cost_utils

A toolbox of useful transport cost related functionality.

Functions

cost_distribution(matrix, cost_matrix[, ...])	Calculate the distribution of costs across a matrix.
create_log_bins(max_value[, n_bin_pow, ...])	Dynamically choose the bins based on the maximum possible value.
dataclass([_cls, init, repr, eq, order, ...])	Like the python standard lib dataclasses but with type validation.
dynamic_cost_distribution(matrix, ...)	Calculate the distribution of costs across a matrix, using dynamic bins.
normalised_cost_distribution(matrix, cost_matrix)	Calculate the normalised distribution of costs across a matrix.

Classes

CostDistribution(df[, min_col, max_col, ...])

Distribution of cost values between variable bounds.