def csv_export(self, rows, view, group_cells, cells):
output_csv_headers(view)
groups, unique_row_ids, matrix_cells = list(
create_matrices(rows, group_cells, cells, num_columns=None))[0]
value_counts, _row_majorities = self._matrix_find_majorities(
rows, cells)
painter_options = PainterOptions.get_instance()
with table_element(output_format="csv") as table:
for cell_nr, cell in enumerate(group_cells):
table.row()
table.cell("", cell.title(use_short=False))
for _group, group_row in groups:
_tdclass, content = cell.render(group_row)
table.cell("", content)
for rid in unique_row_ids:
# Omit rows where all cells have the same values
if painter_options.get("matrix_omit_uniform"):
at_least_one_different = False
for counts in value_counts[rid].values():
if len(counts) > 1:
at_least_one_different = True
break
if not at_least_one_different:
continue
table.row()
_tdclass, content = cells[0].render(
list(matrix_cells[rid].values())[0])
table.cell("", content)
for group_id, group_row in groups:
table.cell("")
cell_row = matrix_cells[rid].get(group_id)
if cell_row is not None:
for cell_nr, cell in enumerate(cells[1:]):
_tdclass, content = cell.render(cell_row)
if cell_nr:
html.write_text(",")
html.write_text(content)
def _export_csv_export(view: "View", rows: Rows) -> None:
output_csv_headers(view.spec)
CSVRenderer().show(view, rows)