ResetIndex type: reset_index#
- class lumen.transforms.base.ResetIndex(*, col_fill, col_level, drop, level, controls, name)#
ResetIndex resets DataFrame indexes to columns or drops them, see pandas.DataFrame.reset_index
df.reset_index(drop=<drop>, col_fill=<col_fill>, col_level=<col_level>, level=<level>)
Parameters#
type: str
default: ''
If the columns have multiple levels, determines how the otherlevels are named. If None then the index name is repeated.
type: int | str
default: 0
If the columns have multiple levels, determines which level thelabels are inserted into. By default it is inserted into thefirst level.
type: bool
default: False
Do not try to insert index into dataframe columns. This resetsthe index to the default integer index.
type: int | str | list
default: None
Only remove the given levels from the index. Removes all levelsby default.
Methods#
- ResetIndex.apply(table: DataFrame) DataFrame#
Given a table transform it in some way and return it.
- Parameters:
table (DataFrame) – The queried table as a DataFrame.
- Returns:
A DataFrame containing the transformed data.
- Return type:
DataFrame
- ResetIndex.to_spec(context: Dict[str, Any] | None = None) Dict[str, Any]#
Exports the full specification to reconstruct this component.
- Return type:
Resolved and instantiated Component object