错误信息“too many indices for array: array is 0-dimensional, but 1 were indexed”明确指出了问题的根源: 0-dimensional array:表示数组是零维的,即它是一个标量(scalar),不包含任何索引维度。 1 were indexed:表示尝试使用了一个索引来访问该数组,这是不允许的,因为零维数组无法被索引。 这种错误通常发生...
当你看到“IndexError: too many indices for array: array is 0-dimensional, but 1 were indexed”这个错误时,通常是因为你尝试访问一个0维数组(标量)的元素,但代码中提供的索引数量不正确。这个错误可能出现在使用NumPy库或其他类似库时。例如,如果你有一个0维数组(标量),并尝试使用索引访问其元素,就会出现这...
IndexError: too many indices for array: array is 0-dimensional, but 1 were indexed解决方案 报错解释 下标错误:数组索引太多:数组是 0 维的,但是有 1 个被索引了 0维: arr 1维: arr[i] 二维: arr[i, j] 三维: arr[i, j, k] 不知道 0 维怎么表示,总之就是 n 维数组需要 n 个 index 去...
arr = np.array([1,2,3])print(arr.shape)# 👉️ (3, ) 👈️ this is one-dimensional array# ⛔️ IndexError: too many indices for array: array is 1-dimensional, but 2 were indexedprint(arr[:,0]) 我们有一个一维numpy数组,但指定了 2 个导致错误的索引。 如果我们有一个一维数...
简介:【Python·问题解决】IndexError: too many indices for array: array is 2-dimensional, but 3 were indexed 前言 今天再训练数据集的时候发现了这样的一个问题,用鸢尾花数据集进行训练跑KPCA的时候可以用,但是到我这故障诊断里就直接报废了,就离谱!!!
sample['Adequate'] = preds[:, 0] sample['Effective'] = preds[:, 1] sample['Ineffective'] = preds[:, 2] sample.head() or even this code y_pred[:, 2] this error will appear too many indices for array: array is 1-dimensional, but 2 were indexed ...
// Collection expressions:int[] array = [1,2,3,4,5,6];// Alternative syntax:int[] array2 = {1,2,3,4,5,6}; Single-dimensional arrays Asingle-dimensional arrayis a sequence of like elements. You access an element via itsindex. Theindexis its ordinal position in the sequence. The...
rand_res = zeros(size(res,1),5); rand_res(:,1) = times; forj=2:5 rand_res(:,j) = arrayfun(@(x) normrnd(0,0.025*x)+x, res(:,j)); end ifverbose fprintf("Beta = %.3f%%\n",betas(1)*100); plot(times,[res(:,2) rand_res(:,2),...
IndexError: too many indicesforarray: array is 1-dimensional, but 2 were indexed There is an exception, too. It may be so difficult for me to use skorch correctly... Copy link Collaborator BenjaminBossancommentedJul 5, 2022 The complete stacktrace is mentioned in the top block. I have ...
, vid_cap in dataset: File "/home/jetson/Projects/yolo/yolov7/utils/datasets.py", line 338, in __next__ img = img[:, :, :, ::-1].transpose(0, 3, 1, 2) # BGR to RGB, to bsx3x416x416 IndexError: too many indices for array: array is 3-dimensional, but 4 were indexed...