[英]CSV file column minimum python
Name Gender Physics Maths
A 45 55
X 22 64
I have a csv file like the above.我有一个像上面这样的 csv 文件。 I want to find things like min, max etc based on subject I have figured out the list in the form [[A, 45, 55],[X, 22, 64]]
我想根据主题找到诸如最小、最大等之类的东西我已经以 [[A, 45, 55],[X, 22, 64]]
How do I separate the individual columns either from this list or from the whole csv file如何将此列表或整个 csv 文件中的各个列分开
I want to do this without csv module or pandas我想在没有 csv 模块或 pandas 的情况下执行此操作
for line in filename:
line2 = line.strip()
line2 = line2.split(',')
line_min = min(float(i) for i in line2)
minimum_marks.append(line_min)
#minimum_marks.append(minimum_grades)
print(minimum_marks)
I am getting an error我收到一个错误
line_min = min(float(i) for i in line2)
ValueError: could not convert string to float: 'C' ValueError:无法将字符串转换为浮点数:'C'
line_min = min(float(i) for i in line2)
ValueError: could not convert string to float: 'C'
ValueError:无法将字符串转换为浮点数:'C'
line2
is a list that looks something like this: line2
是一个看起来像这样的列表:
['Name', '88', '90']
Note that the first element is a name and can't be converted into an integer, so to fix your code use:请注意,第一个元素是名称,不能转换为 integer,因此要修复您的代码,请使用:
line_min = min(float(i) for i in line2[1:])
To remove the first item of the list删除列表的第一项
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