Loading tweets into a DataFrame
Now it's time to import data into a pandas DataFrame so we can analyze tweets at scale.
We will work with a dataset of tweets which contain the hashtag '#rstats' or '#python'. This dataset is stored as a list of tweet JSON objects in data_science_json.
This course touches on a lot of concepts you may have forgotten, so if you ever need a quick refresher, download the pandas basics Cheat Sheet and keep it handy!
Be aware that this is real data from Twitter and as such there is always a risk for the presence of profanity or other offensive content (in this exercise, and any following exercises that also use real Twitter data).
この演習はコースの一部です
Analyzing Social Media Data in Python
演習の手順
- Import
pandas(remember, by convention we'll alias it aspd). - Flatten the
data_science_jsontweets withflatten_tweets()and store them intweets. - Create a DataFrame from
tweetsusingpd.DataFrame(). - Print out the text from the first 5 tweets.
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。
# Import pandas
import ____ as ____
# Flatten the tweets and store in `tweets`
tweets = ____(____)
# Create a DataFrame from `tweets`
ds_tweets = ____(____)
# Print out the first 5 tweets from this dataset
print(ds_tweets[____].values[0:5])