班级 \\ 成绩段 优秀 良好 及格 不及格 A 12 8 3 1 B 10 10 5 2 提示：用 cut + groupby + unstack 或 pivot_table 题目 4: 时间序列（进阶） 生成 90 天的销售数据，用 resample 按周和按月汇总： dates = pd.date_range ("2024-01-01", periods=90, freq="D") ...
This project performs exploratory data analysis (EDA) and sales forecasting for a retail dataset. It leverages Python libraries such as Pandas, Matplotlib, Seaborn, and Facebook Prophet to analyze ...
Python libraries are a fun and accessible way to get started with learning and using Python for SEO. A Python library is a collection of useful functions and code that allow you to complete a number ...
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