flasc.data_processing.time_operations.df_downsample

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flasc.data_processing.time_operations.df_downsample#

flasc.data_processing.time_operations.df_downsample(df_in, cols_angular, window_width=datetime.timedelta(seconds=60), min_periods=1, center=False, calc_median_min_max_std=False, return_index_mapping=False)[source]#

Downsample a dataframe to a average accounting for angular columns.

Parameters:

  • df_in (pd.DataFrame) -- Input dataframe.

  • cols_angular (list) -- List of angular columns.

  • window_width (timedelta) -- Width of the average window.

  • min_periods (int) -- Minimum number of data points for a bin to be valid.

  • center (bool) -- Center the time index. Default is False.

  • calc_median_min_max_std (bool) -- Calculate median, min, max, and std. Default is False.

  • return_index_mapping (bool) -- Return index mapping. Default is False.

Returns:

A tuple (pd.DataFrame, np.ndarray) if return_index_mapping is True. Where

the DataFrame is the downsampled dataframe and the np.ndarray is the index mapping.

A pd.DataFrame if return_index_mapping is False.

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