I have <class ‘numpy.ndarray’> of many <class ‘numpy.dtype[void]’> … It’s from mql5 integration and they are include int/float data, example of single row:
(1649854500, 0.83254, 0.83264, 0.83231, 0.83256, 290, 18, 0)
(1649819400, 1.64308, 1.64314, 1.64259, 1.64262, 185, 57, 0)
… e.t.c.
But I was get many problem with serching max/min values in the axis=1 and many errors with datatype… How to get max value of second column in the specific range?
Full len of ndarray is 100+, but I need get max from second column between 25 - 50 indexes (rows, for example, really it’s various indexes each time) …
And I don’t know maybe need to change type as first step (for dict/list), maybe it’s possible with this data … plz help.
p.s. I was use it, numpy.ndarray.max — NumPy v1.26 Manual
but don’t know how to change type for correct for “void” rows =( And how to set conditions too, but may be it will be more easy if it will be work