Article Directory Reproduce picture Set the working path and load related R packages Read the data set data visualization Calculate mean and standard deviation Visualization process Follow the “Nature” official publication to learn graphing, and today I reproduce a dual-axis graph in the Nature article – a grouped histogram on the left and a line […]
Tag: plot
041-Third generation software development-QCustcomPlot waveform annotation
Third generation software development-QCustcomPlot waveform annotation Article directory Third generation software development-QCustcomPlot waveform annotation Project Introduction QCustcomPlot waveform annotation Effect initialization draw Keywords: Qt、 Qml、 Keyword 3, Keyword 4, Keyword 5 Project introduction Welcome to our QML & C++ project! This project combines the power of QML (Qt Meta-Object Language) and C++ to develop excellent […]
Qwt QwtPlotMultiBarChart draws a multi-column bar chart
1. Overview QwtPlotMultiBarChart is a class in the Qwt drawing library used to draw multi-column bar charts. It can display multiple bars and group them into different categories. Bars under each category can have different colors and widths. The following is a class inheritance diagram: 2. Commonly used methods Setup data: void setSamples (const QVector< […]
[Teng Xuehui’s second experimental code] Apply Matplotlib to draw icon analysis
import matplotlib.pyplot as plt import numpy as np Pictures displayed inside #Jupter Notebook %matplotlib inline #1.1.1 Line graph np.random.seed(42) #Generate random seeds y = np.random.randn(30) #Generate random numbers plt.plot(y, “r–o”)#Plot: red–dashed line–circle # 1.1.2 Line color, line type, mark shape x = np.random.randn(30) y = np.random.randn(30) plt.title(“Example”) plt.title(“Example”) y1 = np.random.randn(30)#Generate random numbers y2 = […]
Data analysis—-Matplotlib
1. Introduction Matplotlib is a Python 2D plotting library that produces publication-quality graphics in a variety of hardcopy formats and in a cross-platform interactive environment. (Excerpted from Baidu Encyclopedia) 2. Import Need to import before use import matplotlib.pyplot as plt 3. Display charts By default, the image is not displayed directly, and the plt.show() function […]
Pandas+Matplotlib, an in-depth introduction to Python data analysis
Explore charts with visualization 1. Data visualization and exploration diagram Data visualization refers to the presentation of data in the form of graphics or tables. Charts can clearly present the nature of data and the relationships between data or attributes, making it easy for people to interpret the chart. Through the Exploratory Graph, users can […]
The Three Musketeers of Python Data Analysis: Pandas, Matplotlib and Seaborn
Python has powerful data analysis and processing capabilities. To use Python for data analysis, you need to master the three Python packages pandas, matplotlib, and seaborn. Mastering the knowledge of Python data analysis can help us better discover what is behind the data. laws and trends to provide support for business decisions. Reading data using […]
Add 2 statements to solve the problem of cufflinks’ .iplot not displaying pictures
Environment: jupyter notebook, win7, win10, chrome browser, edge browser, bug: .iplot of cufflinks does not display images The phenomenon is: 1 – Use matplotlib.pyplot to display images. 2 – Plotly’s iplot method can save pictures to a folder, but using plotly’s iplot method, jupyter notebook does not display pictures. It means that the problem is […]
Solve matplotlib\cbook\deprecation.py:107: MatplotlibDeprecationWarning: Passing one of on, true,
Table of Contents Solve matplotlib\cbook\deprecation.py:107: MatplotlibDeprecationWarning: Passing one of ‘on’, ‘true’ as a string is deprecated. Problem Description Solution 1. Use Boolean values instead of strings 2. Remove parameters 3. Update Matplotlib version Summarize 1. Example 1: Draw a chart with a grid 2. Example 2: Adjust the aspect ratio of the chart Introduction to […]
The Three Musketeers of Python Data Analysis: Pandas, Matplotlib and Seaborn
Python has powerful data analysis and processing capabilities. To use Python for data analysis, you need to master the three Python packages: pandas, matplotlib, and seaborn. Mastering the knowledge of Python data analysis can help us better discover data. The laws and trends behind it provide support for business decisions. Reading data using Pandas First, […]