https://thispointer.com/find-the-index-of-a-value-in-numpy-array/ 主要就是用np.where np.where When only condition is provided, this function is a shorthand for np.asarray(condition).nonzero(). 当只有condition的时候等价于np.nonzero(condition) #判断两个ndarray是否近似is_same = np.isclose(...
np.max np.nanmax Find maximum value np.argmin np.nanargmin Find index of minimum value np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of elements np.any N/A Evaluate whether ...
np.argmin np.nanargmin Find index of minimum value np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of elements np.any N/A Evaluate whether any elements are true np.all N/A E...
indices=np.where(fractions==0)#4\.Find the first occurrenceofa0fraction a=np.ravel(np.take(a,indices))[0]# Or a=a[indices][0]a=int(a)b=np.sqrt(a**2-n
np.argmax np.nanargmax Find index of maximum value np.median np.nanmedian Compute median of elements np.percentile np.nanpercentile Compute rank-based statistics of elements np.any N/A Evaluate whether any elements are true np.all N/A Evaluate whether all elements are true ...
导入numpy库:在代码中导入numpy库,以便使用其中的函数和方法。 代码语言:txt 复制 import numpy as np 创建数组:使用numpy库的array函数创建一个数组。 代码语言:txt 复制 arr = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) 定义部分:确定要查找平均值的数组部分的起始索引和结束索引。
我想找到最接近给定数字的值。一切正常。但问题是,它产生nan两个唯一数字的输出。在这里我提供我的完整数据我的代码和输出:### Find the index of nearest value in a arraydef find_nearest(array, value): array = np.asarray(array) idx = (np.abs(array - value)).argmin() return array[idx] #fo...
Index of the searched array in the original array: [1] Explanation: np_array = np.array([[1,2,3], [4,5,6] , [7,8,9], [10, 11, 12]]): This line creates a 4x3 NumPy array. test_array = np.array([4,5,6]): This line creates a 1D NumPy array. ...
print(np.union1d(array1, array2)) # Find the intersection of two arrays. print(np.intersect1d(array1, array2)) # Find the set difference of two arrays. print(np.setdiff1d(array1, array2)) Output: [10 14 20 24 30 34 36 40 46 50] [20 24] [10 14 30 36]...
The example above will return a tuple: (array([3, 5, 6],)Which means that the value 4 is present at index 3, 5, and 6.Example Find the indexes where the values are even: import numpy as nparr = np.array([1, 2, 3, 4, 5, 6, 7, 8]) x = np.where(arr%2 == 0)print...