Ejemplo n.º 1
0
    def get_squared_range(self, min_col, min_row, max_col, max_row):
        expected_columns = [
            get_column_letter(ci) for ci in xrange(min_col, max_col)
        ]
        current_row = min_row

        style_table = self._style_table
        for row, cells in groupby(
                self.get_cells(min_row, min_col, max_row, max_col),
                operator.attrgetter('row')):
            full_row = []
            if current_row < row:

                for gap_row in xrange(current_row, row):
                    dummy_cells = get_missing_cells(gap_row, expected_columns)
                    yield tuple(
                        [dummy_cells[column] for column in expected_columns])
                    current_row = row

            temp_cells = list(cells)
            retrieved_columns = dict([(c.column, c) for c in temp_cells])
            missing_columns = list(
                set(expected_columns) - set(retrieved_columns.keys()))
            replacement_columns = get_missing_cells(row, missing_columns)

            for column in expected_columns:
                if column in retrieved_columns:
                    cell = retrieved_columns[column]
                    if cell.style_id is not None:
                        style = style_table[int(cell.style_id)]
                        cell = cell._replace(
                            number_format=style.number_format.format_code
                        )  #pylint: disable-msg=W0212
                    if cell.internal_value is not None:
                        if cell.data_type in Cell.TYPE_STRING:
                            cell = cell._replace(internal_value=unicode(
                                self._string_table[int(cell.internal_value)])
                                                 )  #pylint: disable-msg=W0212
                        elif cell.data_type == Cell.TYPE_BOOL:
                            cell = cell._replace(
                                internal_value=cell.internal_value == '1')
                        elif cell.is_date:
                            cell = cell._replace(
                                internal_value=self._shared_date.from_julian(
                                    float(cell.internal_value)))
                        elif cell.data_type == Cell.TYPE_NUMERIC:
                            cell = cell._replace(
                                internal_value=float(cell.internal_value))
                        elif cell.data_type in (
                                Cell.TYPE_INLINE,
                                Cell.TYPE_FORMULA_CACHE_STRING):
                            cell = cell._replace(
                                internal_value=unicode(cell.internal_value))
                    full_row.append(cell)
                else:
                    full_row.append(replacement_columns[column])
            current_row = row + 1
            yield tuple(full_row)
Ejemplo n.º 2
0
def test_dump_sheet():

    test_filename = _get_test_filename()

    wb = Workbook(optimized_write=True)

    ws = wb.create_sheet()

    letters = [get_column_letter(x + 1) for x in xrange(20)]

    expected_rows = []

    for row in xrange(20):

        expected_rows.append(
            ['%s%d' % (letter, row + 1) for letter in letters])

    for row in xrange(20):

        expected_rows.append([(row + 1) for letter in letters])

    for row in xrange(10):

        expected_rows.append([
            datetime(2010, ((x % 12) + 1), row + 1)
            for x in range(len(letters))
        ])

    for row in xrange(20):

        expected_rows.append(
            ['=%s%d' % (letter, row + 1) for letter in letters])

    for row in expected_rows:

        ws.append(row)

    wb.save(test_filename)

    wb2 = load_workbook(test_filename)

    ws = wb2.worksheets[0]

    for ex_row, ws_row in zip(expected_rows[:-20], ws.rows):

        for ex_cell, ws_cell in zip(ex_row, ws_row):

            eq_(ex_cell, ws_cell.value)

    os.remove(test_filename)
Ejemplo n.º 3
0
    def unmerge_cells(self,
                      range_string=None,
                      start_row=None,
                      start_column=None,
                      end_row=None,
                      end_column=None):
        """ Remove merge on a cell range.  Range is a cell range (e.g. A1:E1) """
        if not range_string:
            if start_row is None or start_column is None or end_row is None or end_column is None:
                msg = "You have to provide a value either for "\
                      "'coordinate' or for 'start_row', 'start_column', 'end_row' *and* 'end_column'"
                raise InsufficientCoordinatesException(msg)
            else:
                range_string = '%s%s:%s%s' % (
                    get_column_letter(start_column + 1), start_row + 1,
                    get_column_letter(end_column + 1), end_row + 1)
        elif len(range_string.split(':')) != 2:
            msg = "Range must be a cell range (e.g. A1:E1)"
            raise InsufficientCoordinatesException(msg)
        else:
            range_string = range_string.replace('$', '')

        if range_string in self._merged_cells:
            self._merged_cells.remove(range_string)
            min_col, min_row = coordinate_from_string(
                range_string.split(':')[0])
            max_col, max_row = coordinate_from_string(
                range_string.split(':')[1])
            min_col = column_index_from_string(min_col)
            max_col = column_index_from_string(max_col)
            # Mark cell as unmerged
            for col in xrange(min_col, max_col + 1):
                for row in xrange(min_row, max_row + 1):
                    if not (row == min_row and col == min_col):
                        self._get_cell(
                            '%s%s' %
                            (get_column_letter(col), row)).merged = False
        else:
            msg = 'Cell range %s not known as merged.' % range_string
            raise InsufficientCoordinatesException(msg)
Ejemplo n.º 4
0
    def merge_cells(self,
                    range_string=None,
                    start_row=None,
                    start_column=None,
                    end_row=None,
                    end_column=None):
        """ Set merge on a cell range.  Range is a cell range (e.g. A1:E1) """
        if not range_string:
            if start_row is None or start_column is None or end_row is None or end_column is None:
                msg = "You have to provide a value either for "\
                      "'coordinate' or for 'start_row', 'start_column', 'end_row' *and* 'end_column'"
                raise InsufficientCoordinatesException(msg)
            else:
                range_string = '%s%s:%s%s' % (
                    get_column_letter(start_column + 1), start_row + 1,
                    get_column_letter(end_column + 1), end_row + 1)
        elif len(range_string.split(':')) != 2:
            msg = "Range must be a cell range (e.g. A1:E1)"
            raise InsufficientCoordinatesException(msg)
        else:
            range_string = range_string.replace('$', '')

