/usr/share/python-odf/examples/datatable.py is in python-odf-doc 1.3.6-2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright (C) 2007 Søren Roug, European Environment Agency
#
# This is free software. You may redistribute it under the terms
# of the Apache license and the GNU General Public License Version
# 2 or at your option any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public
# License along with this program; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
#
# Contributor(s):
#
from odf import table, text
def valuetype(val):
valuetype="string"
if isinstance(val,str): valuetype="string"
if isinstance(val,int): valuetype="float"
if isinstance(val,float): valuetype="float"
if isinstance(val,bool): valuetype="boolean"
return valuetype
class DataTable(object):
def __init__(self, values=()):
self.values = values
self.datasourcehaslabels = "none"
def _set_values(self, value):
if isinstance(value, list) or isinstance(value, tuple):
self.__dict__['values'] = value
firstrow = value[0]
if isinstance(firstrow, list) or isinstance(firstrow, tuple):
self.numcols = len(firstrow)
else:
self.numcols = 1
else:
raise ValueError, "Value must be list or tuple"
def __setattr__(self, name, value):
if name == 'values':
self._set_values(value)
else:
self.__dict__[name] = value
def __call__(self):
datatable = table.Table(name="local-table")
if self.datasourcehaslabels in ('row','both'):
t = table.TableHeaderColumns()
t.addElement(table.TableColumn())
datatable.addElement(t)
t = table.TableColumns()
if self.datasourcehaslabels in ('row','both'):
t.addElement(table.TableColumn(numbercolumnsrepeated=str(self.numcols-1)))
else:
t.addElement(table.TableColumn(numbercolumnsrepeated=str(self.numcols)))
datatable.addElement(t)
if self.datasourcehaslabels in ('column','both'):
t = table.TableHeaderRows()
datatable.addElement(t)
tr = table.TableRow()
t.addElement(tr)
content = self.values[0]
for val in content:
tc = table.TableCell(valuetype=valuetype(val))
tr.addElement(tc)
tc.addElement(text.P(text=str(val)))
t = table.TableRows()
datatable.addElement(t)
rownum = 0
for content in self.values:
if rownum == 0 and self.datasourcehaslabels in ('column','both'):
rownum += 1
continue
tr = table.TableRow()
t.addElement(tr)
for val in content:
tc = table.TableCell(valuetype=valuetype(val), value=val)
tr.addElement(tc)
tc.addElement(text.P(text=str(val)))
rownum += 1
return datatable
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