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 ...
idx = (np.abs(values_array - base_value)).argmin() #finds the closest key=key_value_object.keys()[idx] # finds the key for the value return key,value_array[idx] 以上工作正常。但是我想在base_value上下两个不同的方法中找到最接近的值 def find_nearest_higher_key_value(key_value_object...
[t]) for t in reversed(range(n_t)): dLdXt = L1.backward(dLdAt) dLdX.insert(0, dLdXt) dLdX = np.dstack(dLdX) # 获取标准梯度 gold_mod = TorchRNNCell(n_in, n_out, L1.parameters) golds = gold_mod.extract_grads(X) # 定义参数列表 params = [ (X, "X"), (np.array(y_...
9. Find Nearest Value in ArrayWrite 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 solution10. Check Array EqualityWrite a NumPy program to check two random arrays are equal or not. ...
Find the nearest value from a given value in an array Z = np.random.uniform(0,1,10) z = 0.5 m = Z.flat[np.abs(Z - z).argmin()] print(m) # 0.5395588479363692 """ 在NumPy中,np.nditer主要用于多维数组的迭代计算和处理。在迭代计算过程中,np.nditer会将数组看作是一个连续的内存块,...
array(samples, dtype=int) # 定义一个名为 Dict 的字典子类 class Dict(dict): # 初始化方法,接受一个编码器参数 def __init__(self, encoder=None): """ A dictionary subclass which returns the key value if it is not in the dict. Parameters --- encoder : function or None A function whic...
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