Converting python lists to pd.DataFrame

Question

If I have 3 python lists items:

list1 = [1,2,3]
list2 = ['a','b','c']
list3 = ['I',"II","III"]

And my goal is to build a pd.DataFrame using list1 as index and the rest as columns:

     list2    list3
1     "a"     "I"
2     "b"     "II"
3     "c"     "III"

What would be the most efficient way to do it? Most of the similar questions I found here are joining list of lists or dictionary , but my data only has a simple structure and a natural order, so it should be simpler?

I have checked both pd.Series and pd.DataFrame documentation, but examples are also mostly about joining Series or DataFrame together.

Answer 1

Use the DataFrame constructor:

In [1]: import pandas as pd, numpy as np

In [2]: list1 = [1,2,3]

In [3]: list2 = ['a','b','c']

In [4]: list3 = ['I',"II","III"]

In [5]: pd.DataFrame({'list2':list2,'list3':list3}, index=list1)
Out[5]: 
  list2 list3
1     a     I
2     b    II
3     c   III

In [6]: