A tweet flattening function
We are typically interested in hundreds or thousands of tweets. For this purpose, it makes sense to define a function to flatten JSON file full of tweets. Let's call this function flatten_tweets(). We will use this function multiple times in this course and change it slightly as we deal with different types of data.
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Bu egzersiz
Analyzing Social Media Data in Python
kursunun bir parçasıdırEgzersiz talimatları
- Store the user screen name in
user-screen_name. - Store the extended tweet text in
extended_tweet-full_text. - Store the retweet user screen name in
retweeted_status-user-screen_name. - Store the retweet text in
retweeted_status-text.
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
def flatten_tweets(tweets_json):
""" Flattens out tweet dictionaries so relevant JSON
is in a top-level dictionary."""
tweets_list = []
# Iterate through each tweet
for tweet in tweets_json:
tweet_obj = json.loads(tweet)
# Store the user screen name in 'user-screen_name'
tweet_obj[____] = ____
# Check if this is a 140+ character tweet
if 'extended_tweet' in tweet_obj:
# Store the extended tweet text in 'extended_tweet-full_text'
tweet_obj[____] = ____
if 'retweeted_status' in tweet_obj:
# Store the retweet user screen name in 'retweeted_status-user-screen_name'
tweet_obj[____] = ____
# Store the retweet text in 'retweeted_status-text'
tweet_obj[____] = ____
tweets_list.append(tweet_obj)
return tweets_list