second max numpy
In [1]: import numpy as np In [2]: arr = np.array([1, 3, 2, 4, 5]) In [3]: .... def largest_indices(ary, n): """Returns the n largest indices from a numpy array. , You can use np.argsort(np.max(x, axis=0))[-2] . This scales to any index you want by changing the slicing index from -2 to -index .,Return the maximum of an array or maximum along an axis. ... ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax ... ,When a is an array with fields defined, this argument specifies which fields to compare first, second, etc. A single field can be specified as a string, and not all ... ,When a is an array with fields defined, this argument specifies which fields to compare first, second, etc. A single field can be specified as a string, and not all ... ,numpy. maximum (x1, x2, /, out=None, *, where=True, casting='same_kind', ... Compare two arrays and returns a new array containing the element-wise maxima ... ,numpy. maximum (x1, x2, /, out=None, *, where=True, casting='same_kind', ... Compare two arrays and returns a new array containing the element-wise maxima ... , First to find the element you are looking for, you can use the argsort function to get a sorted list of indexes for the values of each vector on the ..., You can flatten the matrix and then sort it: >>> k = np.array([[ 35, 48, 63], ... [ 60, 77, 96], ... [ 91, 112, 135]]) >>> flat=k.flatten() >>> flat.sort() > ..., import numpy as np a=np.array([[1,2,3],[4,5,6]]) a=a.reshape((a.shape[0])*(a.shape[1])) # n is the nth largest taken by us print(a[np.argsort()[-n]]).
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 second max numpy 相關參考資料
How do I get indices of N maximum values in a NumPy array? - Stack ...
In [1]: import numpy as np In [2]: arr = np.array([1, 3, 2, 4, 5]) In [3]: .... def largest_indices(ary, n): """Returns the n largest indices from a numpy array. https://stackoverflow.com Numpy get index of row with second-largest value - Stack Overflow
You can use np.argsort(np.max(x, axis=0))[-2] . This scales to any index you want by changing the slicing index from -2 to -index . https://stackoverflow.com numpy.amax — NumPy v1.16 Manual
Return the maximum of an array or maximum along an axis. ... ignoring any NaNs. maximum: Element-wise maximum of two arrays, propagating any NaNs. fmax ... https://docs.scipy.org numpy.argsort — NumPy v1.13 Manual
When a is an array with fields defined, this argument specifies which fields to compare first, second, etc. A single field can be specified as a string, and not all ... https://docs.scipy.org numpy.argsort — NumPy v1.16 Manual
When a is an array with fields defined, this argument specifies which fields to compare first, second, etc. A single field can be specified as a string, and not all ... https://docs.scipy.org numpy.maximum — NumPy v1.13 Manual
numpy. maximum (x1, x2, /, out=None, *, where=True, casting='same_kind', ... Compare two arrays and returns a new array containing the element-wise maxima ... https://docs.scipy.org numpy.maximum — NumPy v1.14 Manual
numpy. maximum (x1, x2, /, out=None, *, where=True, casting='same_kind', ... Compare two arrays and returns a new array containing the element-wise maxima ... https://docs.scipy.org Python, Numpy, replacing second max value with 1, others with 0 ...
First to find the element you are looking for, you can use the argsort function to get a sorted list of indexes for the values of each vector on the ... https://stackoverflow.com Quickest way to find the nth largest value in a numpy Matrix - Stack ...
You can flatten the matrix and then sort it: >>> k = np.array([[ 35, 48, 63], ... [ 60, 77, 96], ... [ 91, 112, 135]]) >>> flat=k.flatten() >>> flat.sort() > ... https://stackoverflow.com Quickest way to find the nth largest value in a numpy Matrix ...
import numpy as np a=np.array([[1,2,3],[4,5,6]]) a=a.reshape((a.shape[0])*(a.shape[1])) # n is the nth largest taken by us print(a[np.argsort()[-n]]). https://stackoverflow.com |