Loading a list of dict into a dataframe

I have a list of dictionary like this, wanted to load this into a data frame for a couple of Keys in the object.

The data frame I would like looks like

ID — retweet_count — favorite_count

tweet_list = ['{"created_at": "Tue Aug 01 00:17:27 +0000 2017", "id": 892177421306343426, "id_str": "892177421306343426", "full_text": "This is Tilly. She\'s just checking pup on you.", "truncated": false, "display_text_range": [0, 138], "contributors": null, "is_quote_status": false, "retweet_count": 6514, "favorite_count": 33819, "favorited": false, "retweeted": false, "possibly_sensitive": false, "possibly_sensitive_appealable": false, "lang": "en"}',
 '{"created_at": "Sun Jul 30 15:58:51 +0000 2017", "id": 891689557279858688, "id_str": "891689557279858688", "full_text": "This is Darla. She commenced a snooze mid meal.", "truncated": false, "display_text_range": [0, 79], "entities": {"hashtags": [], "symbols": [],  "following": true, "follow_request_sent": false, "notifications": false, "translator_type": "none"}, "geo": null, "coordinates": null, "place": null, "contributors": null, "is_quote_status": false, "retweet_count": 8964, "favorite_count": 42908, "favorited": false, "retweeted": false, "possibly_sensitive": false, "possibly_sensitive_appealable": false, "lang": "en"}']

>Solution :

You need to have a reporoducible data first:

new_list = [
{"created_at": "Tue Aug 01 00:17:27 +0000 2017",
 "id": 892177421306343426,
 "id_str": "892177421306343426", 
 "full_text": "This is Tilly. She\'s just checking pup on you.",
 "truncated": False, 
 "display_text_range": [0, 138],
 "contributors": None,
 "is_quote_status": False,
 "retweet_count": 6514,
 "favorite_count": 33819,
 "favorited": False,
 "retweeted": False,
 "possibly_sensitive": False,
 "possibly_sensitive_appealable": False,
 "lang": "en"},

{"created_at": "Sun Jul 30 15:58:51 +0000 2017",
 "id": 891689557279858688, 
 "id_str": "891689557279858688", 
 "full_text": "This is Darla. She commenced a snooze mid meal.", 
 "truncated": False,
 "display_text_range": [0, 79],
 "entities": {"hashtags": [], "symbols": [],  "following": True, 
 "follow_request_sent": False, "notifications": False, 
  "translator_type": "none"},
 "geo": None, "coordinates": None,
 "place": None,
 "contributors": None,
 "is_quote_status": False,
 "retweet_count": 8964,
 "favorite_count": 42908,
"favorited": False,
"retweeted": False,
"possibly_sensitive": False,
"possibly_sensitive_appealable": False,
"lang": "en"}]

To clean it you can use :

import json
new_list=[]
for i in range(len(tweet_list)):
  new_list.append(json.loads(tweet_list[i]))

Then you can use :

import pandas as pd
df = pd. DataFrame. from_dict(new_list)
df2=pd.DataFrame(data=df[['id','retweet_count','favorite_count']])