Python data analysis completed in 6 steps! 1. Import libraries, typically including libraries for data reading, visualization, and machine learning. 2. Data input, which can be from local CSV or Excel files, or datasets included with machine learning packages. 3. Data processing, usually involves examining the overall situation of the data, handling duplicates and missing … Read more
1. Matplotlib The most basic and widely used Python plotting library import matplotlib.pyplot as plt import numpy as np # Create data x = np.linspace(0, 10, 100) y = np.sin(x) # Plot line chart plt.figure(figsize=(10, 6)) plt.plot(x, y, 'b-', linewidth=2, label='sin(x)') plt.title('Sine Function') plt.xlabel('x') plt.ylabel('sin(x)') plt.legend() plt.grid(True) plt.show() 2. Seaborn High-level statistical data visualization library … Read more
Download Anaconda, create a virtual environment. The best option is to have a notebook with Ubuntu, which supports it natively and seems to process much faster and is easier to use. I had one before, but I don’t have it now, mainly due to some twists and turns, so I won’t go into detail. I … Read more
In daily work, evaluating seismic activity often involves simple numerical analysis of the earthquake catalog regarding time, space, and intensity. Previously, I used Mapsis, which is very powerful, and Professor Li is great. However, the version of Mapsis I have is quite old, and it seems there is no new version available. I am not … Read more
Long time no see, friends. In the last issue, we shared the method for creating scatter plots. In this issue, we will share a special method for creating scatter plots—bubble charts. A bubble chart is an enhanced version of a scatter plot. A regular scatter plot can only express the relationship between the x-axis and … Read more
Data visualization is not only a crucial part of data analysis but also a bridge for communication and presentation. As a leader in the field of scientific computing, MATLAB offers an extremely rich and powerful visualization capability. This article will guide you to master various graphing techniques in MATLAB comprehensively! Let’s go! 1. Basic 2D … Read more
Understanding what to learn in Python❗ Avoid detours and pitfalls✅📌 When learning data analysis, Python is the most challenging and final part of the learning process. So, what should you learn in Python for data analysis❓To use Python for data analysis, mastering the basics of Python is essential. Without a foundation, you may not even … Read more
Learning programming is like building with blocks, accumulating a sense of achievement bit by bit. If you want to try different learning methods, you can explore CodeCombat, which makes learning Python easy and fun through gamification.Python is indeed powerful and has a wide range of applications, making it easy to get started. The more you … Read more
The reason I wanted to learn about Python programming is that AI is developing too quickly now, and everything relies on programming. Therefore, I wanted to understand the logic and rules of the most popular programming language today. I asked several AI platforms for recommendations on books about Python programming, and this book ranked in … Read more
Previously, we shared the method for drawing multiple bar charts (Matlab publication-level illustration drawing template – bar chart): We have also shared the method for drawing partitioned bar charts (Advanced Matlab Plotting Issue 67 – Partitioned Bar Chart): Partitioned bar charts essentially group the same category (color) parts of multiple bar charts together. Multiple bar … Read more