numpy.recarray.min() returns the minimum of the array of records or the minimum along the 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.
- & 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.
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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