将对象数据类型转换为python中的字符串问题

问题描述

如何将对象dtype结构转换为字符串dtype?下面的方法不起作用，用.astype

How can I convert an object dtype structure to a string dtype? The method below is not working and the column remains object after converting to a string with .astype

import pandas as pd
df = pd.DataFrame({'country': ['A', 'B', 'C', 'D', 'E']})

df.dtypes
#country    object
#dtype: object

df['county'] = df['country'].astype(str)

df.dtypes
#country    object
#dtype: object

推荐答案

object是能够容纳字符串或dtypes的任意组合的默认容器.

object is the default container capable of holding strings, or any combination of dtypes.

如果您使用的是熊猫版本< '1.0.0'这是您唯一的选择.如果您使用的是pd.__version__ >= '1.0.0'，则可以使用新的实验性pd.StringDtype() dtype .作为实验，行为在将来的版本中可能会有所更改，因此使用后果自负.

If you are using a version of pandas < '1.0.0' this is your only option. If you are using pd.__version__ >= '1.0.0' then you can use the new experimental pd.StringDtype() dtype. Being experimental, the behavior is subject to change in future versions, so use at your own risk.

df.dtypes
#country    object

# .astype(str) and .astype('str') keep the column as object.
df['country'] = df['country'].astype(str)
df.dtypes
#country    object

df['country'] = df['country'].astype(pd.StringDtype())
df.dtypes
#country    string

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