PyG Walker Visualization

“PyG Walker” 开源可视化工具

可实现基于jupyter, kaggle和Colab的数据分析

E.g. Jupter Notebook

import pandas as pd
import pygwalker as pyg

df = pd.read_csv('random_data.csv')
mydata = pyg.walk(df)

# Data statistics and visualization schematic are as follows:

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配色是一门艺术🎨

Great Color Palette adopted in this article

三色渐变：linear-gradient(135deg,#8a7bbf 0%,#6f60aa 30%,#473C7A 60%,#2E294E 100%)
四色翻转：-webkit-linear-gradient(90deg,#462f76,#dd4660,#473c7a,#74ed97)
三色翻转（暗橙色）-webkit-linear-gradient(90deg,#382f67,#dd4660,#923b2f)
三色翻转（淡金色）-webkit-linear-gradient(90deg,#382f67,#e2ba9d,#dc9d6f)

Here is the editable Nobel Prize profile for this section.

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Inserting Python Code

Use Hexo’s built-in Markdown syntax to highlight code blocks. For Python, use the following syntax:

# testing Python code
def greet(name):
    return f"Hello, {name}!"
print(greet('MY GREETING VISTORs'))