- raphtory.nullmodels.permuted_timestamps_model(graph_df: DataFrame, time_col: int | None = None, time_name: str | None = None, inplace=False, sorted=False)#
Returns a DataFrame with the time column shuffled.
graph_df (pd.DataFrame) – The input DataFrame representing the graph.
time_col (int, optional) – The column number of the time column to shuffle. Default is None.
time_name (str, optional) – The column name of the time column to shuffle. Default is None.
inplace (bool, optional) – If True, shuffles the time column in-place. Otherwise, creates a copy of the DataFrame. Default is False.
sorted (bool, optional) – If True, sorts the DataFrame by the shuffled time column. Default is False.
The shuffled DataFrame with the time column, or None if inplace=True.
- Return type:
pd.DataFrame or None