[英]python 2.7 - csv file pull data from 2 columns
So I have a csv file and I need to find only the specific lines that match a criteria and then count how many occurrences of those lines are.所以我有一个 csv 文件,我只需要找到符合条件的特定行,然后计算这些行出现的次数。
Example file:示例文件:
col1 col2 col3
david1
david2
david3
david4
david1 sev5
david1 sev5
david1 sev4
david2 sev5
david2 sev1
david3 sev5
david3 sev2
david3 sev2
david4 sev1
The desired info I need is to only find lines that match for example:我需要的所需信息是只找到匹配的行,例如:
david1 : sev5
david1 : sev4
david3 : sev2
And then give me a total of how many it has found.然后给我一共找到了多少。
I've searched around using dictionaries and lists but for some reason I just don't understand how they could skip over certain sections of the file and then count specific lines that match a search.我已经使用字典和列表进行了搜索,但出于某种原因,我只是不明白他们如何跳过文件的某些部分,然后计算与搜索匹配的特定行。
I very much still have my 'L' plates on python and some kind help would be appreciated.我在 python 上仍然有我的“L”牌,一些帮助将不胜感激。
Thanks谢谢
try this:尝试这个:
list_of_line = []
result1 = []
result2 = []
result3 = []
file.csv = open("some.csv","r")
for l in file.csv:
l = l.split(" ")
for i in l:
x = i[2]
if x == "sev5":
result1.append(x)
if x == "sev4":
result.append(x)
print len(result1)
print len(result2)
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