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 40 1 2 3 4.0 5.01 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 C0 1 a 2321 2 b sdf2 3 c 3453 4 d asd4 5 e 12、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 C0 1 2 3.01 a b NaN2 (1, 2) ab 3.0以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持武林网。
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