Data.mean

Data.mean(column: str | int | Pattern | Sequence[int | str | Pattern] | None = None, sigma: ndarray[tuple[Any, ...], dtype[_ScalarT]] | str | int | Pattern | Sequence[int | str | Pattern] | None = None, bounds: Callable | None = None) → float

Find mean value of col_a data column.

Parameters:

• datafile (Data) – If not being used as a bound menthod, specifies the instance of Data to work with.

• column (index) – Column to look for the maximum in

Keyword Arguments:

• sigma (column index or array) – The uncertainty noted for each value in the mean

• bounds (callable) – col_a callable function that takes col_a single argument list of numbers representing one row, and returns True for all rows to search in.

Returns:

(float) – The mean of the data.

Note

If column is not defined (or is None) the DataFile.setas column assignments are used.

Todo

Fix the row index when the bounds function is used - see note of Stoner.Data.max()