How to use the xlrd.XL_CELL_NUMBER function in xlrd

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github python-excel / xlrd / tests / View on Github external
def test_number_cell(self):
        cell = sheet.cell(1, 1)
        self.assertEqual(cell.ctype, xlrd.XL_CELL_NUMBER)
        self.assertEqual(cell.value, 100)
github pandas-dev / pandas / pandas / io / View on Github external
# Excel doesn't distinguish between dates and time,
                # so we treat dates on the epoch as times only.
                # Also, Excel supports 1900 and 1904 epochs.
                year = (cell_contents.timetuple())[0:3]
                if ((not epoch1904 and year == (1899, 12, 31)) or
                        (epoch1904 and year == (1904, 1, 1))):
                    cell_contents = time(cell_contents.hour,

            elif cell_typ == XL_CELL_ERROR:
                cell_contents = np.nan
            elif cell_typ == XL_CELL_BOOLEAN:
                cell_contents = bool(cell_contents)
            elif convert_float and cell_typ == XL_CELL_NUMBER:
                # GH5394 - Excel 'numbers' are always floats
                # it's a minimal perf hit and less surprising
                val = int(cell_contents)
                if val == cell_contents:
                    cell_contents = val
            return cell_contents
github dimagi / commcare-hq / corehq / util / workbook_reading / adapters / View on Github external
def _make_cell_value(self, cell):
        if cell.ctype == xlrd.XL_CELL_NUMBER:
            # cell.value is a float, return int if it's an int
            if int(cell.value) == cell.value:
                return int(cell.value)
                return cell.value
        elif cell.ctype == xlrd.XL_CELL_DATE:
            datetime_tuple = xlrd.xldate_as_tuple(cell.value,
            if datetime_tuple[:3] == (0, 0, 0):
                return time(*datetime_tuple[3:])
            elif datetime_tuple[3:] == (0, 0, 0):
                return date(*datetime_tuple[:3])
                return datetime(*datetime_tuple)
        elif cell.ctype == xlrd.XL_CELL_BOOLEAN:
            return bool(cell.value)
        elif cell.ctype == xlrd.XL_CELL_EMPTY:
github pyexcel / pyexcel-xls / pyexcel_xls / View on Github external
def cell_value(self, row, column):
        Random access to the xls cells
        if self._keywords.get("skip_hidden_row_and_column") is True:
            row, column = self._offset_hidden_indices(row, column)
        cell_type = self._native_sheet.cell_type(row, column)
        value = self._native_sheet.cell_value(row, column)

        if cell_type == xlrd.XL_CELL_DATE:
            value = xldate_to_python_date(value, self._book_date_mode)
        elif cell_type == xlrd.XL_CELL_NUMBER and self.__auto_detect_int:
            if has_no_digits_in_float(value):
                value = int(value)
        elif cell_type == xlrd.XL_CELL_ERROR:
            value = DEFAULT_ERROR_VALUE

        if self.__merged_cells:
            merged_cell = self.__merged_cells.get("%s-%s" % (row, column))
            if merged_cell:
                if merged_cell.value:
                    value = merged_cell.value
                    merged_cell.value = value
        return value
github google / personfinder / app / View on Github external
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.

    csv_output = StringIO.StringIO()
    csv_writer = csv.writer(csv_output)
    return csv_output.getvalue(), None
github PMA-2020 / ppp / pmix / View on Github external
def f(cell):
    # Can format differently?
    if cell.ctype == xlrd.XL_CELL_BOOLEAN:
        return 'TRUE' if cell.value == 1 else 'FALSE'
    elif cell.ctype == xlrd.XL_CELL_EMPTY:
        return ''
    elif cell.ctype == xlrd.XL_CELL_TEXT:
        s = cell.value.strip()
        s = newline_space_fix(s)
        return s
    elif cell.ctype == xlrd.XL_CELL_NUMBER:
        return cell.value
        m = 'Bad cell type: {}. May be DATE'.format(cell.ctype)
        raise QlangError(m)
    return cell.value
github sahana / eden / modules / s3 / View on Github external
def decode(t, v):
                    Helper method to decode the cell value by type

