diff --git a/docs/FunctionDescriptions.md b/docs/FunctionDescriptions.md index 66b78a567d5b87329f47880c1a38983b3f78dc0b..6d089ac43ec68443afba484b0a5161cb5ad025bd 100644 --- a/docs/FunctionDescriptions.md +++ b/docs/FunctionDescriptions.md @@ -25,7 +25,10 @@ Main documentation of the implemented functions, their purpose and parameters an - [machinelearning](#machinelearning) - [harmonize](#harmonize) - [deharmonize](#deharmonize) - - [harmonize_shift2Grid](#harmonize_shift2Grid) + - [harmonize_shift2Grid](#harmonize_shift2grid) + - [harmonize_shift2Grid](#harmonize_aggregate2grid) + - [harmonize_shift2Grid](#harmonize_linear2grid) + - [harmonize_shift2Grid](#harmonize_interpolate2grid) ## range @@ -774,7 +777,7 @@ and than: (According to the flagging order of the current flagger.) -## harmonize_shift2Grid +## harmonize_shift2grid ``` harmonize_shift2Grid(freq, shift_method='nearest_shift', drop_flags=None) @@ -819,7 +822,7 @@ In detail, the process includes: if there is one available in the succeeding sampling interval. If not, BAD/np.nan - flag gets assigned. * `"nearest_shift"`: every grid point gets assigned the closest flag/datapoint in its range. ( range = +/- `freq`/2 ). -## harmonize_aggregate2Grid +## harmonize_aggregate2grid ``` harmonize_aggregate2Grid(freq, agg_func, agg_method='nearest_agg', flag_agg_func=max, drop_flags=None) @@ -876,7 +879,7 @@ In detail, the process includes: aggregated with the function passed to agg_method and assigned to it. -## harmonize_linear2Grid +## harmonize_linear2grid ``` harmonize_linear2Grid(freq, flag_assignment_method='nearest_agg', flag_agg_func=max, drop_flags=None) @@ -929,7 +932,7 @@ Linear interpolation of an inserted equidistant frequency grid of sampling rate aggregated with the function passed to `agg_func` and assigned to it. -## harmonize_interpolate2Grid +## harmonize_interpolate2grid ``` harmonize_interpolate2Grid(freq, interpolation_method, interpolation_order=1, flag_assignment_method='nearest_agg',