[英]read csv file row by row
I am using Python v2.7 (please don't ask me to use Python v3). 我正在使用Python v2.7(请不要让我使用Python v3)。 I have a csv file, its content is like this:
我有一个csv文件,其内容如下:
name age gender height
John 30 male 180
Kate 23 female 166
...
I use csv
module. 我使用
csv
模块。 I try to read the content row by row with the following code: 我尝试使用以下代码逐行读取内容:
import csv
with open("data.csv", 'r') as data_file:
reader = csv.reader(data_file, delimiter='\t')
# ERROR: ValueError: need more than 2 values to unpack
for name, age, gender, height in enumerate(reader):
print name + ',' + age + ',' + gender + ',' + height
But I got error when run it: 但是运行它时出现错误:
ValueError: need more than 2 values to unpack
How to get rid of this error? 如何摆脱这个错误?
The issue that enumerate returns a tuple - item number and item itself. 枚举的问题返回一个元组-项目编号和项目本身。 So it returns two elements, and you forces it to unpack 4 elements instead(check https://docs.python.org/2/library/functions.html#enumerate ).
因此,它返回两个元素,而您则强制它解压缩4个元素(请检查https://docs.python.org/2/library/functions.html#enumerate )。 Try to transform it to:
尝试将其转换为:
for index, (name, age, gender, height) in enumerate(reader)
But actually I think you don't need enumerate function here since you don't use element index. 但是实际上我认为您不需要在这里枚举函数,因为您不使用元素索引。 If it won't work you can simply access a row by indexes as described in example in the doc: https://docs.python.org/2/library/csv.html#csv.reader
如果不起作用,您可以按照文档中示例中的描述按索引访问一行: https : //docs.python.org/2/library/csv.html#csv.reader
You are using enumerate() in the wrong way. 您使用错误的方式使用了enumerate()。 Please see this for further information: https://docs.python.org/2.3/whatsnew/section-enumerate.html
请参阅此以获取更多信息: https : //docs.python.org/2.3/whatsnew/section-enumerate.html
Regarding your code, you can do the following: 关于您的代码,您可以执行以下操作:
import csv
with open("data.csv", 'r') as data_file:
reader = csv.reader(data_file, delimiter='\t')
for row in reader:
print ', '.join(row)
import csv
with open("data.csv", 'r') as data_file:
data_file.readline() # Skip first line
reader = csv.reader(data_file, delimiter=',')
for name, age, gender, height in reader:
print name + ',' + age + ',' + gender + ',' + height
yields 产量
John, 30 , male , 180
Kate, 23 , female, 166
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