mirror of https://gitlab.com/pamhyr/pamhyr2
91 lines
2.0 KiB
Python
91 lines
2.0 KiB
Python
# -*- coding: utf-8 -*-
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from math import dist
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import numpy as np
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from Model.Geometry.Point import Point
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class PointXYZ(Point):
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def __init__(self, x:float = 0.0, y:float = 0.0, z:float = 0.0,
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name:str = ""):
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super(PointXYZ, self).__init__(name=name)
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self._x = float(x)
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self._y = float(y)
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self._z = float(z)
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@classmethod
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def from_data(cls, header, data):
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point = None
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try:
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if len(header) == 0:
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point = cls(
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*data
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)
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else:
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valid_header = {'name', 'x', 'y', 'z'}
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d = {}
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for i, v in enumerate(data):
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h = header[i].strip().lower().split(' ')[0]
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if h in valid_header:
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d[h] = v
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point = cls(**d)
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except Exception as e:
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raise ClipboardFormatError(header, data)
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return point
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def __repr__(self):
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return f"({self._x}, {self._y}, {self._z}, {self._name})"
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@property
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def x(self):
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return self._x
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@x.setter
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def x(self, value):
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self._x = float(value)
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@property
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def y(self):
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return self._y
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@y.setter
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def y(self, value):
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self._y = float(value)
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@property
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def z(self):
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return self._z
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@z.setter
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def z(self, value):
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self._z = float(value)
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def is_nan(self):
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"""
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Returns:
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True if at least one coordinate is as np.nan
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"""
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return (np.isnan(self.x) or
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np.isnan(self.y) or
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np.isnan(self.z))
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def dist(self, p2):
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return PointXYZ.distance(self, p2)
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@staticmethod
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def distance(p1, p2):
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"""Euclidean distance between p1 and p2.
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Args:
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p1: A XYZ Point
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p2: A XYZ Point
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Returns:
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Euclidean distance between the two points
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"""
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return dist((p1.x, p1.y, p1.z), (p2.x, p2.y, p2.z))
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