        # Make sure top_left cell exists - is this necessary?
        min_col, min_row = coordinate_from_string(range_string.split(':')[0])
        max_col, max_row = coordinate_from_string(range_string.split(':')[1])
        min_col = column_index_from_string(min_col)
        max_col = column_index_from_string(max_col)
        # Blank out the rest of the cells in the range
        for col in xrange(min_col, max_col + 1):
            for row in xrange(min_row, max_row + 1):
                if not (row == min_row and col == min_col):
                    # PHPExcel adds cell and specifically blanks it out if it doesn't exist
                    self._get_cell('%s%s' %
                                   (get_column_letter(col), row)).value = None
                    self._get_cell('%s%s' %
                                   (get_column_letter(col), row)).merged = True

        if range_string not in self._merged_cells:
            self._merged_cells.append(range_string)
Ejemplo n.º 5
0
class TestFloats(TestWorksheet):

    sheet_name = 'Sheet2 - Numbers'
    query_range = 'K1:K30'
    expected = expected = [[(x + 1) / 100.0] for x in xrange(30)]

    def test_read_fast_integrated(self):
        wb = self._open_wb()
        ws = wb.get_sheet_by_name(name=self.sheet_name)
        for row, expected_row in zip(ws.iter_rows(self.query_range),
                                     self.expected):
            row_values = [x.internal_value for x in row]
            assert row_values == expected_row
Ejemplo n.º 6
0
    def range(self, range_string, row=0, column=0):
        """Returns a 2D array of cells, with optional row and column offsets.

        :param range_string: cell range string or `named range` name
        :type range_string: string

        :param row: number of rows to offset
        :type row: int

        :param column: number of columns to offset
        :type column: int

        :rtype: tuples of tuples of :class:`legacy_legacy_openpyxl.cell.Cell`

        """
        if ':' in range_string:
            # R1C1 range
            result = []
            min_range, max_range = range_string.split(':')
            min_col, min_row = coordinate_from_string(min_range)
            max_col, max_row = coordinate_from_string(max_range)
            if column:
                min_col = get_column_letter(
                    column_index_from_string(min_col) + column)
                max_col = get_column_letter(
                    column_index_from_string(max_col) + column)
            min_col = column_index_from_string(min_col)
            max_col = column_index_from_string(max_col)
            cache_cols = {}
            for col in xrange(min_col, max_col + 1):
                cache_cols[col] = get_column_letter(col)
            rows = xrange(min_row + row, max_row + row + 1)
            cols = xrange(min_col, max_col + 1)
            for row in rows:
                new_row = []
                for col in cols:
                    new_row.append(self.cell('%s%s' % (cache_cols[col], row)))
                result.append(tuple(new_row))
            return tuple(result)
        else:
            try:
                return self.cell(coordinate=range_string,
                                 row=row,
                                 column=column)
            except CellCoordinatesException:
                pass

            # named range
            named_range = self._parent.get_named_range(range_string)
            if named_range is None:
                msg = '%s is not a valid range name' % range_string
                raise NamedRangeException(msg)
            if isinstance(named_range, NamedRangeContainingValue):
                msg = '%s refers to a value, not a range' % range_string
                raise NamedRangeException(msg)

            result = []
            for destination in named_range.destinations:

                worksheet, cells_range = destination

                if worksheet is not self:
                    msg = 'Range %s is not defined on worksheet %s' % \
                            (cells_range, self.title)
                    raise NamedRangeException(msg)

                content = self.range(cells_range)

                if isinstance(content, tuple):
                    for cells in content:
                        result.extend(cells)
                else:
                    result.append(content)

            if len(result) == 1:
                return result[0]
            else:
                return tuple(result)
Ejemplo n.º 7
0
                                  Cell, column_index_from_string)
from legacy_openpyxl.styles import is_date_format
from legacy_openpyxl.shared.date_time import SharedDate
from legacy_openpyxl.reader.worksheet import read_dimension
from legacy_openpyxl.shared.compat import unicode
from legacy_openpyxl.shared.ooxml import (PACKAGE_WORKSHEETS, SHEET_MAIN_NS)

TYPE_NULL = Cell.TYPE_NULL
MISSING_VALUE = None

RE_COORDINATE = re.compile('^([A-Z]+)([0-9]+)$')

SHARED_DATE = SharedDate()

_COL_CONVERSION_CACHE = dict(
    (get_column_letter(i), i) for i in xrange(1, 18279))


def column_index_from_string(str_col,
                             _col_conversion_cache=_COL_CONVERSION_CACHE):
    # we use a function argument to get indexed name lookup
    return _col_conversion_cache[str_col]


del _COL_CONVERSION_CACHE

RAW_ATTRIBUTES = [
    'row', 'column', 'coordinate', 'internal_value', 'data_type', 'style_id',
    'number_format'
]