pandas 将熊猫数据框转换为元组列表
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Convert pandas dataframe to list of tuples
提问by psteelk
I have a sample dataframe as follows
我有一个示例数据框如下
>>> df
a b
0 1 2
1 3 4
I want to convert this to a list of tuples. I tried using itertuples()for the same
我想将其转换为元组列表。我尝试使用itertuples()相同的
>>> list(df.T.itertuples())
[('a', 1, 3), ('b', 2, 4)]
But, I want the result to be of the format [('a', [1, 3]), ('b', [2, 4])] wherein the first value of the tuple is the column name and the second item in the tuple is a list of column values.
但是，我希望结果的格式为 [('a', [1, 3]), ('b', [2, 4])] 其中元组的第一个值是列名，第二个值是元组中的项目是列值列表。
I know this can be done by looping through all column names and manually constructing the list of tuples. I'm just wondering if there is a smarter way to do this.
我知道这可以通过遍历所有列名并手动构建元组列表来完成。我只是想知道是否有更聪明的方法来做到这一点。
回答by EdChum
You can zip the column names with the values as lists:
您可以使用列表形式压缩列名称：
In [127]:
list(zip(df.columns,df.T.values.tolist()))
Out[127]:
[('a', [1, 3]), ('b', [2, 4])]
