Скачать или смотреть Make Professional Figures 5X Faster Using Matplotlib

Making beautiful, professional data visualizations in Python often takes hours - but it doesn’t have to.

In this video, you’ll learn a clean, efficient workflow for creating high-quality plots using Pandas and Matplotlib — from quick data exploration to final high-resolution figure export. Whether you need figures for presentations, posters, or papers, these techniques will save you a significant amount of time wrestling with finicky plotting APIs.

We’ll go step-by-step through:

Using Pandas to organize and visualize your data

Moving from quick prototypes to professional figures in Matplotlib

Grouping data elegantly with groupby()

Managing colors, markers, and legends with configuration dictionaries

Keeping your fonts consistent across plots using keyword unpacking

Exporting crisp, high-DPI figures using the non-interactive AGG backend

By the end, you’ll know how to develop clean, scalable plotting workflows for figures that look great in papers, posters, and presentations.

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Chapters:
0:00 - Intro
0:28 - Getting Started with Data
1:07 - Basic Plotting with Pandas
2:06 - Switching to Matplotlib
3:32 - Using GroupBy for easy label styling
5:51 - Using a dictionary to centralize settings
6:48 - Creating a font settings dictionary to unpack
7:58 - Exporting our figure
10:40 - Summary
11:15 - Outro