如何在 pandas 中设置第一列和第一行作为索引? [英] How to set in pandas the first column and row as index?

问题描述

当我读入 CSV 文件时，我可以说 pd.read_csv('my.csv', index_col=3) 并将第三列设置为索引.

When I read in a CSV, I can say pd.read_csv('my.csv', index_col=3) and it sets the third column as index.

如果我的内存中有一个 Pandas 数据框，我该怎么做?我怎么能说将第一行也用作索引?第一列第一行是字符串，矩阵的其余部分是整数.

How can I do the same if I have a pandas dataframe in memory? And how can I say to use the first row also as an index? The first column and row are strings, rest of the matrix is integer.

推荐答案

不管行数多少都可以试试

You can try this regardless of the number of rows

df = pd.read_csv('data.csv', index_col=0)

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