python array get max index
Find max value & its index in Numpy Array | numpy.amax() If it's provided then it will return for array of max values along the axis i.e. If axis=0 then it returns an array containing max value for each columns. If axis=1 then it returns an array,If you are dealing with numpy arrays or can afford numpy as a dependency, ... You can find the min/max index and value at the same time if you enumerate the ... ,Newer NumPy versions (1.8 and up) have a function called argpartition for this. To get the indices of the four largest elements, do >>> a = np.array([9, 4, 4, 3, 3, ... , 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. ... 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 ... , max_value = max(my_list) max_index = my_list.index(max_value) .... that the list is very large, and assuming that it's already an np.array().
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 python array get max index 相關參考資料
Find max value & its index in Numpy Array | numpy.amax ...
Find max value & its index in Numpy Array | numpy.amax() If it's provided then it will return for array of max values along the axis i.e. If axis=0 then it returns an array containing max val... https://thispointer.com Getting the index of the returned max or min item using max()min ...
If you are dealing with numpy arrays or can afford numpy as a dependency, ... You can find the min/max index and value at the same time if you enumerate the ... https://stackoverflow.com How do I get indices of N maximum values in a NumPy array? - Stack ...
Newer NumPy versions (1.8 and up) have a function called argpartition for this. To get the indices of the four largest elements, do >>> a = np.array([9, 4, 4, 3, 3, ... https://stackoverflow.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 v1.13 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 Pythonic way to find maximum value and its index in a list ...
max_value = max(my_list) max_index = my_list.index(max_value) .... that the list is very large, and assuming that it's already an np.array(). https://stackoverflow.com |