4、Financial Data Preprocessing: Techniques and Applications

java5

于 2025-08-01 10:01:12 发布

阅读量59

点赞数

CC 4.0 BY-SA版权

分类专栏： Python金融实战指南文章标签： Financial Data Preprocessing Time Series Analysis

本文链接：https://blog.youkuaiyun.com/java5/article/details/151311736

Python金融实战指南专栏收录该内容

41 篇文章 ¥499.90

订阅专栏¥69.90

会员秒杀 ¥9.9 重磅福利

超级会员免费看

Financial Data Preprocessing: Techniques and Applications

1. Filtering DataFrames

When dealing with data analysis, filtering a DataFrame to focus on specific observations is a common task. For instance, if you want to view the top 12 observations of monthly data from the year 2010 onward in a DataFrame named df_cpi_2 , you can use the following code:

df_cpi_2.query("period_type == 'monthly' and year >= 2010") \
        .loc[:, ["date", "value"]] \
        .set_index("date") \
        .head(12)

This code first uses the query method to filter the DataFrame based on the conditions period_type == 'monthly' and year >= 2010 . Then, it selects