Prioritize based on Column Value and select row

Question

I want to give priority on Multiple columns and select row based on priority

I wanted to select ID\'s with RC priority in Category Column and Pending Priority in Sta

Answer 1

Convert columns to ordered categoricals with set priority by passing list to categories parameter, then sorting by 3 columns by DataFrame.sort_values and last remove duplicates with DataFrame.drop_duplicates:

df['Category'] = pd.Categorical(df['Category'], ordered=True, categories=['GC','RC'])
df['Status'] = pd.Categorical(df['Status'], ordered=True, categories=['Resolved','Pending'])

df = df.sort_values(['ID','Category','Status']).drop_duplicates('ID', keep='last')
print (df)
   ID Category    Status        Date
1   1       RC  Resolved  05-10-2016
3   2       RC   Pending  09-08-2016
6   3       RC   Pending  13-05-2019
7   4       GC   Pending  10-06-2018