pandas read_csv(path,dtype)按类型读取字段

参考pandas21 读csv文件read_csv(3.dtypes指定列数据类型)(详细 tcy)_tcy23456的博客-CSDN博客_readcsv数据类型

假设数据是这样的:

id,name,age,depart,career,imageCount

0001,张不错,10,sdsdsd,sdsdsd,1

0002,张学友,10,sdsdsd,ssdsdsd,1

如果read_csv()这样写:

import pandas as pd

df = pd.read_csv('person.csv')

for index in df.index:

temp = df.loc[index].values

print(temp)

---

[1 '张不错' 10 'sdsdsd' 'sdsdsd' 1]

[2 '张学友' 10 'sdsdsd' 'ssdsdsd' 1]

可以看到id被处理成int了,所以在读取时需要指定类型:

dtype = {

'id' : str,

'name' : str,

'age' : str,

'depart' : str,

'career' : str,

'imageCount' : int

}

df = pd.read_csv('person.csv',dtype=dtype)

for index in df.index:

temp = df.loc[index].values

print(temp)

---

['0001' '张不错' '10' 'sdsdsd' 'sdsdsd' 1]

['0002' '张学友' '10' 'sdsdsd' 'ssdsdsd' 1]

参考阅读

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