numpy ndarray argmax
沒有這個頁面的資訊。瞭解原因 , Array of indices into the array. It has the same shape as a.shape with the dimension along axis removed. See also. ndarray.argmax ..., Array of indices into the array. It has the same shape as a.shape with the dimension along axis removed. See also. ndarray.argmax ..., argmax would return an ndarray . Examples. >>> >>> x = np., numpy.ndarray.argmax¶. method. ndarray. argmax (axis=None, out=None)¶. Return indices of the maximum values along the given axis.,numpy.ndarray.argmax¶. method. ndarray. argmax (axis=None, out=None)¶. Return indices of the maximum values along the given axis. Refer to numpy.argmax ... ,ndarray.argmax(axis=None, out=None)¶. Return indices of the maximum values along the given axis. Refer to numpy.argmax for full documentation. See also. , 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], ...
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numpy ndarray argmax 相關參考資料
https:docs.scipy.orgdocnumpy-1.15.0reference...
沒有這個頁面的資訊。瞭解原因 https://docs.scipy.org numpy.argmax — NumPy v1.18 Manual
Array of indices into the array. It has the same shape as a.shape with the dimension along axis removed. See also. ndarray.argmax ... https://numpy.org numpy.argmax — NumPy v1.19 Manual
Array of indices into the array. It has the same shape as a.shape with the dimension along axis removed. See also. ndarray.argmax ... https://numpy.org numpy.matrix.argmax — NumPy v1.19 Manual
argmax would return an ndarray . Examples. >>> >>> x = np. https://numpy.org numpy.ndarray.argmax — NumPy v1.19 Manual
numpy.ndarray.argmax¶. method. ndarray. argmax (axis=None, out=None)¶. Return indices of the maximum values along the given axis. https://numpy.org numpy.ndarray.argmax — NumPy v1.20.dev0 Manual
numpy.ndarray.argmax¶. method. ndarray. argmax (axis=None, out=None)¶. Return indices of the maximum values along the given axis. Refer to numpy.argmax ... https://numpy.org numpy.ndarray.argmax — NumPy v1.9 Manual
ndarray.argmax(axis=None, out=None)¶. Return indices of the maximum values along the given axis. Refer to numpy.argmax for full documentation. See also. https://het.as.utexas.edu 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 |