使用python csv reader忽略“空白”（未填充）行

Question

everybody.

I can't find a pythonic way to ignore "blank" lines in a CSV. I use quotes because I'm talking about lines that look like '','','','','' Here is a CSV (blank lines could be random):

id,name,age
1,alex,22
3,tiff,42
,,
,,
4,john,24

Here is the code:

def getDataFromCsv(path):
    dataSet = []
    with open(unicode(path), 'r') as stream:
        reader = csv.reader(stream, delimiter=',')
        reader.next() # ignoring header
        for rowdata in reader:
            # how to check here?
            dataSet.append(rowdata)
    return dataSet

Here is similar questions that I've been reading, but different to this in particular: python csv reader ignore blank row

Answer 1

You can use any to check if any column in the row contains data:

for rowdata in reader:
    # how to check here?
    if any(x.strip() for x in rowdata):
        dataSet.append(rowdata)

Answer 2

What about:

if len(rowdata) > 0:
    dataSet.append(rowdata)

Or am I missing a part of your question?

Answer 3

You can use the built-in function any :

for rowdata in reader:
    # how to check here?
    if not any(row):
        continue
    dataSet.append(rowdata)

Answer 4

 with open(fn, 'r') as csvfile: reader = csv.reader(csvfile) data = [row for row in reader if any(col for col in row)] 

• open CSV file
• instantiate csv.reader() object
• use a list comprehension to:
  • iterate over CSV rows
  • iterate over columns in the row
  • check if any column in the row has a value and if so, add to the list