http://www.duoduokou.com/python/17615525469325570899.html WebDec 24, 2024 · numpy.argwhere () function is used to find the indices of array elements that are non-zero, grouped by element. Syntax : numpy.argwhere (arr) Parameters : arr : [array_like] Input array. Return : [ndarray] Indices of elements that are non-zero. Indices are grouped by element. Code #1 : import numpy as geek.
Python NumPy Where With Examples - Python Guides
WebPython空数组判断 在使用numpy找到指定元素对应索引时,一般会使用numpy.argwhere ()或numpy.where ()函数。 正常使用numpy.argwhere ()函数时,返回结果是元素的坐标。 但是当数组内没有指定元素时,会返回 [],比如下面这段程序 import numpy x = numpy.arange (5) # [0,1,2,3,4] y = numpy.argwhere (x==5) 输出y时结果为 [] print (y) # [] 查看y的布尔值时,结 … WebDataFrame.where(cond, other=_NoDefault.no_default, *, inplace=False, axis=None, level=None) [source] #. Replace values where the condition is False. Where cond is True, keep the original value. Where False, replace with corresponding value from other . If cond is callable, it is computed on the Series/DataFrame and should return boolean Series ... matlab plot ground track
xarray.DataArray.where
WebJun 29, 2024 · numpy.array オブジェクトの要素のうち、指定した条件を満たす要素は下記のように取得できる。 import numpy as np arr = np.array ( [ [ 1, 2, 3 ], [ 4, 5, 6 ]]) # array ( [ [1, 2, 3], # [4, 5, 6]]) # 特定の条件を満たす要素を取得 arr [arr > 3] # array ( [4, 5, 6]) # 特定の条件を満たす要素を取得 arr [arr > 3] # array ( [4, 5, 6]) ただし、指定した条件を満たす要素の … WebJan 19, 2024 · The argwhere function takes a list of values and a predicate/boolean function as arguments and returns a list of indices where the predicate function returns true in the input list. For example, argwhere ( [1, 2, 3, -5, 5], x -> x > 2) would produce an output of [2, 4] because those are the (0-indexed) indices whose values are greater than two. Webtorch.argwhere(input) → Tensor. Returns a tensor containing the indices of all non-zero elements of input. Each row in the result contains the indices of a non-zero element in input. The result is sorted lexicographically, with the last index changing the fastest (C-style). If input has n n dimensions, then the resulting indices tensor out is ... matlab plot gaussian curve