在本文中,我们将展示如何使用Python中NumPy库的array()函数将字典转换为矩阵或NumPy数组。 有时需要将Python中的字典转换为NumPy数组,Python提供了一种高效的方法来实现这一点。将字典转换为NumPy数组会得到一个包含字典中键值对的数组。 在本节中,我们将查看将各种类型的字典转换为Python中NumPy数组的示例。
The results are numpy arrays so to perform matrix multiplication you need to use the @ operator, for example rotx(0.3) @ roty(0.2) We also support multiple ways of passing vector information to functions that require it: as separate positional arguments transl2(1, 2) array([[1., 0.,...
import sympy theta = sym.symbols('theta') print(rotx(theta)) [[1 0 0] [0 cos(theta) -sin(theta)] [0 sin(theta) cos(theta)]] The resultingnumpyarray is an array of symbolic objects not numbers – the constants are also symbolic objects. You can read the elements of the matrix ...