从SQLAlchemy Join处理Pandas DataFrame构造函数中的重复列 [英] Handling Duplicate Columns in Pandas DataFrame constructor from SQLAlchemy Join

问题描述

我知道read_csv具有mangle_dup_cols，但是发出后如何在sqlalchemy中通过sql join执行同样的操作:

I know that read_csv has mangle_dup_cols but how can I do the same from a sql join in sqlalchemy after issuing:

pd.DataFrame(result.fetchall(), columns=result.keys())

在使用df.info()时出现错误，因为列名是重复的.

which gives me an error when using df.info() because of dupe col names.

推荐答案

您可以创建自己的帮助程序功能，该功能可以处理列名.我从 io.parsers._infer_columns :

You can create your own helper function which mangles column names. The code below I copied from the io.parsers._infer_columns:

def mangle_dupe_cols(columns):
    counts = {}
    for i, col in enumerate(columns):
        cur_count = counts.get(col, 0)
        if cur_count > 0:
            columns[i] = '%s.%d' % (col, cur_count)
        counts[col] = cur_count + 1
    return columns

pd.DataFrame(result.fetchall(), columns=mangle_dupe_cols(result.keys()))

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