基于这个问题,我天真地生成了一些有效的代码:Find nearest value in numpy array IE import time import numpy def find_index_of_nearest_xy(y_array, x_array, y_point, x_point): distance = (y_array-y_point)**2 + (x_array-x_point)**2 idy,idx = numpy.where(distance==distance.min()) r...
import numpy as npdef find_nearest(array, value): array = np.asarray(array) idx = (np.abs(array - value)).argmin() return array[idx]array = np.random.random(10)print(array)# [ 0.21069679 0.61290182 0.63425412 0.84635244&...
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] #for returing nearest value r ...
import numpy as npdef find_nearest(array, value): array = np.asarray(array) idx = (np.abs(array - value)).argmin() return array[idx]array = np.random.random(10)print(array)# [ 0.21069679 0.61290182 0.63425412 0.84635244&...
9. Find Nearest Value in Array Write a NumPy program to find the nearest value from a given value in an array. Expected Output: 4.96138509939 Click me to see the sample solution 10. Check Array Equality Write a NumPy program to check two random arrays are equal or not. ...
53. How to convert a float (32 bits) array into an integer (32 bits) in place? 1arr = np.arange(10,dtype =np.float)2arr =arr.astype(np.int32)3print(arr) 运行结果:[0 1 2 3 4 5 6 7 8 9] 54. How to read the following file? (★★☆) ...
def find_nearest(array, value): dist = np.abs(array- value) idx = np.argwhere(dist==dist[dist>0].min()) m,n = idx.shape near_list = [] for row in range(m): near_one = arr13[idx[row,0],idx[row,1]] near_list.append(near_one) ...
Find the nearest value from a given value in an array (★★☆)从数组中的给定值中找出最近的值 Z = np.random.uniform(0,1,10) z = 0.5 m = Z.flat[np.abs(Z - z).argmin()] print (m) Considering two arrays with shape (1,3) and (3,1), how to compute their sum using an ...
nearest_neighbors(k, x) # 断言返回的邻居数量等于 k assert len(mine) == k # 提取邻居的键和距离 mine_neighb = np.array([n.key for n in mine]) mine_dist = np.array([n.distance for n in mine]) # 对距离进行排序 sort_ix = np.argsort(mine_dist) mine_dist = mine_dist[sort_ix...
13. Create a 10x10 array with random values and find the minimum and maximum values >>Z = np.random.random((10,10)) Zmin, Zmax = Z.min(), Z.max() print(Zmin, Zmax) 14. Create a random vector of size 30 and find the mean value ...