parsing HTML table using python - HTMLparser or lxml

Question

I have a html page which consist of a table & I want to fetch all the values in td, tr in that table.
I have tried working with beautifulsoup but now i wanted to work on

Answer 1

Something like this should work:

>>> from lxml.html import parse
>>> page = parse("test.html")
>>> rows = page.xpath("body/table")[0].findall("tr")
>>> data = list()
>>> for row in rows:
...     data.append([c.text for c in row.getchildren()])
... 
>>> for row in data[4:]: print(row)
... 
['2050', 'January', '0', '1', '3', '0', '4', '16', '0', '6', '2', '2', '0', '3', '0', '3', '2', '0', '26', '1', '0', '0', '7', '0', '5', '6', '0', '8', '2', '0', '0', '0', '0', '0', '0', '0', '2', '0']
['February', '1', '0', '8', '0', '2', '4', '1', '6', '1', '2', '0', '3', '0', '0', '4', '0', '25', '0', '0', '1', '2', '0', '4', '14', '1', '1', '0', '0', '0', '0', '0', '0', '1', '0', '0', '0']
['March', '0', '0', '4', '0', '4', '7', '0', '9', '2', '1', '0', '0', '0', '2', '9', '0', '45', '1', '0', '0', '7', '0', '10', '16', '0', '5', '1', '1', '0', '1', '0', '0', '0', '0', '4', '0']
['April', '1', '0', '5', '0', '3', '12', '1', '11', '0', '3', '0', '3', '0', '0', '3', '2', '34', '0', '0', '1', '2', '0', '6', '18', '1', '3', '0', '0', '0', '0', '0', '0', '0', '0', '5', '1']
['May', '7', '0', '6', '0', '8', '4', '1', '13', '0', '0', '2', '2', '0', '1', '7', '1', '30', '0', '0', '0', '7', '0', '5', '12', '0', '4', '1', '0', '0', '0', '0', '0', '0', '0', '6', '1']
['June', '0', '1', '14', '0', '7', '15', '0', '17', '1', '2', '0', '5', '0', '1', '3', '0', '24', '0', '0', '0', '5', '0', '6', '13', '1', '9', '1', '1', '0', '0', '0', '0', '0', '0', '2', '1']
['July', '0', '1', '6', '0', '8', '17', '1', '15', '2', '1', '0', '10', '0', '2', '15', '2', '53', '0', '3', '3', '6', '0', '7', '16', '0', '9', '1', '1', '0', '0', '0', '0', '1', '0', '2', '0']
['August', '2', '0', '5', '0', '8', '15', '1', '17', '0', '2', '0', '2', '0', '5', '16', '0', '33', '0', '0', '0', '11', '0', '2', '25', '4', '8', '0', '0', '0', '1', '0', '0', '0', '0', '3', '0']
['September', '2', '0', '10', '0', '16', '22', '2', '19', '4', '2', '0', '0', '0', '2', '8', '0', '27', '0', '1', '0', '8', '0', '11', '31', '1', '9', '0', '0', '0', '1', '0', '0', '0', '1', '1', '0']
['October', '3', '1', '8', '0', '4', '28', '0', '15', '2', '1', '0', '1', '0', '1', '6', '0', '15', '0', '1', '0', '3', '0', '9', '26', '1', '8', '4', '0', '0', '0', '0', '0', '0', '0', '1', '0']
['November', '0', '3', '3', '0', '6', '23', '1', '8', '1', '2', '0', '1', '0', '3', '7', '1', '20', '0', '0', '0', '8', '0', '3', '18', '3', '7', '0', '0', '0', '0', '0', '0', '0', '0', '3', '0']
['December', '1', '0', '4', '0', '4', '13', '2', '15', '1', '0', '0', '2', '0', '1', '2', '0', '29', '0', '1', '0', '7', '0', '3', '20', '1', '13', '0', '1', '0', '0', '0', '0', '0', '0', '3', '0']

You can use zip() to transpose the table:

>>> d = data[4:]
>>> d[0] = d[0][1:]
>>> zip(*d)
[('January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'), ('0', '1', '0', '1', '7', '0', '0', '2', '2', '3', '0', '1'), ('1', '0', '0', '0', '0', '1', '1', '0', '0', '1', '3', '0'), ('3', '8', '4', '5', '6', '14', '6', '5', '10', '8', '3', '4'), ('0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'), ('4', '2', '4', '3', '8', '7', '8', '8', '16', '4', '6', '4'), ('16', '4', '7', '12', '4', '15', '17', '15', '22', '28', '23', '13'), ('0', '1', '0', '1', '1', '0', '1', '1', '2', '0', '1', '2'), ('6', '6', '9', '11', '13', '17', '15', '17', '19', '15', '8', '15'), ('2', '1', '2', '0', '0', '1', '2', '0', '4', '2', '1', '1'), ('2', '2', '1', '3', '0', '2', '1', '2', '2', '1', '2', '0'), ('0', '0', '0', '0', '2', '0', '0', '0', '0', '0', '0', '0'), ('3', '3', '0', '3', '2', '5', '10', '2', '0', '1', '1', '2'), ('0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'), ('3', '0', '2', '0', '1', '1', '2', '5', '2', '1', '3', '1'), ('2', '4', '9', '3', '7', '3', '15', '16', '8', '6', '7', '2'), ('0', '0', '0', '2', '1', '0', '2', '0', '0', '0', '1', '0'), ('26', '25', '45', '34', '30', '24', '53', '33', '27', '15', '20', '29'), ('1', '0', '1', '0', '0', '0', '0', '0', '0', '0', '0', '0'), ('0', '0', '0', '0', '0', '0', '3', '0', '1', '1', '0', '1'), ('0', '1', '0', '1', '0', '0', '3', '0', '0', '0', '0', '0'), ('7', '2', '7', '2', '7', '5', '6', '11', '8', '3', '8', '7'), ('0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'), ('5', '4', '10', '6', '5', '6', '7', '2', '11', '9', '3', '3'), ('6', '14', '16', '18', '12', '13', '16', '25', '31', '26', '18', '20'), ('0', '1', '0', '1', '0', '1', '0', '4', '1', '1', '3', '1'), ('8', '1', '5', '3', '4', '9', '9', '8', '9', '8', '7', '13'), ('2', '0', '1', '0', '1', '1', '1', '0', '0', '4', '0', '0'), ('0', '0', '1', '0', '0', '1', '1', '0', '0', '0', '0', '1'), ('0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'), ('0', '0', '1', '0', '0', '0', '0', '1', '1', '0', '0', '0'), ('0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'), ('0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0', '0'), ('0', '1', '0', '0', '0', '0', '1', '0', '0', '0', '0', '0'), ('0', '0', '0', '0', '0', '0', '0', '0', '1', '0', '0', '0'), ('2', '0', '4', '5', '6', '2', '2', '3', '1', '1', '3', '3'), ('0', '0', '0', '1', '1', '1', '0', '0', '0', '0', '0', '0')]