np array get max index
Find maximum value & its index in a 2D Numpy Array It will return the maximum value from complete 2D numpy arrays i.e. in all rows and columns. Find max values along the axis in 2D numpy array | max in rows or columns: If we pass axis=0 in numpy.amax, 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 ...,numpy. amax (a, axis=None, out=None, keepdims=<no value>, initial=<no ... Return the maximum of an array or maximum along an axis. ... maximum of two arrays, ignoring any NaNs. argmax: Return the indices of the maximum values. ,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. ... 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... ,Indices of the maximum values along an axis. ... By default, the index is into the flattened array, otherwise along the specified axis. Returns: index_array : ndarray ... ,Indices of the maximum values along an axis. ... By default, the index is into the flattened array, otherwise along the specified axis. Returns: index_array : ndarray ... , ... 4, 6, 1] maxindex = 0 i = 0 for tmp in a: if tmp > a[maxindex]: maxindex ... import numpy as np a = np.array([3, 1, 2, 4, 6, 1]) print(np.argmax(a)).
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 np array get max index 相關參考資料
Find max value & its index in Numpy Array | numpy.amax ...
Find maximum value & its index in a 2D Numpy Array It will return the maximum value from complete 2D numpy arrays i.e. in all rows and columns. Find max values along the axis in 2D 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.amax — NumPy v1.17 Manual
numpy. amax (a, axis=None, out=None, keepdims=<no value>, initial=<no ... Return the maximum of an array or maximum along an axis. ... maximum of two arrays, ignoring any NaNs. argmax: Return... 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 v1.17 Manual
Returns the indices of the maximum values along an axis. ... 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.8 Manual - omz:software
Indices of the maximum values along an axis. ... By default, the index is into the flattened array, otherwise along the specified axis. Returns: index_array : ndarray ... http://omz-software.com numpy.argmax — NumPy v1.9 Manual
Indices of the maximum values along an axis. ... By default, the index is into the flattened array, otherwise along the specified axis. Returns: index_array : ndarray ... https://het.as.utexas.edu 详解numpy的argmax - 荷楠仁- 博客园
... 4, 6, 1] maxindex = 0 i = 0 for tmp in a: if tmp > a[maxindex]: maxindex ... import numpy as np a = np.array([3, 1, 2, 4, 6, 1]) print(np.argmax(a)). https://www.cnblogs.com |