neuralib.deeplabcut.core.JointDataFrame
- class neuralib.deeplabcut.core.JointDataFrame[source]
Bases:
DataFrameWrapperDataframe from a specific joint
┌───────────┬────────────┬─────────────────┐ │ Nose_x ┆ Nose_y ┆ Nose_likelihood │ │ --- ┆ --- ┆ --- │ │ f64 ┆ f64 ┆ f64 │ ╞═══════════╪════════════╪═════════════════╡ │ 57.907318 ┆ 512.547424 ┆ 0.999679 │ │ 57.907318 ┆ 516.795288 ┆ 0.999688 │ │ 57.907318 ┆ 519.56311 ┆ 0.999449 │ │ 56.733799 ┆ 522.204224 ┆ 0.999161 │ │ 53.546089 ┆ 525.24939 ┆ 0.999518 │ │ … ┆ … ┆ … │ │ 94.259621 ┆ 43.849434 ┆ 0.973851 │ │ 94.294357 ┆ 44.111595 ┆ 0.980125 │ │ 94.8013 ┆ 44.340511 ┆ 0.963981 │ │ 94.294357 ┆ 44.340511 ┆ 0.947905 │ │ 94.294357 ┆ 44.340511 ┆ 0.965436 │ └───────────┴────────────┴─────────────────┘
Methods
__init__(df)clear([n])See polars.DataFrame.clear.
clone()Clone the wrapper.
dataframe(-> ~polars.dataframe.frame.DataFrame)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[, how, left_on, right_on, ...])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[, descending, nulls_last, ...])See polars.DataFrame.sort.
tail([n])See polars.DataFrame.tail.
with_columns(*exprs, **named_exprs)See polars.DataFrame.with_columns.
with_row_index([name, offset])See polars.DataFrame.with_row_index.
Attributes
columnsSee polars.DataFrame.columns.
schemaSee polars.DataFrame.schema.
- dataframe() DataFrame[source]
- dataframe(dataframe: DataFrame, may_inplace: bool = True) Self
Getter/setter for the internal Polars DataFrame.
- Parameters:
dataframe (DataFrame | None) – Optional new dataframe to set.
may_inplace (bool) – If True, update current instance. Otherwise, return new instance.
- Returns:
The current dataframe or a modified wrapper instance.
- Return type:
DataFrame | Self