Riggun Riggun - 1 month ago 10x
Python Question

Numpy delete multiple rows matching criteria

I have a numpy array of folowing structure

sb = np.genfromtxt(open('HomePage/TodayList.txt', 'rb'),
delimiter=',', skiprows=0,
dtype=[('DataBase', np.str_, 16), ('Mode', np.str_, 16),
('SMB', np.str_, 16),('Desc', np.str_, 128),
('Res', np.str_, 16), ('RightCnt', np.float64),
('PercentCnt', np.float64), ('ModelType', np.float64)])

The 6th column
which can be accessed by name
contains numbers from 0 to 50
the 7th column
contains numbers from 0 to 5 so i need to remove or delete array rows which match these criteria


You can find all rows matching your criteria by use of a column-wise comparison for PercentCnt and ModelType and connection using np.logical_and. Doing that, you actually copy all other rows rather than to delete the ones you wanted to get rid of, but the effect is the same.

sb = sb[np.logical_and(sb["PercentCnt"]>=50, sb["ModelType"]>=2)]