numpy 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]). Indexes of the maximal elements of a N-dimensional a,Notes. In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence are returned. Examples. >>> a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >,numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the index is into the flattened array, otherwise along the sp,numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the index is into the flattened array, otherwise along the sp,numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the index is into the flattened array, otherwise along the sp,numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the index is into the flattened array, otherwise along the sp,Array of indices into the array. It has the same shape as a.shape with the dimension along axis removed. See also. ndarray.argmax, argmin · amax: The maximum value along a given axis. unravel_index: Convert a flat index into an index tuple. Notes. , numpy.argmax(a, axis=None, out=None) 返回沿轴axis最大值的索引。Parameters: a : array_like 数组axis : int, 可选默认情况下，索引的是平铺的数组，否则沿指定的轴。 out : array, 可选如果提供，结果以合适的形状和类型被插入到此数组中。 Returns: index_array : nda., 这里应该是拿min/max（更适合处理可迭代对象，可选的参数是key=func）与np.min/np.max（可适合处理numpy.ndarray对象，可选的参数是axis=0或者1）作比较，只不过np.argmin/np.argmax的用法与np.min/np.max相似，这里就不进行更正了。 首先min/max与np.argmin/np.argmax函数的功能不同前者返回值，后者 ..., 从最简单的例子出发. 假定现在有一个数组a = [3, 1, 2, 4, 6, 1]现在要算数组a中最大数的索引是多少.这个问题对于刚学编程的同学就能解决.最直接的思路,先假定第0个数最大,然后拿这个和后面的数比,找到大的就更新索引.代码如下 a = [3, 1, 2, 4, 6, 1] maxindex = 0 i = 0 for tmp in a: if tmp > a[maxindex]: maxindex ...
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 numpy argmax 相關參考資料
numpy.argmax — NumPy v1.14 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 v1.13 Manual
Notes. In case of multiple occurrences of the maximum values, the indices corresponding to the first occurrence are returned. Examples. >>> a = np.arange(6).reshape(2,3) >>> a array(... https://docs.scipy.org numpy.argmax — NumPy v1.12 Manual
numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the in... https://docs.scipy.org numpy.argmax — NumPy v1.11 Manual
numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the in... https://docs.scipy.org numpy.argmax — NumPy v1.10 Manual
numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the in... https://docs.scipy.org numpy.argmax — NumPy v1.13.dev0 Manual
numpy.argmax¶. numpy.argmax(a, axis=None, out=None)[source]¶. Returns the indices of the maximum values along an axis. Parameters: a : array_like. Input array. axis : int, optional. By default, the in... https://docs.scipy.org numpy.argmax — NumPy v1.9 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, argmin · amax: The maximum value along a given axis. unravel_i... https://docs.scipy.org numpy.argmax() - CSDN博客
numpy.argmax(a, axis=None, out=None) 返回沿轴axis最大值的索引。Parameters: a : array_like 数组axis : int, 可选默认情况下，索引的是平铺的数组，否则沿指定的轴。 out : array, 可选如果提供，结果以合适的形状和类型被插入到此数组中。 Returns: index_array : nda. https://blog.csdn.net 详解numpy的argmax - CSDN博客
这里应该是拿min/max（更适合处理可迭代对象，可选的参数是key=func）与np.min/np.max（可适合处理numpy.ndarray对象，可选的参数是axis=0或者1）作比较，只不过np.argmin/np.argmax的用法与np.min/np.max相似，这里就不进行更正了。 首先min/max与np.argmin/np.argmax函数的功能不同前者返回值，后者 ... https://blog.csdn.net 详解numpy的argmax - 荷楠仁- 博客园
从最简单的例子出发. 假定现在有一个数组a = [3, 1, 2, 4, 6, 1]现在要算数组a中最大数的索引是多少.这个问题对于刚学编程的同学就能解决.最直接的思路,先假定第0个数最大,然后拿这个和后面的数比,找到大的就更新索引.代码如下 a = [3, 1, 2, 4, 6, 1] maxindex = 0 i = 0 for tmp in a: if tmp > a[maxinde... http://www.cnblogs.com |