neuralib.tracking.facemap.core.KeyPointDataFrame
- class neuralib.tracking.facemap.core.KeyPointDataFrame[source]
Bases:
DataFrameWrapperDataframe with
x,y,likelihoodandkeypointcolumns┌────────────┬────────────┬────────────┬───────────┐ │ x ┆ y ┆ likelihood ┆ keypoint │ │ --- ┆ --- ┆ --- ┆ --- │ │ f32 ┆ f32 ┆ f32 ┆ str │ ╞════════════╪════════════╪════════════╪═══════════╡ │ 374.102081 ┆ 199.159668 ┆ 0.777443 ┆ eye(back) │ │ 373.785919 ┆ 199.425873 ┆ 0.787424 ┆ eye(back) │ │ 374.075867 ┆ 199.507111 ┆ 0.779713 ┆ eye(back) │ │ 374.028473 ┆ 199.359955 ┆ 0.761724 ┆ eye(back) │ │ 374.222382 ┆ 199.777466 ┆ 0.770329 ┆ eye(back) │ │ … ┆ … ┆ … ┆ … │ │ 317.318756 ┆ 285.396912 ┆ 0.596486 ┆ mouth │ │ 318.163696 ┆ 285.492676 ┆ 0.589684 ┆ mouth │ │ 317.758606 ┆ 285.560425 ┆ 0.603126 ┆ mouth │ │ 317.453491 ┆ 285.572235 ┆ 0.573179 ┆ mouth │ │ 317.976196 ┆ 285.477051 ┆ 0.58359 ┆ mouth │ └────────────┴────────────┴────────────┴───────────┘
Methods
__init__(df)clear([n])See polars.DataFrame.clear.
clone()Clone the wrapper.
dataframe([dataframe, may_inplace])Getter/setter for the internal Polars DataFrame.
drop(*columns[, strict])See polars.DataFrame.drop.
drop_nulls(subset)See polars.DataFrame.drop_nulls.
fill_nan([value])See polars.DataFrame.fill_nan.
fill_null([value, strategy, limit])See polars.DataFrame.fill_null.
filter(*predicates, **constraints)See polars.DataFrame.filter.
group_by(*by[, maintain_order])See polars.DataFrame.group_by.
head([n])See polars.DataFrame.head.
join(other, on, *args, **kwargs)See polars.DataFrame.join.
lazy()Wrap dataframe in a lazy wrapper.
limit([n])See polars.DataFrame.limit.
partition_by(by, *more_by[, as_dict])See polars.DataFrame.partition_by.
pipe(function, *args, **kwargs)See polars.DataFrame.pipe.
rename(mapping)See polars.DataFrame.rename.
select(*exprs, **named_exprs)See polars.DataFrame.select.
slice(offset[, length])See polars.DataFrame.slice.
sort(by, *more_by, **kwargs)See polars.DataFrame.sort.
tail([n])See polars.DataFrame.tail.
xy to zscore
with_columns(*exprs, **named_exprs)See polars.DataFrame.with_columns.
with_outlier_filter([filter_window, ...])with outlier filter
with_row_index([name, offset])See polars.DataFrame.with_row_index.
Attributes
See polars.DataFrame.columns.
See polars.DataFrame.schema.
- dataframe(dataframe=None, may_inplace=True)[source]
Getter/setter for the internal Polars DataFrame.
- Parameters:
dataframe (DataFrame | None) – Optional new dataframe to set.
may_inplace – If True, update current instance. Otherwise, return new instance.
- Returns:
The current dataframe or a modified wrapper instance.
- with_outlier_filter(filter_window=15, baseline_window=50, max_spike=25, max_diff=25)[source]
with outlier filter
- Parameters:
filter_window (int)
baseline_window (int)
max_spike (int)
max_diff (int)
- Returns:
- Return type:
Self
- clear(n=5)
See polars.DataFrame.clear.
- Parameters:
n (int)
- Return type:
Self
- clone()
Clone the wrapper.
- Return type:
Self
- property columns: list[str]
See polars.DataFrame.columns.
- drop(*columns, strict=True)
See polars.DataFrame.drop.
- Parameters:
columns (pty.ColumnNameOrSelector | Iterable[pty.ColumnNameOrSelector])
strict (bool)
- Return type:
Self
- drop_nulls(subset)
See polars.DataFrame.drop_nulls.
- Parameters:
subset (pty.ColumnNameOrSelector | Collection[pty.ColumnNameOrSelector])
- Return type:
Self
- fill_nan(value=None)
See polars.DataFrame.fill_nan.
- Parameters:
value (pl.Expr | int | float | None)
- Return type:
Self
- fill_null(value=None, strategy=None, limit=None, **kwargs)
See polars.DataFrame.fill_null.
- Parameters:
value (Any | pl.Expr | None)
strategy (pty.FillNullStrategy | None)
limit (int | None)
- Return type:
Self
- filter(*predicates, **constraints)
See polars.DataFrame.filter.
- Parameters:
predicates (pty.IntoExprColumn | Iterable[pty.IntoExprColumn] | bool | list[bool] | np.ndarray)
constraints (Any)
- Return type:
Self
- group_by(*by, maintain_order=False, **named_by)
See polars.DataFrame.group_by.
- Parameters:
by (pty.IntoExpr | Iterable[pty.IntoExpr])
maintain_order (bool)
named_by (pty.IntoExpr)
- Return type:
GroupBy
- head(n=5)
See polars.DataFrame.head.
- Parameters:
n (int)
- Return type:
Self
- join(other, on, *args, **kwargs)
See polars.DataFrame.join.
- Parameters:
other (pl.DataFrame | DataFrameWrapper)
- Return type:
Self
- lazy()
Wrap dataframe in a lazy wrapper.
- Return type:
LazyDataFrameWrapper[Self]
- limit(n=5)
See polars.DataFrame.limit.
- Parameters:
n (int)
- Return type:
Self
- partition_by(by, *more_by, as_dict=False, **kwargs)
See polars.DataFrame.partition_by.
- pipe(function, *args, **kwargs)
See polars.DataFrame.pipe.
- Parameters:
function (Callable[Concatenate[pl.DataFrame, P], pl.DataFrame])
args (P.args)
kwargs (P.kwargs)
- Return type:
Self
- rename(mapping)
See polars.DataFrame.rename.
- Parameters:
mapping (dict[str, str] | Callable[[str], str])
- Return type:
Self
- property schema: Schema
See polars.DataFrame.schema.
- select(*exprs, **named_exprs)
See polars.DataFrame.select.
- Parameters:
exprs (pty.IntoExpr | Iterable[pty.IntoExpr])
named_exprs (pty.IntoExpr)
- Return type:
Self
- slice(offset, length=None)
See polars.DataFrame.slice.
- Parameters:
offset (int)
length (int | None)
- Return type:
Self
- sort(by, *more_by, **kwargs)
See polars.DataFrame.sort.
- Return type:
Self
- tail(n=5)
See polars.DataFrame.tail.
- Parameters:
n (int)
- Return type:
Self
- with_columns(*exprs, **named_exprs)
See polars.DataFrame.with_columns.
- Parameters:
exprs (pty.IntoExpr | Iterable[pty.IntoExpr])
named_exprs (pty.IntoExpr)
- Return type:
Self
- with_row_index(name='index', offset=0)
See polars.DataFrame.with_row_index.
- Parameters:
name (str)
offset (int)
- Return type:
Self