Counting frequency of values by date using pandas

Question

Let\'s suppose I have following Time Series:

Timestamp              Category
2014-10-16 15:05:17    Facebook
2014-10-16 14:56:37    Vimeo
2014-10-16 14:25:16         


        

Answer 1

Convert your TimeStamp column to week number then groupby that week number and value_count the categorical variable like so:

df.groupby('week_num').Category.value_counts()

Where I have assumed that a new column week_num was created from the TimeStamp column.