linopy.constraints.Constraints

class linopy.constraints.Constraints(data=<factory>, model=None)

A constraint container used for storing multiple constraint arrays.

__init__(data=<factory>, model=None)

Methods

__init__([data, model])
add(constraint)	Add a constraint to the constraints constrainer.
get_label_position(values)	Get tuple of name and coordinate for constraint labels.
get_name_by_label(label)	Get the constraint name of the constraint containing the passed label.
items()
print_labels(values[, display_max_terms])	Print a selection of labels of the constraints.
remove(name)	Remove constraint name from the constraints.
reset_dual()	Reset the stored solution of variables.
sanitize_missings()	Set constraints labels to -1 where all variables in the lhs are missing.
sanitize_zeros()	Filter out terms with zero and close-to-zero coefficient.
set_blocks(block_map)	Get a dataset of same shape as constraints.labels with block values.
to_matrix([filter_missings])	Construct a constraint matrix in sparse format.

Attributes

coefficientrange	Coefficient range of the constraint.
coeffs	Get the coefficients of all constraints.
dataset_attrs
dataset_names
dual	Get the dual values of all constraints.
equalities	Get the subset of constraints which are purely equalities.
flat	Convert all constraint to a single pandas Dataframe.
inequalities	Get the subset of constraints which are purely inequalities.
labels	Get the labels of all constraints.
loc
model
ncons	Get the number all constraints effectively used by the model.
rhs	Get the right-hand-side constants of all constraints.
sign	Get the signs of all constraints.
vars	Get the variables of all constraints.
data