熊猫通过多列分组，计数和重新采样

Question

Having the following dataframe:

                     UserID TweetLanguage
2014-08-25 21:00:00  001        english
2014-08-27 21:04:00  001        arabic
2014-08-29 22:07:00  001        espanish
2014-08-25 22:09:00  002        english
2014-08-26 22:09:00  002        espanish
2014-08-25 22:09:00  003        english 

I need to plot the weekly number of users who have posted in more than one language.

For example, in the above dataframe, user 001 and 002 have tweeted in more than one languages. So in the plot, the corresponding value for this week should be 2. Same story for other weeks.

Answer 1

df.groupby([pd.Grouper(freq='W'), 'User ID'])['TweetLanguage'].nunique().unstack().plot()

Answer 2

df.groupby(pd.Grouper(key='datetime', freq='W')).apply(lambda df:\
df.groupby('UserID').apply(lambda df: len(df.TweetLanguage.value_counts())))

This is a one liner that will seperate the week and get number of language in a week

df.groupby('UserID').apply(lambda df: len(df.TweetLanguage.value_counts()))

This will return a series with index: value of user ID : number of language used for each week..

Answer 3

Use 2 groupbys . The first finds the users who post in more than one language every week, the second counts how many there are per week.

(df.groupby([df.index.year.rename('year'), df.index.week.rename('week'), 'UserID']).TweetLanguage.nunique() > 1).groupby(level=[0,1]).sum()

#year  week
#2014  35      2.0
#Name: TweetLanguage, dtype: float64