                    @param t: the cell type
                    @param v: the cell value
                    @return: text representation of the cell value
                text = ""
                if v:
                    if t is None:
                        text = s3_unicode(v).strip()
                    elif t == xlrd.XL_CELL_TEXT:
                        text = v.strip()
                    elif t == xlrd.XL_CELL_NUMBER:
                        text = str(long(v)) if long(v) == v else str(v)
                    elif t == xlrd.XL_CELL_DATE:
                        # Convert into an ISO datetime string
                        text = s3_encode_iso_datetime(decode_date(v))
                    elif t == xlrd.XL_CELL_BOOLEAN:
                        text = str(v).lower()
                return text
github ENCODE-DCC / encoded / src / encoded / View on Github external
def cell_value(cell, datemode):
    """ Convert to a utf-8 encoded string value (csv is not unicode aware)
    ctype = cell.ctype
    value = cell.value

    if ctype == xlrd.XL_CELL_ERROR:
        raise ValueError(repr(cell), 'cell error')

    elif ctype == xlrd.XL_CELL_BOOLEAN:
        return str(value).upper()

    elif ctype == xlrd.XL_CELL_NUMBER:
        if value.is_integer():
            value = int(value)
        return str(value)

    elif ctype == xlrd.XL_CELL_DATE:
        value = xlrd.xldate_as_tuple(value, datemode)
        if value[3:] == (0, 0, 0):
            return datetime.datetime(*value).isoformat()

    elif ctype in (xlrd.XL_CELL_TEXT, xlrd.XL_CELL_EMPTY, xlrd.XL_CELL_BLANK):
        return value.encode('utf-8')

    raise ValueError(repr(cell), 'unknown cell type')
github datagovuk / ckanext-datapreview / brewery / ds / View on Github external
def _cell_value(self, cell):
        """Convert Excel cell into value of a python type

        (from Swiss XlsReader.cell_to_python)"""

        # annoying need book argument for datemode
        # info on types:
        if cell.ctype == xlrd.XL_CELL_NUMBER:
            return float(cell.value)
        elif cell.ctype == xlrd.XL_CELL_DATE:
            # TODO: distinguish date and datetime
            args = xlrd.xldate_as_tuple(cell.value, self.workbook.datemode)
                return[0], args[1], args[2]).strftime("%d/%m/%Y")
            except Exception, inst:
                # print 'Error parsing excel date (%s): %s' % (args, inst)
                return None
        elif cell.ctype == xlrd.XL_CELL_BOOLEAN:
            return bool(cell.value)
            return cell.value
github turicas / rows / rows / plugins / View on Github external
import xlrd
import xlwt

import rows.fields as fields
from rows.plugins.utils import create_table, prepare_to_export
from rows.utils import Source

    xlrd.XL_CELL_BLANK: fields.TextField,
    xlrd.XL_CELL_DATE: fields.DatetimeField,
    xlrd.XL_CELL_ERROR: None,
    xlrd.XL_CELL_TEXT: fields.TextField,
    xlrd.XL_CELL_BOOLEAN: fields.BoolField,
    xlrd.XL_CELL_EMPTY: None,
    xlrd.XL_CELL_NUMBER: fields.FloatField,

# TODO: add more formatting styles for other types such as currency
# TODO: styles may be influenced by locale
    fields.DateField: xlwt.easyxf(num_format_str="yyyy-mm-dd"),
    fields.DatetimeField: xlwt.easyxf(num_format_str="yyyy-mm-dd hh:mm:ss"),
    fields.PercentField: xlwt.easyxf(num_format_str="0.00%"),

def _python_to_xls(field_types):
    def convert_value(field_type, value):
        data = {}
        if field_type in FORMATTING_STYLES: