读取具有多级列的文本文件，Python 3.6

我在没有标题的文本文件中有以下内容

"Africa","10000"
"Brazil","5432"
"India","7687"

"US","87686","Import"
"Itally","2322","Export"

我需要将上面的数据导入3字段数据框，我尝试了下面的脚本，但失败了

Data = pd.read_csv(FilePath, header=None, usecols=['One', 'Two', 'Three'], encoding='ISO-8859-1', dtype=object)

ValueError: Usecols do not match columns, columns expected but not found: ['Two', 'Three', 'One']

---

在中使用参数

names

来指定新列名称：

Data = pd.read_csv(FilePath, 
                   header=None, 
                   names=['One', 'Two', 'Three'], 
                   encoding='ISO-8859-1', 
                   dtype=object)

测试：

import pandas as pd
from io import StringIO


temp='''"Africa","10000"
"Brazil","5432"
"India","7687"

"US","87686","Import"
"Itally","2322","Export"'''
#after testing replace 'pd.compat.StringIO(temp)' to 'filename.csv'
Data = pd.read_csv(StringIO(temp), 
                   header=None, 
                   names=['One', 'Two', 'Three'], 
                   encoding='ISO-8859-1', 
                   dtype=object)
print (Data)
      One    Two   Three
0  Africa  10000     NaN
1  Brazil   5432     NaN
2   India   7687     NaN
3      US  87686  Import
4  Itally   2322  Export