(编辑：jimmy 日期: 2026/1/1 浏览：2)
1、将一个字典输入：
该字典必须满足：value是一个list类型的元素，且每一个key对应的value长度都相同：
（以该字典的key为columns）
> import pandas as pd
> a = [1,2,3,4,5]
> b = ["a","b","c"]
> 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})
> df
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)
> df
A B C
0 1 2 3.0
1 a b NaN
2 (1, 2) ab 3.0
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