python max matrix index
numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the index is into the flattened array, otherwise along the sp, Numpy has an argmax function that returns just that, although you will have to deal with the nan s manually. nan s always get sorted to the end of an array, so with that in mind you can do: a = np.random.rand(10000) a[np.random.randint(10000, size=(10,))
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numpy.argmax — NumPy v1.14 Manual
numpy.argmax¶. numpy. argmax (a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the ... https://docs.scipy.org numpy.argmax — NumPy v1.10 Manual
numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the in... https://docs.scipy.org python - Finding index of maximum value in array with NumPy ...
Numpy has an argmax function that returns just that, although you will have to deal with the nan s manually. nan s always get sorted to the end of an array, so with that in mind you can do: a = np.ra... https://stackoverflow.com Python: get the position of the biggest item in a numpy array ...
a = array([[10,50,30],[60,20,40]]) >>> maxindex = a.argmax() >>> maxindex 3. Update 2. (Thanks to KennyTM's comment) You can use unravel_index(a.argmax(), a.shape) to get the in... https://stackoverflow.com |