# Constraint¶

class astroplan.Constraint[source]

Bases: object

Abstract class for objects defining observational constraints.

Methods Summary

 __call__(observer, targets[, times, ...]) Compute the constraint for this class compute_constraint(times, observer, targets) Actually do the real work of computing the constraint.

Methods Documentation

__call__(observer, targets, times=None, time_range=None, time_grid_resolution=<Quantity 0.5 h>, grid_times_targets=False)[source]

Compute the constraint for this class

Parameters: observer : Observer the observation location from which to apply the constraints targets : sequence of Target The targets on which to apply the constraints. times : Time The times to compute the constraint. WHAT HAPPENS WHEN BOTH TIMES AND TIME_RANGE ARE SET? time_range : Time (length = 2) Lower and upper bounds on time sequence. time_grid_resolution : quantity Time-grid spacing grid_times_targets : bool if True, grids the constraint result with targets along the first index and times along the second. Otherwise, we rely on broadcasting the shapes together using standard numpy rules. Returns ——- constraint_result : 1D or 2D array of float or bool The constraints. If 2D with targets along the first index and times along the second.
compute_constraint(times, observer, targets)[source]

Actually do the real work of computing the constraint. Subclasses override this.

Parameters: times : Time The times to compute the constraint observer : Observer the observaton location from which to apply the constraints targets : sequence of Target The targets on which to apply the constraints. constraint_result : 2D array of float or bool The constraints, with targets along the first index and times along the second.