Function max

Wrapping/Python/vtkmodules/numpy_interface/algorithms.py:172–188

Returns the max of all values along a particular axis (dimension). Given an array of m tuples and n components: * Default is to return the max of all values in an array. * axis=0: Return the max values of all tuples and return a one tuple, n-component array. * axis=1: Return th

(array, axis=None, controller=None)

@deprecated(version="9.6", message="Use np.max() instead of algs.max().")
def max(array, axis=None, controller=None):
    """Returns the max of all values along a particular axis (dimension).
    Given an array of m tuples and n components:
    * Default is to return the max of all values in an array.
    * axis=0: Return the max values of all tuples and return a
      one tuple, n-component array.
    * axis=1: Return the max values of all components of each tuple
      and return an m-tuple, 1-component array.

    When called in parallel, this function will compute the max across
    processes when a controller argument is passed or the global controller
    is defined. To disable parallel summing when running in parallel, pass a
    dummy controller as follows:

    max(array, controller=vtkmodules.vtkParallelCore.vtkDummyController()).
    """
    return npalgs.max(array, axis, controller)

@deprecated(version="9.6", message="Use np.min() instead of algs.min().")
def min(array, axis=None, controller=None):