Pandas学习笔记（5) Data Types and Missing Values

1.理论部分
1.用dtype函数查看数据类型
reviews.price.dtype

dtype('float64')

reviews.dtypes

country object
description object
...
variety object
winery object
Length: 13, dtype: object

2.用astype函数更换数据类型
reviews.points.astype('float64')

0 87.0
1 87.0
...
129969 90.0
129970 90.0
Name: points, Length: 129971, dtype: float64

3.通过isnull函数查找

Pandas学习笔记（5) Data Types and Missing Values最先出现在Python成神之路。