np argmax 2d
This, comparing to argmax , returns coordinates of all elements equal to the maximum. argmax returns just one of them ( np.ones(5).argmax() ..., from numpy import unravel_index >>> unravel_index(a.argmax(), a.shape) (1, 0) ... You can simply write a function (that works only in 2d): def argmax_2d(matrix): maxN = np.argmax(matrix) (xD,yD) = matrix.shape if maxN ...,a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) array([2, 2]). ,a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) array([2, 2]). ,a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) array([2, 2]). ,a = np.arange(6).reshape(2,3) + 10 >>> a array([[10, 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) ... ,a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) array([2, 2]). , def argmax2d(X): n, m = X.shape x_ = np.ravel(X) k = np.argmax(x_) i, ... What if one of the rows in your 2D array don't have a maximum (it's ..., import numpy as np a = np.array([3, 1, 2, 4, 6, 1]) print(np.argmax(a)) ... 为了描述方便,a就表示这个二维数组.np.argmax(a, axis=0)的含义是a[0][j] ...
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![]() np argmax 2d 相關參考資料
Argmax of numpy array returning non-flat indices - Stack Overflow
This, comparing to argmax , returns coordinates of all elements equal to the maximum. argmax returns just one of them ( np.ones(5).argmax() ... https://stackoverflow.com Get the position of the biggest item in a multi-dimensional numpy ...
from numpy import unravel_index >>> unravel_index(a.argmax(), a.shape) (1, 0) ... You can simply write a function (that works only in 2d): def argmax_2d(matrix): maxN = np.argmax(matrix) (xD... https://stackoverflow.com numpy.argmax — NumPy v1.13 Manual - Numpy and Scipy
a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) array([2, 2]... https://docs.scipy.org numpy.argmax — NumPy v1.14 Manual - Numpy and Scipy
a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) array([2, 2]... https://docs.scipy.org numpy.argmax — NumPy v1.15 Manual - Numpy and Scipy
a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) array([2, 2]... https://docs.scipy.org numpy.argmax — NumPy v1.17 Manual - Numpy and Scipy
a = np.arange(6).reshape(2,3) + 10 >>> a array([[10, 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1)&n... https://docs.scipy.org numpy.argmax — NumPy v1.9 Manual - Numpy and Scipy
a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) array([2, 2]... https://docs.scipy.org Request: argmax2d · Issue #9283 · numpynumpy · GitHub
def argmax2d(X): n, m = X.shape x_ = np.ravel(X) k = np.argmax(x_) i, ... What if one of the rows in your 2D array don't have a maximum (it's ... https://github.com 详解numpy的argmax - 荷楠仁- 博客园
import numpy as np a = np.array([3, 1, 2, 4, 6, 1]) print(np.argmax(a)) ... 为了描述方便,a就表示这个二维数组.np.argmax(a, axis=0)的含义是a[0][j] ... https://www.cnblogs.com |