


Detailed explanation of examples of drawing graphics with python
1. Environment
System: windows10
python version: python3.6.1
Libraries used: matplotlib, numpy
2. Several ways for the numpy library to generate random numbers
numpy.random##random_integers(low,high,size)
1
import numpy
as
np
Copy after login
rand(d0, d1 , ..., dn) In [2]: x=np.random.rand(2,5)
In [3]: x
Out[3 ]:
array([[ 0.84286554, 0.50007593, 0.66500549, 0.97387807, 0.03993009],
[ 0.46391661, 0.50717355, 0.21527461 , 0.92692517, 0.2567891 ]])randn(d0, d1, ..., dn) query result is standard normal distribution
In [4]: x=np.random.randn(2, 5)
In [5]: x
Out[5]:
array([[-0.77195196, 0.26651203, -0.35045793, -0.0210377, 0.89749635],
[-0.20229338, 1.44 852833 , -0.10858996, -1.65034606, -0.39793635]])randint(low,high,size) Generate between low and high (Half-open interval [low, high)), size data
In [6]: x=np.random.randint(1,8,4)
In [7]: x
Out[7]: array([4, 4, 2, 7])Generate size data between low and high (closed interval [low, high))In [10]: x=np.random.random_integers(2,10,5)In [11]: x Out[11]: array([7, 4, 5, 4, 2])
3.Scatter chart
1 2 3 4 5 6 |
|
1 2 3 4 5 |
|
##4. Line chart
1 2 3 4 |
|
5. Bar chart
1 2 3 4 5 6 7 8 |
|
orientation set horizontal bar chart
1
2
3
4
5
6
7
N=5
y=[20,10,30,25,15]
y1=np.random.randint(10,50,5)
x=np.random.randint(10,1000,N)
index=np.arange(N)# plt.bar(left=index,height=y,color='red',width=0.3)# plt.bar(left=index+0.3,height=y1,color='black',width=0.3)#plt.barh() 加了h就是横向的条形图,不用设置orientation
plt.bar(left=0,bottom=index,width=y,color='red',height=0.5,orientation='horizontal')
plt.show()
Copy after login##6. Histogram
1 2 3 4 5 |
|
1
# #双变量的直方图# #颜色越深频率越高# #研究双变量的联合分布
Copy after login
1
2
3
4
5
#双变量的直方图#颜色越深频率越高#研究双变量的联合分布
x=np.random.rand(1000)+2
y=np.random.rand(1000)+3
plt.hist2d(x,y,bins=40)
plt.show()
Copy after login
7. Pie Chart
1 |
|
1 |
|
1 2 3 4 5 6 |
|
8. Box plot
1 |
|
1 |
|
The above is the detailed content of Detailed explanation of examples of drawing graphics with python. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
