>>> c = 1
>>> df = pd.DataFrame({
"
A
"
:a,
"
B
"
:b,
"
C
"
:c})
Traceback (most recent call last):
ValueError: arrays must all be same length
>>> df = pd.DataFrame([a,b])
# 作为list输入，list的元素必须也是list，加入c就错误
>>> df
0 1 2 3 4
0 1 2 3 4.0 5.0
1 a b c NaN NaN
#
统一一下字典每个元素值的长度
>>> b = [
"
a
"
,
"
b
"
,
"
c
"
,
"
d
"
,
"
e
"
]
>>> c = (
"
232
"
,
"
sdf
"
,
"
345
"
,
"
asd
"
,1
)
>>> df = pd.DataFrame({
"
A
"
:a,
"
B
"
:b,
"
C
"
:c})
A B C
0
1 a 232
1 2
b sdf
2 3 c 345
3 4
d asd
4 5 e 1
2、将多个key相同的字典列输入：
输入为一个list，该list各个元素为dict，且key可以不同（以含最多的key的字典的key为columns）：
>>> d1 = {"A":1,"B":2,"C":3}
>>> d2 = {"A":"a","B":"b",}
>>> d3 = {"A":(1,2),"B":"ab","C":3}
>>> li = [d1,d2,d3]
>>> df = pd.DataFrame(li)
A B C
0 1 2 3.0
1 a b NaN
2 (1, 2) ab 3.0
