Python xlrd.XL_CELL_BOOLEAN Examples

The following are 9 code examples of xlrd.XL_CELL_BOOLEAN(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module xlrd , or try the search function .
Example #1
Source File: display.py    From lpts with GNU General Public License v2.0 6 votes vote down vote up
def cell_display(cell, datemode=0, encoding='ascii'):
    cty = cell.ctype
    if cty == xlrd.XL_CELL_EMPTY:
        return 'undefined'
    if cty == xlrd.XL_CELL_BLANK:
        return 'blank'
    if cty == xlrd.XL_CELL_NUMBER:
        return 'number (%.4f)' % cell.value
    if cty == xlrd.XL_CELL_DATE:
        try:
            return "date (%04d-%02d-%02d %02d:%02d:%02d)" \
                % xlrd.xldate_as_tuple(cell.value, datemode)
        except xlrd.xldate.XLDateError:
            return "date? (%.6f)" % cell.value
    if cty == xlrd.XL_CELL_TEXT:
        return "text (%s)" % cell.value.encode(encoding, 'replace')
    if cty == xlrd.XL_CELL_ERROR:
        if cell.value in xlrd.error_text_from_code:
            return "error (%s)" % xlrd.error_text_from_code[cell.value]
        return "unknown error code (%r)" % cell.value
    if cty == xlrd.XL_CELL_BOOLEAN:
        return "logical (%s)" % ['FALSE', 'TRUE'][cell.value]
    raise Exception("Unknown Cell.ctype: %r" % cty) 
Example #2
Source File: test_filter.py    From lpts with GNU General Public License v2.0 6 votes vote down vote up
def test_no_error_on_bools(self,h):
        r = TestReader(
            ('Sheet',[[(XL_CELL_BOOLEAN,True)]]),
            )
        # fire methods on filter
        f = ErrorFilter()
        c = Mock()
        process(r,f,c)
        compare(c.method_calls,[
            ('start', (), {}),
            ('workbook', (C('xlrd.Book'), 'test.xls'),{}),
            ('sheet', (C('xlrd.sheet.Sheet',name='Sheet',strict=False), u'Sheet'),{}),
            ('row', (0, 0),{}),
            ('cell', (0, 0, 0, 0),{}),
            ('finish', (), {})
            ])
        self.assertEqual(len(h.records),0) 
Example #3
Source File: xls2json_backends.py    From pyxform with BSD 2-Clause "Simplified" License 5 votes vote down vote up
def xls_value_to_unicode(value, value_type, datemode):
    """
    Take a xls formatted value and try to make a unicode string
    representation.
    """
    if value_type == xlrd.XL_CELL_BOOLEAN:
        return "TRUE" if value else "FALSE"
    elif value_type == xlrd.XL_CELL_NUMBER:
        # Try to display as an int if possible.
        int_value = int(value)
        if int_value == value:
            return unicode(int_value)
        else:
            return unicode(value)
    elif value_type is xlrd.XL_CELL_DATE:
        # Warn that it is better to single quote as a string.
        # error_location = cellFormatString % (ss_row_idx, ss_col_idx)
        # raise Exception(
        #   "Cannot handle excel formatted date at " + error_location)
        datetime_or_time_only = xlrd.xldate_as_tuple(value, datemode)
        if datetime_or_time_only[:3] == (0, 0, 0):
            # must be time only
            return unicode(datetime.time(*datetime_or_time_only[3:]))
        return unicode(datetime.datetime(*datetime_or_time_only))
    else:
        # ensure unicode and replace nbsp spaces with normal ones
        # to avoid this issue:
        # https://github.com/modilabs/pyxform/issues/83
        return unicode(value).replace(unichr(160), " ") 
Example #4
Source File: xls.py    From tabulator-py with MIT License 5 votes vote down vote up
def __iter_extended_rows(self):

        def type_value(ctype, value):
            """ Detects boolean value, int value, datetime """

            # Boolean
            if ctype == xlrd.XL_CELL_BOOLEAN:
                return bool(value)

            # Excel numbers are only float
            # Float with no decimals can be cast into int
            if ctype == xlrd.XL_CELL_NUMBER and value == value // 1:
                return int(value)

            # Datetime
            if ctype == xlrd.XL_CELL_DATE:
                return xlrd.xldate.xldate_as_datetime(value, self.__book.datemode)

            return value

        for x in range(0, self.__sheet.nrows):
            row_number = x + 1
            row = []
            for y, value in enumerate(self.__sheet.row_values(x)):
                value = type_value(self.__sheet.cell(x, y).ctype, value)
                if self.__fill_merged_cells:
                    for xlo, xhi, ylo, yhi in self.__sheet.merged_cells:
                        if x in range(xlo, xhi) and y in range(ylo, yhi):
                            value = type_value(self.__sheet.cell(xlo, ylo).ctype,
                                               self.__sheet.cell_value(xlo, ylo))
                row.append(value)
            yield (row_number, None, row) 
Example #5
Source File: io.py    From libhxl-python with The Unlicense 5 votes vote down vote up
def _fix_value(cell):
        """Clean up an Excel value for CSV-like representation."""

