numpy argmax 2d array
a = array([[10,50,30],[60,20,40]]) >>> maxindex = a.argmax() >>> maxindex 3 ... You can simply write a function (that works only in 2d):, which in your case will return a 3x3 array of the maximum values along the ... you would instead use argmax , just like you would max above:
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 numpy argmax 2d array 相關參考資料
Argmax of numpy array returning non-flat indices - Stack Overflow
You could use numpy.unravel_index() on the result of numpy.argmax() : >>> a = numpy.random.random((10, 10)) ... https://stackoverflow.com Get the position of the biggest item in a multi-dimensional numpy ...
a = array([[10,50,30],[60,20,40]]) >>> maxindex = a.argmax() >>> maxindex 3 ... You can simply write a function (that works only in 2d): https://stackoverflow.com Getting ArgMax of a 2d Array - Stack Overflow
which in your case will return a 3x3 array of the maximum values along the ... you would instead use argmax , just like you would max above: https://stackoverflow.com How to find the argmax of a two dimensional array in numpy ...
You didn't specify an axis . It returns an index into the flattened array, as documented. >>> L = [[1,2,3],[4,5,6],[7,8,9]] >>> np.argmax(L) 8 ... https://stackoverflow.com numpy.argmax — NumPy v1.13 Manual
Input array. axis : int, optional. By default, the index is into the flattened array, otherwise along the specified axis. out : array, optional. If provided, the result will be ... https://docs.scipy.org numpy.argmax — NumPy v1.15 Manual
Parameters: a : array_like. Input array. axis : int, optional. By default, the index is into the flattened array, otherwise along the specified axis. out : array, optional. https://docs.scipy.org numpy.argmax — NumPy v1.16 Manual
Parameters: a : array_like. Input array. axis : int, optional. By default, the index is into the flattened array, otherwise along the specified axis. out : array, optional. https://docs.scipy.org numpy.argmax — NumPy v1.9 Manual
https://het.as.utexas.edu Request: argmax2d · Issue #9283 · numpynumpy · GitHub
It would be really nice if there was a convenience function to perform an argmax over a 2D array and return the row and column indexes of the ... https://github.com Using numpy.argmax() on multidimensional arrays - Stack Overflow
You should be able to access the maximum values indexed by index using numpy.indices() : x, z, t = numpy.indices(index.shape) data[x, index, ... https://stackoverflow.com |