从字典创建Python DataFrame，其中键是列名，值构成行 [英] Create Python DataFrame from dictionary where keys are the column names and values form the row

问题描述

我熟悉python，但对panda DataFrames还是陌生的.我有一本这样的字典:

I am familiar with python but new to panda DataFrames. I have a dictionary like this:

a={'b':100,'c':300}

我想将其转换为DataFrame，其中b和c是列名，第一行是100,300(b在b之下，而300在c之下).我想要一个可以推广到更长的字典，包含更多项目的解决方案.谢谢！

And I would like to convert it to a DataFrame, where b and c are the column names, and the first row is 100,300 (100 is underneath b and 300 is underneath c). I would like a solution that can be generalized to a much longer dictionary, with many more items. Thank you!

推荐答案

将值作为列表传递:

a={'b':[100,],'c':[300,]}
pd.DataFrame(a)

     b    c
0  100  300

或者如果由于某种原因您不想使用列表，请添加索引:

Or if for some reason you don't want to use a list, include an index:

a={'b':100,'c':300}
pd.DataFrame(a, index=['i',])

     b    c
i  100  300

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