        if cell.value is None or cell.ctype == xlrd.XL_CELL_EMPTY:
            return ''

        elif cell.ctype == xlrd.XL_CELL_NUMBER:
            # let numbers be integers if possible
            if float(cell.value).is_integer():
                return int(cell.value)
            else:
                return cell.value

        elif cell.ctype == xlrd.XL_CELL_DATE:
            # dates need to be formatted
            try:
                data = xlrd.xldate_as_tuple(cell.value, 0)
                return '{0[0]:04d}-{0[1]:02d}-{0[2]:02d}'.format(data)
            except:
                return cell.value;

        elif cell.ctype == xlrd.XL_CELL_BOOLEAN:
            return int(cell.value)

        else: # XL_CELL_TEXT, or anything else
            return cell.value 
Example #6
Source File: io.py    From libhxl-python with The Unlicense 5 votes vote down vote up
def _fix_value(cell):
        """Clean up an Excel value for CSV-like representation."""

        if cell.value is None or cell.ctype == xlrd.XL_CELL_EMPTY:
            return ''

        elif cell.ctype == xlrd.XL_CELL_NUMBER:
            # let numbers be integers if possible
            if float(cell.value).is_integer():
                return int(cell.value)
            else:
                return cell.value

        elif cell.ctype == xlrd.XL_CELL_DATE:
            # dates need to be formatted
            try:
                data = xlrd.xldate_as_tuple(cell.value, 0)
                return '{0[0]:04d}-{0[1]:02d}-{0[2]:02d}'.format(data)
            except:
                return cell.value

        elif cell.ctype == xlrd.XL_CELL_BOOLEAN:
            return int(cell.value)

        else: # XL_CELL_TEXT, or anything else
            return cell.value 
Example #7
Source File: main.py    From lambda-text-extractor with Apache License 2.0 5 votes vote down vote up
def xls_to_text(document_path, event, context):
    import xlrd

    book = xlrd.open_workbook(document_path)
    lines = []
    for sheetno, sheet in enumerate(book.sheets()):
        lines.append(sheet.name)
        lines.append('-------------------------------------------')
        for row in sheet.get_rows():
            row_values = []
            for cell in row:
                if cell.ctype == xlrd.XL_CELL_DATE:
                    try: d = datetime(*xlrd.xldate_as_tuple(cell.value, book.datemode))
                    except ValueError: d = datetime(1970, 1, 1)
                    row_values.append(d.date() if d.time() == time(0, 0) else d)
                elif cell.ctype == xlrd.XL_CELL_BOOLEAN: row_values.append(bool(cell.value))
                else: row_values.append(cell.value)
            #end for
            lines.append(' | '.join(map(lambda s: str(s).strip(), row_values)))
        #end for
        lines.append('')  # empty line
    #end for

    return '\n'.join(lines).strip()
#end def


# def ppt_to_text(document_path, event, context):
#     cmdline = [os.path.join(BIN_DIR, 'catppt'), '-dutf-8', document_path]
#     text = _get_subprocess_output(cmdline, shell=False, env=dict(CATDOCRC_PATH=CATDOCRC_PATH))

#     return text.decode('utf-8', errors='ignore').strip()
# #end def 
Example #8
Source File: test_filter.py    From lpts with GNU General Public License v2.0 5 votes vote down vote up
def test_copy_boolean_cells(self):
        r = TestReader(
            ('Bools',([[(XL_CELL_BOOLEAN,True)]]),),
            )
        w = TestWriter()
        r(w)
        self.assertEqual(w.files.keys(),['test.xls'])
        a = open_workbook(file_contents=w.files['test.xls'].file.read())
        cell = a.sheet_by_index(0).cell(0,0)
        self.assertEqual(cell.ctype,XL_CELL_BOOLEAN)
        self.assertEqual(cell.value,True) 
Example #9
Source File: api.py    From personfinder with Apache License 2.0 5 votes vote down vote up
def convert_xsl_to_csv(contents):
    """Converts data in xsl (or xslx) format to CSV."""
    try:
        book = xlrd.open_workbook(file_contents=contents)
    except xlrd.XLRDError as e:
        return None, str(e)
    except UnicodeDecodeError:
        return None, 'The encoding of the file is unknown.'
    if book.nsheets == 0:
        return None, 'The uploaded file contains no sheets.'
    sheet = book.sheet_by_index(0)
    table = []
    for row in xrange(sheet.nrows):
        table_row = []
        for col in xrange(sheet.ncols):
            value = None
            cell_value = sheet.cell_value(row, col)
            cell_type = sheet.cell_type(row, col)
            if cell_type == xlrd.XL_CELL_TEXT:
                value = cell_value
            elif cell_type == xlrd.XL_CELL_NUMBER:
                value = str(int(cell_value))
            elif cell_type == xlrd.XL_CELL_BOOLEAN:
                value = 'true' if cell_value else 'false'
            elif cell_type == xlrd.XL_CELL_DATE:
                # TODO(ryok): support date type.
                pass
            table_row.append(value)
        table.append(table_row)

    csv_output = StringIO.StringIO()
    csv_writer = csv.writer(csv_output)
    csv_writer.writerows(table)
    return csv_output.getvalue(), None