Solutions for empty values when Pandas exports Excel files

Solutions for empty values ​​when Pandas exports Excel files

When using the Pandas library in Python for data processing, it is often necessary to export the processed results to an Excel file. However, when exporting Excel files using Pandas' to_excel() method, sometimes null values ​​appear, which may be due to data loss for some reason. So, how do we solve this problem? This article describes a solution for this situation.

First, we need to understand the parameters of the to_excel() method in Pandas. The two most important parameters are sheet_name and na_rep. sheet_name is the name of the Excel sheet to save to, and na_rep is the string to use to represent missing values.

Next, we can first replace all NaN values ​​with the specified string through the following code:

import pandas as pd

# 读取数据
data = pd.read_csv("data.csv")

# 将NaN值替换为指定的字符串
data.fillna(

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Origin blog.csdn.net/qq_33885122/article/details/132217905