affiliation/affiliation_id/60031106'}]

The type here is list.

I'd like to use this list as a dictionary to retrieve the '@id' section

Answer 1

One simple way to do this is to use list comprehension, which creates a new list based upon elements of an iterable. An implementation using this could be:

ids = [item['@id'] for item in my_auth.hist_names['affiliation']]

This would create a list that contains each value associated with the @id key.

Answer 2

You can simple load the list of dicts as dataframe with pandas

import pandas as pd
my_auth.hist_names['affiliation']
df = pd.Dataframe(my_auth.hist_names['affiliation'])
print(df['@id'])

In this way you obtain a dataset in which every row is a dictionary of your list, and you can index by column your '@id'

with pd.Dataframe(my_auth.hist_names['affiliation']), you obtain

   @_fa        @id                                              @href
0  true   60016491  http://api.elsevier.com/content/affiliation/af...
1  true   60023955  http://api.elsevier.com/content/affiliation/af...
2  true  109604360  http://api.elsevier.com/content/affiliation/af...
3  true  112377026  http://api.elsevier.com/content/affiliation/af...
4  true  112678642  http://api.elsevier.com/content/affiliation/af...
5  true   60031106  http://api.elsevier.com/content/affiliation/af...

and for df['@id'], your ids

0     60016491
1     60023955
2    109604360
3    112377026
4    112678642
5     60031106
Name: @id, dtype: object

Answer 3

The data is in JSON format, and you can use python's json library to process them.

https://www.geeksforgeeks.org/python-convert-string-dictionary-to-dictionary/

import json
result_dict = json.load(given_string)