Pandas integration

Pandas dataframes are supported, by default the format is .h5 (.pkl is supported as well).

Useful functions

• twint.storage.panda.save
• twint.storage.panda.read
• twint.storage.panda.clean

Other functions exist but for internal usage.

Useful objects

• twint.storage.panda.Follow_df: followers/following (only usernames
• twint.storage.panda.Tweets_df: tweets
• twint.storage.panda.User_df: users' information

Examples

Tweets

import twint

c = twint.Config()
c.Limit = 20
c.Username = username
c.Pandas = True

twint.run.Search(c)

Tweets_df = twint.storage.panda.Tweets_df

Followers

import twint

c = twint.Config()
c.Limit = 20
c.Username = username
c.Pandas = True

twint.run.Followers(c)

Followers_df = twint.storage.panda.Follow_df
list_of_followers = Followers_df['followers'][username]

Followers' information

import twint

c = twint.Config()
c.Limit = 20
c.Username = username
c.Pandas = True
c.User_full = True

twint.run.Followers(c)

Users_df = twint.storage.panda.User_df