Just use the DataFrame constructor ...
In [6]: tweet_sample = [{'contributers': None, 'truncated': False, 'text': 'foo'}, {'contributers': None, 'truncated': True, 'text': 'bar'}] In [7]: df = pd.DataFrame(tweet_sample) In [8]: df Out[8]: contributers text truncated 0 None foo False 1 None bar True
If you have the file as JSON, you can open it with json.load :
import json with open('<MyFilePath>\usTweets0.json', 'r') as f: tweet_sample = json.load(f)
Coming soon from_json to pandas ...
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