Comparing two NumPy arrays for equality, element-wise, For example, try: (np.array([1])==np.array([])) If you want to check if two arrays have the same shape AND elements you should use np.array_equal as it is the method recommended in the documentation. method and by comparing the...
Learn how to determine if two arrays of strings are equal by utilizing swapping operations. Explore step-by-step explanations and examples.
def check_bounds(self, *, err_on_missing_bounds=False): "Checks if any variables are unbounded, through equality constraints." missingbounds = {} for var, locs in self.varlocs.items(): upperbound, lowerbound = False, False for i in locs: if i not in self.meq_idxs.all: if self....
It sort of makes sense but makes for odd syntax. I prefer a single Boolean False when two arrays have different types. That Numpy managed like this for years without major problems suggests that the lack of consistency (returning a single Boolean vs an array of Booleans) is not a big dea...
A NumPy array has various parts to it though, and some of the parts can be equal while others aren't. The new assertions are more strict in that they check for equality of dtypes and shapes in places where the old assertions didn't. ...