python array argmax
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]). ,By default, the index is into the flattened array, otherwise along the specified ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 ... ,By default, the index is into the flattened array, otherwise along the specified ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 ... ,By default, the index is into the flattened array, otherwise along the specified ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 ... ,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. ,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. ,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]). , 对一个一维向量importnumpyasnpa=np.array([3,1,2,4,6,1])b=np.argmax(a)#取出a中元素最大值所对应的索引，此时最大值位6，其对应的位置索引 ..., 我无法理解numpy的某些方面。 这里有一个如果你能解释我：>>> a=np.array([[1,2,4,7],[, argmax返回的是最大数的索引.argmax有一个参数axis,默认是0,表示第几维的最大值.看二维的情况. import numpy as np a = np.array([[1, 5, 5, 2], ...
| 相關軟體 Python 資訊 | |
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 python array argmax 相關參考資料
numpy.argmax — NumPy v1.10 Manual
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 v1.12 Manual
By default, the index is into the flattened array, otherwise along the specified ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 ... https://docs.scipy.org numpy.argmax — NumPy v1.13 Manual
By default, the index is into the flattened array, otherwise along the specified ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 ... https://docs.scipy.org numpy.argmax — NumPy v1.14 Manual
By default, the index is into the flattened array, otherwise along the specified ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 ... 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 v1.17.dev0 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://www.numpy.org numpy.argmax — NumPy v1.9 Manual
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() - u013713117的专栏- CSDN博客
对一个一维向量importnumpyasnpa=np.array([3,1,2,4,6,1])b=np.argmax(a)#取出a中元素最大值所对应的索引，此时最大值位6，其对应的位置索引 ... https://blog.csdn.net numpy: argmin() 和argmax() 函数的逻辑是什么？_numpy_帮酷编程 ...
我无法理解numpy的某些方面。 这里有一个如果你能解释我：>>> a=np.array([[1,2,4,7],[ http://hant.ask.helplib.com 详解numpy的argmax - 荷楠仁- 博客园
argmax返回的是最大数的索引.argmax有一个参数axis,默认是0,表示第几维的最大值.看二维的情况. import numpy as np a = np.array([[1, 5, 5, 2], ... https://www.cnblogs.com |