Possible data inputs to DataFrame constructor

Possible data inputs to DataFrame constructor:

import pandas as pd

import numpy as np

(1) 2D ndarray

pd.DataFrame(np.arange(12).reshape(3,4))

	0	1	2	3
0	0	1	2	3
1	4	5	6	7
2	8	9	10	11

(2)dict of arrays,lists,tuples or series

pd.DataFrame({'a':[1,2,3],'b':[2,3,4],'c':[4,5,6]})

	a	b	c
0	1	2	4
1	2	3	5
2	3	4	6

pd.DataFrame({'a':np.array([1,2,3]),'b':np.array([2,3,4]),'c':np.arange(3)})

	a	b	c
0	1	2	0
1	2	3	1
2	3	4	2

a=pd.Series([1,2,3]);b=pd.Series([2,3,4]);c=pd.Series([0,1,2])

pd.DataFrame({'a':a,'b':b,'c':c})

	a	b	c
0	1	2	0
1	2	3	1
2	3	4	2

(3)dict of dicts

pd.DataFrame({'a':{0:1,1:2,2:3},'b':{0:2,1:3,2:3},'c':{0:0,1:1,2:2}})

	a	b	c
0	1	2	0
1	2	3	1
2	3	3	2

(4)list of lists or tuples

a=pd.DataFrame([[1,2,3],[2,3,4],[0,1,2]],index=['aa','bb','cc'],columns=['a','b','c']);a

	a	b	c
aa	1	2	3
bb	2	3	4
cc	0	1	2

(5)another DataFrame's values

pd.DataFrame(a.values,index=['naa','nbb','ncc'],columns=['na','nb','nc']) #Note that,using a.values

	na	nb	nc
naa	1	2	3
nbb	2	3	4
ncc	0	1	2