continuous_timeseries.typing#

Helpful type hints

Attributes:

Name	Type	Description
`NP_ARRAY_OF_FLOAT_OR_INT`	`TypeAlias`	Type alias for an array of numpy float or int (not complex)
`NP_FLOAT_OR_INT`	`TypeAlias`	Type alias for a numpy float or int (not complex)
`PINT_NUMPY_ARRAY`	`TypeAlias`	Type alias for a pint quantity that wraps a numpy array
`PINT_SCALAR`	`TypeAlias`	Type alias for a pint quantity that wraps a numpy scalar

NP_ARRAY_OF_FLOAT_OR_INT `module-attribute` #

NP_ARRAY_OF_FLOAT_OR_INT: TypeAlias = NDArray[
    NP_FLOAT_OR_INT
]

Type alias for an array of numpy float or int (not complex)

NP_FLOAT_OR_INT: TypeAlias = Union[floating, integer]

Type alias for a numpy float or int (not complex)

PINT_NUMPY_ARRAY: TypeAlias = NumpyQuantity[
    NP_ARRAY_OF_FLOAT_OR_INT
]

Type alias for a pint quantity that wraps a numpy array

No shape hints because that doesn't seem to be supported by numpy yet.

PINT_SCALAR: TypeAlias = NumpyQuantity[NP_FLOAT_OR_INT]

Type alias for a pint quantity that wraps a numpy scalar