python - Dataframe Boolean Logic Index Match -


i have created pandas data frame , filter data based on boolean logic. i'd closer excels' index match function simple filtering. have researched lot of other threads.

  1. when apply filter, data frame returns 0 true values. why 0 true values being returned when have been flexible logic? and;

  2. if introduced 5th column, column 'd', random.randomint(100-1000,100), logic use conditionally find maximum values column d ? i.e. can force data frame return highest true values column, in event multiple true values returned?

advice appreciated. thank in advance.

import pandas pd  df = pd.dataframe({     'step': [1,1,1,1,1,1,2,2,2,2,2,2],     'a': [4,5,6,7,4,5,6,7,4,5,6,7],     'b': [10,20,30,40,10,20,30,40,10,20,30,40],     'c': [0,0.5,1,1.5,2,2.5,0,0.5,1,1.5,2.0,2.5] })  columns = ['step','a','b','c']  df=df[columns]  new_df=df[(df.step == 1) & (df.a == 4|5|6|7) & (df.b == 10|20|30|40)] new_df

using dataframe.query() method:

in [7]: new_df = df.query("step==1 , in [4,5,6,7] , b in [10,20,30,40]")  in [8]: new_df out[8]:    step    b    c 0     1  4  10  0.0 1     1  5  20  0.5 2     1  6  30  1.0 3     1  7  40  1.5 4     1  4  10  2.0 5     1  5  20  2.5

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