fgtools/utils/interpolator.py

92 lines
3.0 KiB
Python
Raw Normal View History

#!/usr/bin/env python
#-*- coding:utf-8 -*-
import math
class Interpolator:
def __init__(self):
self._indexes = []
self._values = []
self._sorted = False
def add_value(self, index, value):
if type(index) not in (int, float) or type(value) not in (int, float):
try:
index = float(index)
value = float(value)
except ValueError:
raise TypeError(f"Interpolator.add_value: index '{index}' or value '{value}' not a number")
self._indexes.append(index)
self._values.append(value)
self._sorted = False
def add_values(self, indexes, values):
for i, v in zip(indexes, values):
self.add_value(i, v)
def interpolate(self, index, extrapolate=True, method="linear", sort=True):
if not hasattr(self, "_interpolate_" + method):
raise NotImplementedError(f"Interpolator.interpolate: interpolation method '{method}' not yet supported")
if len(self._indexes) < 2:
raise ValueError(f"Interpolator.interpolate: cannot interpolate on a table with less than two data points")
# only sort if not already sorted to increase performance for large tables
if not self._sorted and sort:
self._indexes.sort()
self._values.sort()
self._sorted = True
if index in self._indexes:
return self._values[self._indexes.index(index)]
if self._indexes[0] < index < self._indexes[-1]:
return getattr(self, "_interpolate_" + method)(index, extrapolate)
else:
if not extrapolate:
if index < self._indexes[0]:
return self._values[0]
else:
return self._values[-1]
else:
if index < self._indexes[0]:
return self._values[1] + (index - self._indexes[1]) / (self._indexes[0] - self._indexes[1]) * (self._values[0] - self._values[1])
else:
return self._values[-2] + (index - self._indexes[-2]) / (self._indexes[-1] - self._indexes[-2]) * (self._values[-1] - self._values[-2])
def _find_neighbours(self, index):
lower = upper = 0
last = self._indexes[0]
for it, _index in enumerate(self._indexes):
lower = last
last = it
if _index > index:
upper = it
break
return lower, upper
def _interpolate_linear(self, index, extrapolate=True):
lower, upper = self._find_neighbours(index)
return self._values[lower] + (self._values[upper] - self._values[lower]) * (index - self._indexes[lower]) / (self._indexes[upper] - self._indexes[lower])
def _interpolate_sinusoidal(self, index, extrapolate=True):
lower, upper = self._find_neighbours(index)
return self._values[lower] + (self._values[upper] - self._values[lower]) * math.sin(math.radians((index - self._indexes[lower]) / (self._indexes[upper] - self._indexes[lower]) * 90))
# run test if run directly
if __name__ == "__main__":
print("Test results:")
print()
i = Interpolator()
i.add_values((0, 10, 20), (0, 20, 30))
test_vals = (-5, 0, 1, 2, 3.5, 5.55555, 10, 15, 35, 100)
for method in ("linear", "sinusoidal"):
print(method.capitalize() + ":")
for test_val in test_vals:
print(test_val, "=>", i.interpolate(test_val, method=method))
print()