How to delete rows per category in pandas based on a specific range? and the range is a string-CodePudding

I have a dataframe like this,

Date           Info 
2022-01-01     egg price
2022-01-01     Central Java
2022-01-01     East Java
2022-01-01     chicken price
2022-01-01     Central Java
2022-01-01     East Java
2022-01-02     egg price
2022-01-02     Central Java
2022-01-02     East Java
2022-01-02     chicken price
2022-01-02     Central Java
2022-01-02     East Java

how to delete rows starting from egg price to row before chicken price, and this is per date category. I want to be like this:

Date           Info
2022-01-01     chicken price
2022-01-01     Central Java
2022-01-01     East Java
2022-01-02     chicken price
2022-01-02     Central Java
2022-01-02     East Java

CodePudding user response：

If per Date are only one values egg and chicken price, egg is before chicken is possible create mask and get values between with GroupBy.cummax:

m1 = df['Info'].eq('egg price')
m2 = df['Info'].eq('chicken price')
mask = m1.groupby(df['Date']).cummax() & m2.iloc[::-1].groupby(df['Date']).cummax() & ~m2
df = df[~mask]

print (df)
          Date           Info
3   2022-01-01  chicken price
4   2022-01-01   Central Java
5   2022-01-01      East Java
9   2022-01-02  chicken price
10  2022-01-02   Central Java
11  2022-01-02      East Java