CSV文件中的两组数据

时间:2016-11-18 18:08:47

标签: python python-2.7 csv

我有一个CSV文件,在同一张纸上有两组数据。我做了我的研究,我能找到的最接近的是我所附的。我遇到的问题是它们都不是表格,它们是单独的数据集;两者都被许多行分开。我想将每个数据集保存为单独的CSV。这在Python中可行吗?请提供您的帮助。

Python CSV module: How can I account for multiple tables within the same file?

第一集:

Presented_By:        Source:             City:
Chris                Realtor             Knoxville
John                 Engineer            Lantana
Wade                 Doctor              Birmingham

第二集:

DriveBy               15
BillBoard             45
Social Media          85

我的来源是一个Excel文件,我将其转换为CSV文件。

import pandas as pd
data_xls = pd.read_excel('T:\DataDump\Matthews\REPORT 11.13.16.xlsm', 'InfoCenterTracker', index_col=None)
data_xls.to_csv('your_csv.csv', encoding='utf-8')

second_set = pd.read_csv('your_csv.csv',skiprows=[10,11,12,13,14,15,16,17,18,19,20,21,22,23,23])

1 个答案:

答案 0 :(得分:1)

在pandas'skiprows

中使用read_csv
$ cat d.dat
Presented_By:        Source:             City:
Chris                Realtor             Knoxville
John                 Engineer            Lantana
Wade                 Doctor              Birmingham
DriveBy               15
BillBoard             45
Social Media          85

In [1]: import pandas as pd
In [2]: pd.read_csv('d.dat',skiprows=[0,1,2,3])
Out[2]: 
   DriveBy               15
0  BillBoard             45
1  Social Media          85

In [3]: pd.read_csv('d.dat',skiprows=[4,5,6])
Out[3]: 
      Presented_By:        Source:             City:
0  Chris                Realtor             Knoxv...
1   John                 Engineer            Lantana
2  Wade                 Doctor              Birmi...

通过搜索csv有2个条目而不是3

时,您可以检测要跳过的行
In [25]: for n, line in enumerate(open('d.dat','r').readlines()):
    ...:     if len(line.split()) !=3:
    ...:        breakpoint = n
    ...:    
In [26]: pd.read_csv('d.dat',skiprows=range(breakpoint-1))
Out[26]: 
   DriveBy               15
0  BillBoard             45
1  Social Media          85

In [27]: pd.read_csv('d.dat',skiprows=range(breakpoint-1, n+1))
Out[27]: 
      Presented_By:        Source:             City:
0  Chris                Realtor             Knoxv...
1   John                 Engineer            Lantana
2  Wade                 Doctor              Birmi...