我正在尝试使用numpy的fromfunction创建一个numpy矩阵,每个矩阵元素都作为函数的输出元素。下面是我的代码,它失败了,并显示错误消息IndexError: arrays used as indices must be of integer (or boolean) type。我在Stackoverflow上读了一些资源,他们说文档是误导性的(),有时它不能像预期的那样工作。在阅读完这些线程之后,我怀疑问题出在我访问了输入函数中的两个数组q_x和rs。有关于如何摆脱这个错误的想法吗?
import numpy as np
q_x = np.array([1,2,3,4,5,6,7
我有一个3D NumPy数组,如下所示:
arr = np.empty((4,4,5))
arr[:] = np.nan
arr[0] = 1
arr[3] = 4
arr
>>> [[[ 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1.]
[ 1. 1. 1. 1. 1.]]
[[ nan nan nan nan nan]
[ nan nan nan nan nan]
[ nan nan nan nan nan]
我对numpy和python一般都是新手,我希望找到每个二维子数组的最小值,给定一个三维数组。例如:
# construct an example 3D array
a = np.array([[5,4,1,5], [0,1,2,3], [3,2,8,1]]).astype(np.float32)
b = np.array([[3,2,9,3], [8,6,5,3], [6,7,2,8]]).astype(np.float32)
c = np.array([[9,7,6,5], [4,7,6,3], [1,2,3,4]]).astype(np.float32)
d = np.array([[5
假设我有一个形状为batch_size,T,d的张量,其中T是语音文件的帧数,d是MFCC的维度。现在我想扩展一下左侧和右侧框架的上下文,就像numpy中的这个函数:
def make_context(feature, left, right):
'''
Takes a 2-D numpy feature array, and pads each frame with a specified
number of frames on either side.
'''
feature = [feature]
for i in