Python pandas在第1列的id，第2列的标题，第3列的值，第3列的值

我有一个CSV格式的数据:

"/some/page-1.md","title","My title 1"
"/some/page-1.md","description","My description 1"
"/some/page-1.md","type","Tutorial"
"/some/page-1.md","index","True"
"/some/page-2.md","title","My title 2"
"/some/page-2.md","description","My description 2"
"/some/page-2.md","type","Tutorial"
"/some/page-2.md","index","False"
"/some/page-2.md","custom_1","abc"
"/some/page-3.md","title","My title 3"
"/some/page-3.md","description","My description 3"
"/some/page-3.md","type","Tutorial"
"/some/page-3.md","index","True"
"/some/page-3.md","custom_2","def"

我正在读Pandas DataFrame:

df = pd.read_csv(csvFile, index_col=False, dtype=object, header=None)
print(df)

输出如下:

                  0            1                 2
0   /some/page-1.md        title        My title 1
1   /some/page-1.md  description  My description 1
2   /some/page-1.md         type          Tutorial
3   /some/page-1.md        index              True
4   /some/page-2.md        title        My title 2
5   /some/page-2.md  description  My description 2
6   /some/page-2.md         type          Tutorial
7   /some/page-2.md        index             False
8   /some/page-2.md     custom_1               abc
9   /some/page-3.md        title        My title 3
10  /some/page-3.md  description  My description 3
11  /some/page-3.md         type          Tutorial
12  /some/page-3.md        index              True
13  /some/page-3.md     custom_2               def

我想把它转换成下面的格式的DataFrame，其中第一个头是"file"，值来自第0列.其他标题取自第1列，值取自第2列:

              file       title       description      type  index  custom_1  custom_2
0  /some/page-1.md  My title 1  My description 1  Tutorial   True       NaN       NaN
1  /some/page-2.md  My title 2  My description 2  Tutorial  False       abc       NaN
2  /some/page-3.md  My title 3  My description 3  Tutorial   True       NaN       def

有没有一种方法可以用Pandas 做这个？