Record arrays allow you to access fields as elements of an array using
arr.a and arr.b
numpy.recarray.argmin () strong> returns the indices of the min element of the array on a specific axis.
numpy.recarray.argmin (axis = None, out = None)
axis: [int, optional] Along a specified axis like 0 or 1
out : [ndarray, optional] A location into which the result is stored.
- & gt; If provided, it must have a shape that the inputs broadcast to.
- & gt; If not provided or None, a freshly-allocated array is returned.
Returns: [ndarray of ints] Array of indices into the array with same shape as array.shape with the dimension along axis removed.
Code # 1:
p> Output :
# Python program explaining
# numpy.recarray.argmin () method
# import numy as a geek
numpy as geek
# create an input array with two different fields p>
# convert it to array of posts,
# using arr.view (np.recarray)
"Record array of float:"
"Record array of int:"
# applying recarray.argmin methods to
# floating array of records along axis 1
geek.recarray.argmin ( rec_arr.a, axis
"Output array along axis 1:"
# application methods recarray.argmin to
# int array of records along axis 0
geek.recarray.argmin (rec_arr.b, axis
"Output array along axis 0:"
Input array: [ [(5.0, 2) (3.0, 4) (6.0, 9)] [(9.0, 1) (5.0, 4) (-12.0, -7)]] Record array of float: [[5. 3. 6. ] [9. 5. -12.]] Record array of int: [[2 4 9] [1 4 -7]] Output array along axis 1: [1 2] Output array along axis 0: [1 0 1]
Code # 2:
If we apply
numpy.recarray.argmin () to the entire array of records then this will give
TypeError: Cannot cast array data from dtype ((numpy.record, [('a', '& lt; f8 & # 8242;), (" b & # 8217 ;, " & lt; i8 ") ])) to dtype (" V16 ") according to the rule " safe "
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