pyppin.math.functions

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Create real-valued functions by interpolating data.

Utilities like plot_ascii take a real-valued function, i.e. a Callable[[float], float], as their argument. This library lets you turn a set of data points into an (interpolated) function that you can use there.

Classes

FunctionFromSortedData(data)

Base class for functions built out of a set of (x, y) data pairs.

Interpolate(data)

Build a function by linearly interpolating (i.e.

PiecewiseConstant(data)

Build a piecewise constant function, i.e. one that gives constant values between one given x-value and the next.
class pyppin.math.functions.FunctionFromSortedData(data: Union[List[Tuple[float, float]], Dict[float, float]])[source]

Bases: ABC

Base class for functions built out of a set of (x, y) data pairs.

All the subclasses of this are callable objects that behave like a function from float to float, and are constructed from a collection of (x, y) data pairs, either as a list or a dict. If provided as a list, no more than one y-value should be given per x-value!

class pyppin.math.functions.Interpolate(data: Union[List[Tuple[float, float]], Dict[float, float]])[source]

Bases: FunctionFromSortedData

Build a function by linearly interpolating (i.e. drawing straight lines) between the given data points.

class pyppin.math.functions.PiecewiseConstant(data: Union[List[Tuple[float, float]], Dict[float, float]])[source]

Bases: FunctionFromSortedData

Build a piecewise constant function, i.e. one that gives constant values between one given x-value and the next.