将Pandas数据集转换为其值和列值

Question

我有一个字典，希望将其转换为具有两列（值和列名）的pandas数据框。

mydict = {'government agency': ['FBI', 'CIA','NSA'], 'international organization': ['EU', 'NATO', 'World Bank'], 'company': ['Amazon', 'Google', 'Microsoft']}

mydict=pd.DataFrame(mydict)

我希望表格的格式如下

而不是熊猫如何读取它：

我的字典数据结构是否需要更改，或者可以在熊猫中实现（例如pandas.melt）？

Answer 1

建立数据框并使用melt ：

pd.DataFrame(mydict).melt(var_name='Column')

                  Column             value
0           government agency         FBI
1           government agency         CIA
2           government agency         NSA
3  international organization          EU
4  international organization        NATO
5  international organization  World Bank
6                     company      Amazon
7                     company      Google
8                     company   Microsoft

Answer 2

这里是单线：

import pandas

mydict = {'government agency': ['FBI', 'CIA','NSA'], 'international organization': ['EU', 'NATO', 'World Bank'], 'company': ['Amazon', 'Google', 'Microsoft']}
df = pandas.DataFrame(data=[(k,v) for k in mydict for v in mydict[k]], columns=["value", "column"])

输出：

                        value      column
0                     company      Amazon
1                     company      Google
2                     company   Microsoft
3           government agency         FBI
4           government agency         CIA
5           government agency         NSA
6  international organization          EU
7  international organization        NATO
8  international organization  World Bank