typespecs.frame module#

class typespecs.frame.SpecFrame(data=None, index: Axes | None = None, columns: Axes | None = None, dtype: Dtype | None = None, copy: bool | None = None)[source]#

Bases: DataFrame

Specification DataFrame.

This is a subclass of the pandas DataFrame without any runtime modifications. It is intended to distinguish a specification DataFrame from other DataFrames.

typespecs.frame.concat(frames: Iterable[DataFrame], /) → DataFrame[source]#

Concatenate DataFrames with missing values filled with <NA>.

Parameters:: frames – DataFrames to concatenate.
Returns:: Concatenated DataFrame.

typespecs.frame.default(frame: DataFrame, value: Mapping[str, Any] | Any, /) → DataFrame[source]#

Fill missing values in given DataFrame with given value.

Parameters:

frame – DataFrame to fill.
value – Default value for each column. Either a single value or a mapping of column names to values is accepted.

Returns:

DataFrame with missing values filled.

typespecs.frame.merge(frame: DataFrame, /) → DataFrame[source]#

Merge multiple rows of a DataFrame into a single row.

Parameters:: frame – DataFrame to merge.
Returns:: Merged DataFrame.