flasc.data_processing.time_operations.df_movingaverage#
- flasc.data_processing.time_operations.df_movingaverage(df_in, cols_angular, window_width=datetime.timedelta(seconds=60), min_periods=1, center=True, calc_median_min_max_std=False)[source]#
Compute a moving average of a dataframe with angular columns.
Note that median, minimum, and maximum do not handle angular quantities and should be treated carefully. Standard deviation handles angular quantities.
- Parameters:
df_in (pd.DataFrame) -- Input dataframe.
cols_angular (list) -- List of angular columns.
window_width (timedelta) -- Width of the moving average window.
min_periods (int) -- Minimum number of periods to consider.
center (bool) -- Center the time index. Default is True.
calc_median_min_max_std (bool) -- Calculate median, min, max, and std. Default is False.
- Returns:
Output dataframe with moving averages.
- Return type:
pd.DataFrame