python numpy max index
Python's numpy module provides a function to get the maximum value from a Numpy ... Find maximum value & its index in a 1D Numpy Array:., import numpy as np a = np.array([[1,2,3], [4,3,1]]) # Can be of any shape indices = np.where(a == a.max()). You can also change your ...,Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... ,Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... ,Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... ,Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... ,Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) + 10 >>> a array([[10, 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 ... ,Indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) ... ,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 = [3, 1, 2, 4, 6, 1] maxindex = 0 i = 0 for tmp in a: if tmp > a[maxindex]: maxindex = i i += 1 print(maxindex). 这个问题虽然简单.但是可以帮助我们 ...
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 python numpy max index 相關參考資料
Find max value & its index in Numpy Array | numpy.amax ...
Python's numpy module provides a function to get the maximum value from a Numpy ... Find maximum value & its index in a 1D Numpy Array:. https://thispointer.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]]) # Can be of any shape indices = np.where(a == a.max()). You can also change your ... https://stackoverflow.com numpy.argmax — NumPy v1.10 Manual
Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.13 Manual
Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.14 Manual
Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.15 Manual
Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.16 Manual
Returns the indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) + 10 >>> a array([[10, 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 ... https://docs.scipy.org numpy.argmax — NumPy v1.8 Manual - omz:software
Indices of the maximum values along an axis. ... a = np.arange(6).reshape(2,3) >>> a array([[0, 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) ... http://omz-software.com numpy.argmin — 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 详解numpy的argmax - 荷楠仁- 博客园
a = [3, 1, 2, 4, 6, 1] maxindex = 0 i = 0 for tmp in a: if tmp > a[maxindex]: maxindex = i i += 1 print(maxindex). 这个问题虽然简单.但是可以帮助我们 ... https://www.cnblogs.com |