如何使用标记字符串从csv文件检索行

Question

I have a CSV file contains data like this:

I have write down a code which is able to retrieve the rows which contains "Active" at second column "outcome":

Data:

No,Outcome,target,result
1,Active,PGS2,positive
2,inactive,IM2,negative
3,inactive,IGI,positive
4,Active,IIL,positive
5,Active,P53,negative

Code:

new_file  = open(my_file)
lines  = new_file.readlines()
for line in lines:
    if "Active" in line:
        print line,

Outcome:

No,Outcome,target,result
1,Active,PGS2,positive
4,Active,IIL,positive
5,Active,P53,negative

How can i write down this code using pandas library so that i can make this code shorter if i am using pandas functionality after retrieving the rows.

Also this code is not suitable when you have "Active" key word same where else in yor row because that can retrieve a false row. I found after previewing some posts that "pandas" is very suitable library for CSV Handling.

Answer 1

Why not just filter this aftewards, it will be faster than parsing line by line. Just do this:

In [172]:

df[df['Outcome']=='Active']
Out[172]:
   No Outcome target    result
0   1  Active   PGS2  positive
3   4  Active    IIL  positive
4   5  Active    P53  negative