I 'am new to lxml, quite new to python and could not find a solution to the following:
I need to import a few tables with 3 columns and an undefined number of rows starting at row 3.
When the second column of any row is empty, this row is discarded and the processing of the table is aborted.
The following code prints the table's data fine (but I'm unable to reuse the data afterwards):
from lxml.html import parse
def process_row(row):
for cell in row.xpath('./td'):
print cell.text_content()
yield cell.text_content()
def process_table(table):
return [process_row(row) for row in table.xpath('./tr')]
doc = parse(url).getroot()
tbl = doc.xpath("/html//table[2]")[0]
data = process_table(tbl)
This only prints the first column :(
for i in data:
print i.next()
The following only import the third row, and not the subsequent
tbl = doc.xpath("//body/table[2]//tr[position()>2]")[0]
Anyone knows a fancy solution to get all the data from row 3 into tbl and copy it into an array so it can be processed into a module with no lxml dependency?
Thanks in advance for your help, Alex
This is a generator:
You're calling it as though you thought it returns a list. It doesn't. There are contexts in which it behaves like a list:
but that's only because a generator and a list both expose the same interface to
for
loops. Using it in a context where it gets evaluated just one time, e.g.:just calls a new instance of the generator once for each new value of
row
, returning the first result yielded.So that's your first problem. Your second one is that you're expecting:
to give you the third and all subsequent rows, and it's only setting
tbl
to the third row. Well, the call toxpath
is returning the third and all subsequent rows. It's the[0]
at the end that's messing you up.You need to use a loop to access the row's data, like this:
Calling next() once as you did will access only the first item, which is why you see one column.
Note that due to the nature of generators, you can only access them once. If you changed the call
process_row(row)
intolist(process_row(row))
, the generator would be converted to a list which can be reused.Update: If you need just the 3rd row and on, use
data[2:]