timeseries.py

# Print created_at to see the original format of datetime in Twitter data
print(df_tweet['created_at'].head())

# Convert the created_at column to np.datetime object
df_tweet['created_at'] = pd.to_datetime(df_tweet['created_at'])

# Print created_at to see new format
print(df_tweet['created_at'].head())

# Set the index of df_tweet to created_at
df_tweet = df_tweet.set_index('created_at')

# Create a python column
df_tweet['python'] = check_word_in_tweet('python', df_tweet)

# Create an js column
df_tweet['js'] = check_word_in_tweet('javascript', df_tweet)