在python pandas的数据框中为具有选定列的每行数据创建哈希值 [英] Create hash value for each row of data with selected columns in dataframe in python pandas

问题描述

我问过类似的问题 在 R 中关于为每行数据创建哈希值.我知道我可以使用诸如 hashlib.md5(b'Hello World').hexdigest() 之类的东西来散列一个字符串，但是数据帧中的一行呢?

I have asked similar question in R about creating hash value for each row of data. I know that I can use something like hashlib.md5(b'Hello World').hexdigest() to hash a string, but how about a row in a dataframe?

我已经起草了我的代码如下:

I have drafted my code as below:

for index, row in course_staff_df.iterrows():
        temp_df.loc[index,'hash'] = hashlib.md5(str(row[['cola','colb']].values)).hexdigest()

对我来说似乎不是很pythonic，有什么更好的解决方案吗?

It seems not very pythonic to me, any better solution?

推荐答案

现在可以在 pandas.util.hash_pandas_object:

This is now available in pandas.util.hash_pandas_object:

pandas.util.hash_pandas_object(df)

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