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

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

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!

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## Answer

Pass the values as a list:

a={'b':[100,],'c':[300,]} pd.DataFrame(a) b c 0 100 300

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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