Pandas filter rows using multiple fields together

Question

I have a pandas DataFrame like this:

In [34]: people = pandas.DataFrame({\'name\' : [\'John\', \'John\', \'Mike\', \'Sarah\', \'Julie\'], \'age\         


        

Answer 1

This should work:

people.set_index(people.columns.tolist(), drop=False).loc[filter].reset_index(drop=True)

Cleaned up and with explanation

# set_index with the columns you want to reference in tuples
cols = ['name', 'age']
people = people.set_index(cols, drop=False)
#                                   ^
#                                   |
#   ensure the cols stay in dataframe

#   does what you
#   want but now has
#   index that was
#   not there
# /--------------\
people.loc[filter].reset_index(drop=True)
#                 \---------------------/
#                  Gets rid of that index