(
self,
axis=0,
skipna=True,
numeric_only=False,
min_count=0,
split_every=False,
**kwargs,
)
| 1452 | |
| 1453 | @derived_from(pd.DataFrame) |
| 1454 | def sum( |
| 1455 | self, |
| 1456 | axis=0, |
| 1457 | skipna=True, |
| 1458 | numeric_only=False, |
| 1459 | min_count=0, |
| 1460 | split_every=False, |
| 1461 | **kwargs, |
| 1462 | ): |
| 1463 | axis = self._validate_axis(axis) |
| 1464 | if axis == 1: |
| 1465 | return self.map_partitions( |
| 1466 | M.sum, |
| 1467 | skipna=skipna, |
| 1468 | numeric_only=numeric_only, |
| 1469 | axis=axis, |
| 1470 | min_count=min_count, |
| 1471 | ) |
| 1472 | |
| 1473 | result = new_collection(self.expr.sum(skipna, numeric_only, split_every, axis)) |
| 1474 | return self._apply_min_count(result, min_count) |
| 1475 | |
| 1476 | def _apply_min_count(self, result, min_count): |
| 1477 | if min_count: |
nothing calls this directly
no test coverage detected