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Python does not come with its own numpy module. The release version on the Python official website does not include the NumPy module, so you need to install it yourself. Installation method: Directly use the "pip3 install --user numpy scipy matplotlib" command to install.
The operating environment of this tutorial: Windows 7 system, Python 3 version, Dell G3 computer.
Numpy is an open source numerical calculation extension for Python. It can be used to store and process large matrices. It is much more efficient than Python's own nested list structure. It provides many advanced numerical programming tools, such as : Matrix data types, vector processing, and sophisticated arithmetic libraries designed for rigorous number crunching.
The distribution version on the Python official website does not include the NumPy module.
Installation Library NumPy
The easiest way to install NumPy is to use the pip tool:
pip3 install --user numpy scipy matplotlib
--user option can be set to only install in the current user instead of writing to the system directory.
By default, foreign lines are used. Foreign lines are too slow. We can use Tsinghua University’s mirror:
pip3 install numpy scipy matplotlib -i https://pypi.tuna.tsinghua.edu.cn/simple
Using NumPy
1. NumPy provides It provides real array functionality and functions for fast processing of data.
2. NumPy is also a dependent library for many more advanced extension libraries. The SciPy, Matplotlib, pandas and other libraries we will introduce later all depend on it.
3. The data processing speed of umPy's built-in functions is C language level. Therefore, when writing programs, you should try to use its built-in functions to avoid efficiency bottlenecks (especially problems involving loops).
In the Windows operating system, the installation of NumPy is the same as the installation of ordinary third-party libraries. It can be carried out through the pip command. The command is as follows:
pip install numpy
You can also download the source code yourself and then use the following Command installation:
python setup.py install
Under the Linux operating system, the above method is also feasible. In addition, many Linux distributions have common Python libraries in their software sources, so they can also be installed through the software manager that comes with the Linux system. For example, under Ubuntu, you can use the following command to install:
sudo apt-get install python-numpy
Installation completed After that, you can use NumPy to operate on the data, as follows:
# -*- coding: utf-8 -* import numpy as np # 一般以np作为NumPy库的别名 a = np.array([2, 0, 1, 5]) # 创建数组 print(a) # 输出数组 print(a[:3]) # 引用前三个数字(切片) print(a.min()) # 输出a的最小值 a.sort() # 将a的元素从小到大排序,此操作直接修改a,因此这时候a为[0, 1, 2, 5] b= np.array([[1, 2, 3], [4, 5, 6]]) # 创建二维数组 print(b*b) # 输出数组的平方阵,即[[1, 4, 9], [16, 25, 36]]
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