Numerical computation in Python data mining

First, environmental installation

Environment configuration:

os:red Hat 4.4.7-11

View command: uname-a: Information about the computer and the operating system

Cat/proc/version: Running kernel version

Cat/etc/issue: Release Release information

Installing the NumPy plugin: Yum install NumPy

The installation package information obtained is as follows:

=============================================================================================================== =
Package Arch Version Repository Size
=============================================================================================================== =
Installing:
NumPy x86_64 1.4.1-9.EL6 Base 2.3 M
Installing for dependencies:
Atlas x86_64 3.8.4-2.EL6 Base 2.8 M
Libgfortran x86_64 4.4.7-16.el6 Base 267 k
Python-nose Noarch 0.10.4-3.1.el6 Base K
Python-setuptools Noarch 0.6.10-3.el6 base 336 k

Transaction Summary
=============================================================================================================== =
Install 5 Package (s)

Total Download size:6.0 M
Installed size:24 M
Is this OK [y/n]: Y

Second, numerical operation

1. Calculate the Euclidean distance between two vectors

Vector_one = Array ([0,1,1,0,0,0])

Vector_two = Array ([1,0,0,1,0,0])

Dist = Linalg.norm (vector_one-vector_two) # # #result = 2.0

2. Create a matrix

Martix = Array ([[[1,0,0,0,0,0],[0,1,0,0,0,0],[0,0,1,0,0,0],[0,0,0,1,0,0],[0,0,0,0,1,0],[0,0,0,0,0,1],[1,1,1,1,1,1 ]])

Get the number of rows and columns of the matrix:

Number of rows: martix.shape[0] columns: martix.shape[1]

Numerical computation in Python data mining