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.
json has been loaded for you.
この演習はコースの一部です
Analyzing Social Media Data in Python
演習の手順
- 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.
実践的なインタラクティブ演習
このサンプルコードを完成させて、この演習に挑戦してみましょう。
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