Prerequisite: Linear Algebra | Defining a Vector

先决条件： 线性代数| 定义向量

Linear algebra is the branch of mathematics concerning linear equations by using vector spaces and through matrices. In other words, a vector is a matrix in n-dimensional space with only one column. In the sequence of learning linear algebra using python, this is article 4. In some of the problems, we need to use a particular component of the vector.

线性代数是使用向量空间和矩阵的线性方程组的数学分支。 换句话说，向量是n维空间中只有一列的矩阵。 在使用python学习线性代数的过程中，这是第4条。在某些问题中，我们需要使用向量的特定分量。

For example: Let a vector a = [4, 9, 7], this is a 3 dimensional vector (x,y and z)

例如：令向量a = [4、9、7]，这是3维向量(x，y和z)

So, if we need to call the y^th component of the vector, we are talking about the corresponding value 9.

因此，如果我们需要调用向量的^第 y ^个分量，我们正在讨论的是对应的值9。

In the python code, we will first define a vector and then we will call its 4^th component.

在python代码中，我们将首先定义一个向量，然后将其称为第4 ^个组件。

用于调用向量的^第 i维分量的Python代码 (Python code for calling i^th dimensional Component of Vector )

# Vectors in Linear Algebra
a = [3, 5, -5, 8]
print("Vector a = ", a)
# This is a 4-dimensional vector
i = int(input("type dimensional component you want to know: "))
print("Vector's", i," dimensional component = ", a[i-1])

Output

输出量

Vector a =  [3, 5, -5, 8]
type dimensional component you want to know: 4
Vector's 4  dimensional component =  8

翻译自: https://www.includehelp.com/python/calling-ith-dimensional-component-of-vector.aspx