Selecting with complex criteria from pandas.DataFrameFor example I have simple DF: import pandas as pd from random import randint df = pd.DataFrame({'A': [randint(1, 9) for x in range(10)], 'B': [randint(1, 9)*10 for x in range(10)], 'C': [randint(1, 9)*100 for x in range(10)]}) Can I select values from 'A' for which corresponding values for 'B' will be greater than 50, and for 'C' - not equal to 900, using methods and idioms of Pandas?
