In numpy, arrays may have a data-types containing fields, analogous to columns in a spreadsheet. An example is
[(a, int), (b, float)], where each entry in the array is a pair of (int, float). Normally, these attributes are accessed using dictionary lookups such as
arr['a'] and arr['b']. Record arrays allow the fields to be accessed as members of the array, using
arr.a and arr.b.
numpy.recarray.min() function returns the minimum of record array or minimum along an axis.
numpy.recarray.min(axis=None, out=None, keepdims=False)
axis : [None or int or tuple of ints, optional] Axis or axes along which to operate. By default, flattened input is used.
out : [ndarray, optional] A location into which the result is stored.
-> If provided, it must have a shape that the inputs broadcast to.
-> If not provided or None, a freshly-allocated array is returned.
keepdims : [bool, optional] If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.
Return : [ndarray or scalar] Minimum of record array. If axis is None, the result is a scalar value. If axis is given, the result is an array of dimension arr.ndim – 1.
Code #1 :
Input array : [[( 5., 2) ( 3., 4) ( 6., 8)] [( 9., 1) ( 5., 4) (-12., 7)]] Record array of float: [[ 5. 3. 6.] [ 9. 5. -12.]] Record array of int: [[2 4 8] [1 4 7]] Min of float record array, axis = None : -12.0 Min of float record array, axis = 0 : [ 5. 3. -12.] Min of float record array, axis = 1 : [ 3. -12.] Min of int record array, axis = None : 1 Min of int record array, axis = 0 : [1 4 7] Min of int record array, axis = 1 : [2 1]
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