我正在尝试联系CSV行。我试图将CSV行转换为按熊猫列出，但由于某些文件为空，因此会附加“ nan”值。 另外，我尝试使用zip，但它会合并列值。
with open(i) as f:
lines = f.readlines()
res = ""
for i, j in zip(lines[0].strip().split(','), lines[1].strip().split(',')):
res += "{} {},".format(i, j)
print(res.rstrip(','))
for line in lines[2:]:
print(line)
我的数据如下，
输入数据：- Input CSV Data
预期输出：- Output CSV Data
行数大于3，此处仅给出示例。 建议一种无需创建新文件即可完成上述任务的方法。请指向任何特定的功能或示例代码。
答案 0 :(得分：0)
只要文件中没有奇怪的东西，这样的事情就应该起作用：
with open(i) as f:
result = []
for line in f:
result += line.strip().split(',')
print(result)
答案 1 :(得分：0)
这假设您的第一行包含正确的列数。它将读取整个文件，忽略空数据（“ 、、、、、、”），并累积足够的数据点以填充一行，然后切换到下一行：
编写测试文件：
with open ("f.txt","w")as f:
f.write("""Circle,Year,1,2,3,4,5,6,7,8,9,10,11,12
abc,2018,,,,,,,,,,,,
2.2,8.0,6.5,9,88,,,,,,,,,,
55,66,77,88,,,,,,,,,,
5,3.2,7
def,2017,,,,,,,,,,,,
2.2,8.0,6.5,9,88,,,,,,,,,,
55,66,77,88,,,,,,,,,,
5,3.2,7
""")
处理测试文件：
data = [] # all data
temp = [] # data storage until enough found , then put into data
with open("f.txt","r") as r:
# get header and its lenght
title = r.readline().rstrip().split(",")
lenTitel = len(title)
data.append(title)
# process all remaining lines of the file
for l in r:
t = l.rstrip().split(",") # read one lines data
temp.extend( (x for x in t if x) ) # this eliminates all empty ,, pieces even in between
# if enough data accumulated, put as sublist into data, keep rest
if len (temp) > lenTitel:
data.append( temp[:lenTitel] )
temp = temp [lenTitel:]
if temp:
data.append(temp)
print(data)
输出：
[['Circle', 'Year', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12'],
['abc', '2018', '2.2', '8.0', '6.5', '9', '88', '55', '66', '77', '88', '5', '3.2', '7'],
['def', '2017', '2.2', '8.0', '6.5', '9', '88', '55', '66', '77', '88', '5', '3.2', '7']]
备注：