Installation tutorial and simple call of Matplotlib

Hello everyone , I meet you again , I'm your friend, Quan Jun .

Catalog

• 1.matplotlib The download
• 2. The roses

1.matplotlib The download

Our normal download method is to enter ：pip install matplotlib, So you can download it from the official , But the download speed is very slow , We are The most detailed Anaconda Installers Installation 【numpy,jupyter】（ chart + writing ） This blog once wrote , Can be in pip install matplotlib Add after -i https://pypi.tuna.tsinghua.edu.cn/simple, This is to download from the address of Tsinghua , Download much faster , If we add a new module every time we download it -i https://pypi.tuna.tsinghua.edu.cn/simple, It's really a troublesome big project , So is there a way to do it once and for all ？ That is, how to specify the download from Tsinghua University ？

We find C disc , Find our users , Click in user name , And then create a pip Folder ：

Then open the downloaded compressed package , find pip.ini file Download zip ： link ：https://pan.baidu.com/s/1y32LXxZ9Yx8GOn6YYlvwfw Extraction code ：6sl5

Drag this file into the newly created pip In the folder ：

such , We will configure the download address , We can type in pip install matplotlib, The default installed website is the website of Tsinghua University , There is no need to write -i https://pypi.tuna.tsinghua.edu.cn/simple

️ notes ： If you have followed the blogger according to the blog ： The most detailed Anaconda Installers Installation 【numpy,jupyter】（ chart + writing ） Installed Anaconda Installers, So before you enter pip install matplotlib after , Will be displayed ：

This is because you have already installed matplotlib, There is no need to repeat the installation , Can be used directly

After installed , We can log in to our jupyter To run ：

2. The roses

Our data ：

link ：https://pan.baidu.com/s/1VaPHJa6YttfnedO0ewDRtQ Extraction code ：5u92

After downloading the data , Move it into our folder ：（ Download directly to the desktop , Find the location of the folder , Then drag it in ）, It is suggested to compare this picture with jupyter Created on Python3 The code is in the same folder , In this way, you can operate according to the blogger's figure below , Otherwise, you need to find the path of the image file by yourself .

We call our imread Methods to check the flower before us .

It can be seen that , This is a three-dimensional array , We can also use shape Or is it ndim To view the ：

Why are there three dimensions ？ This is because a picture has ： Height , Width , Color Where is calling shape The three parameters displayed ：（1200, 1920, 4） Represent the ： Height pixel , Width pixels , Color channel .

Now? , Let's call imshow() Function to display this flower ：

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