linopy.constraints.Constraint

class linopy.constraints.Constraint(data, model, name='')

Projection to a single constraint in a model.

The Constraint class is a subclass of xr.DataArray hence most xarray functions can be applied to it.

__init__(data, model, name='')

Initialize the Constraint.

Parameters:

• labels (xarray.DataArray) – labels of the constraint.

• model (linopy.Model) – Underlying model.

• name (str) – Name of the constraint.

Methods

__init__(data, model[, name])	Initialize the Constraint.
from_rule(model, rule, coords)	Create a constraint from a rule and a set of coordinates.
isel([indexers, drop, missing_dims])	Wrapper for the xarray Dataset.isel function for linopy.Constraint
print([display_max_rows, display_max_terms])	Print the linear expression.
sel([indexers, method, tolerance, drop])	Wrapper for the xarray Dataset.sel function for linopy.Constraint

Attributes

attrs
coeffs	Get the left-hand-side coefficients of the constraint.
coord_dims
coord_sizes
coords
data	Get the underlying DataArray.
dims
dual	Get the dual values of the constraint.
flat	Convert the constraint to a pandas DataFrame.
indexes
is_assigned
labels	Get the labels of the constraint.
lhs	Get the left-hand-side linear expression of the constraint.
mask	Get the mask of the constraint.
model	Get the model of the constraint.
name	Return the name of the constraint.
ndim
nterm
range	Return the range of the constraint.
rhs	Get the right hand side constants of the constraint.
shape
sign	Get the signs of the constraint.
size
sizes
term_dim	Return the term dimension of the constraint.
type	Get the type of the constraint.
values
vars	Get the left-hand-side variables of the constraint.