import numpy as np a = np.array([1, 2, 3]) print(a[0, 1]) # 这将引发错误,因为a只有一维,但提供了两个索引。 修复这个错误的方法是确保索引的数量与数组的维度相匹配。对于一维数组,只需使用一个索引。 import numpy as np a = np.array([1, 2, 3]) print(a[0]) # 输出:1 总结:“...
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 去索引,但是对于 0 维数组你使用了 1 个 index 去索引 解决过程 conv 参数分别是卷积输入矩阵、卷积核( filter )、输出矩阵(全零矩阵)、步长和偏置项,计算的是卷积输出 调用参数逐个打印结果,发现第二个参数打印的是参数地址,并非...
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...
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), res(:,3) rand_res(:,3),res(:,4) rand_res(:,4),res(:,5) rand_r...
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!!!
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 ...
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...
, 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...