从字典中创建 Python DataFrame，其中键是列名，值是行
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Create Python DataFrame from dictionary where keys are the column names and values form the row
提问by user3433489
I am familiar with python but new to panda DataFrames. I have a dictionary like this:
我熟悉 python 但不熟悉 Panda DataFrames。我有一本这样的字典：
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!
我想将其转换为 DataFrame，其中 b 和 c 是列名，第一行是 100,300（100 在 b 下方，300 在 c 下方）。我想要一个可以推广到更长字典的解决方案，其中包含更多项目。谢谢！
采纳答案by iayork
Pass the values as a list:
将值作为列表传递：
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:
或者，如果由于某种原因您不想使用列表，请包含一个索引：
a={'b':100,'c':300}
pd.DataFrame(a, index=['i',])
b c
i 100 300
回答by Liam Foley
Use lists as the values in the dictionary.
使用列表作为字典中的值。
import pandas as pd
a = {'b':[100,200],'c':[300,400]}
b = pd.DataFrame(a)
In [4]: b
Out[4]:
b c
0 100 300
1 200 400
