Multiplies variables by factors from a two dimensional table.

The column names are expected to be numbers that represent the col_var variable.

Attributes¶

data_source: str or pandas.DataFrame

Either path to a file or data

row_var: str

The row-wise variable

col_var: str

The column-wise variable

ovars: list of str

The variables onto which the factors are multiplied

Public members¶

TableFactors(data_source, row_var, col_var, output_vars, ...)[source]

Constructor.

output_farm_vars(algo)[source]

The variables which are being modified by the model.

initialize(algo, verbosity=0)[source]

Initializes the model.

calculate(algo, mdata, fdata, st_sel)[source]

The main model calculation.

classmethod new(tmodel_type, *args, **kwargs)[source]

Run-time turbine model factory.

output_coords()[source]

Gets the coordinates of all output arrays

ensure_variables(algo, mdata, fdata)[source]

Add variables to fdata, initialized with NaN

run_calculation(algo, *data, out_vars, **calc_pars)[source]

Starts the model calculation in parallel, via xarray’s apply_ufunc.

__repr__()[source]

Return repr(self).

property model_id

Unique id based on the model type.

var(v)[source]

Creates a model specific variable name.

property initialized

Initialization flag.

sub_models()[source]

List of all sub-models

load_data(algo, verbosity=0)[source]

Load and/or create all model data that is subject to chunking.

property running

Flag for currently running models

set_running(algo, data_stash, sel=None, isel=None, verbosity=0)[source]

Sets this model status to running, and moves all large data to stash.

unset_running(algo, data_stash, sel=None, isel=None, verbosity=0)[source]

Sets this model status to not running, recovering large data from stash

finalize(algo, verbosity=0)[source]

Finalizes the model.

get_data(variable, target, lookup='smfp', mdata=None, ...)[source]

Getter for a data entry in the model object or provided data sources