numpy maximum location
One solution is to "zero" out all the elements surrounding the circle and then simply take the max of the entire array. It appears your radius is 41, ...,import numpy as np >>> a = np.array([[1,2,3],[4,3,1]]) >>> i,j = np.unravel_index(a.argmax(), .... v = alli.max() index = alli.argmax() x, y = index/8, index%8. ,New in version 1.7.0. If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before. out : ndarray, optional. ,If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before. out : ndarray, optional. Alternative output ... ,numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the ... ,numpy.argmax. Returns the indices of the maximum values along an axis. By default, the index is into the flattened array, otherwise along the specified axis. ,numpy.argmax. Returns the indices of the maximum values along an axis. ,numpy.argmax. Indices of the maximum values along an axis. By default, the index is into the flattened array, otherwise along the specified axis. Array of indices into the array. ,numpy. maximum (x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, ... A location into which the result is stored. ,numpy. maximum (x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, ... A location into which the result is stored.
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How to find the maximum value of a numpy array, with location ...
One solution is to "zero" out all the elements surrounding the circle and then simply take the max of the entire array. It appears your radius is 41, ... https://stackoverflow.com How to get the index of a maximum element in a numpy array along ...
import numpy as np >>> a = np.array([[1,2,3],[4,3,1]]) >>> i,j = np.unravel_index(a.argmax(), .... v = alli.max() index = alli.argmax() x, y = index/8, index%8. https://stackoverflow.com numpy.amax — NumPy v1.13 Manual
New in version 1.7.0. If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before. out : ndarray, optional. https://docs.scipy.org numpy.amax — NumPy v1.16 Manual
If this is a tuple of ints, the maximum is selected over multiple axes, instead of a single axis or all the axes as before. out : ndarray, optional. Alternative output ... https://docs.scipy.org numpy.argmax — NumPy v1.10 Manual
numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the ... https://docs.scipy.org numpy.argmax — NumPy v1.13 Manual
numpy.argmax. Returns the indices of the maximum values along an axis. By default, the index is into the flattened array, otherwise along the specified axis. https://docs.scipy.org numpy.argmax — NumPy v1.16 Manual
numpy.argmax. Returns the indices of the maximum values along an axis. https://docs.scipy.org numpy.argmax — NumPy v1.8 Manual - omz:software
numpy.argmax. Indices of the maximum values along an axis. By default, the index is into the flattened array, otherwise along the specified axis. Array of indices into the array. http://omz-software.com numpy.maximum — NumPy v1.13 Manual
numpy. maximum (x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, ... A location into which the result is stored. https://docs.scipy.org numpy.maximum — NumPy v1.16 Manual
numpy. maximum (x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, ... A location into which the result is stored. https://docs.scipy.org |