Python库 | scikit-vectors-0.6.5.tar.gz

[](https://travis-ci.org/t-o-k/scikit-vectors) # Functions to create n-dimensional vector classes This is a Python library with functions that create vector classes with 2, 3 or an arbitrary number of dimensions. The name of the classes to be created, and the names of their vector components are set when calling the functions. The brackets for the vectors and the seperators for their components can also be given as arguments to these functions. There are 11 functions that create vector classes. Each of them creates vector classes with a certain functionality. 8 of the functions create vector classes with a cartesian coordinate system and 4 of the functions create vector classes with tolerances for comparing vectors. Created vector classes can be extended with extra functionality for processing their vector instances and ther component values. Some of the vector classes are suitable for using e.g. NumPy's ndarrays, Pandas Series or SymPy's algebraic expressions as component values. ## Project homepage https://github.com/t-o-k/scikit-vectors ## Project wiki https://github.com/t-o-k/scikit-vectors/wiki The wiki has links to documents that shows how created vector classes can be used. ## Installation scikit-vectors requires Python version 3.5 or higher. ```shell pip install scikit-vectors ``` ## Examples In addition to the short examples below, there are some more elaborate ones here: https://github.com/t-o-k/scikit-vectors_examples ### Simple examples ```python >>> from math import pi >>> from skvectors import create_class_Cartesian_3D_Vector >>> CV3D = create_class_Cartesian_3D_Vector('CV3D', 'xyz', brackets=[ '<< ', ' >>' ]) >>> u = CV3D(3, 0, -4) >>> print(u) << 3, 0, -4 >> >>> v = CV3D(1, -2, 3) * 2 >>> repr(v) 'CV3D(x=2, y=-4, z=6)' >>> u.normalize() CV3D(x=0.6, y=0.0, z=-0.8) >>> u.dot(v) -18 >>> u.cross(v) CV3D(x=-16, y=-26, z=-12) >>> u = CV3D(4.5, -3.0, -1.5) >>> v = CV3D(-3, -3, -3) >>> u.angle(v) / pi 0.49999999999999994 >>> u = CV3D(5, -4, -3) >>> v = CV3D(-2, 0, 2) >>> u.project(v) CV3D(x=4.0, y=-0.0, z=-4.0) >>> u = CV3D(-5, 0, 0) >>> v = CV3D(0, 12, 0) >>> (u - v).length() 13.0 >>> u = CV3D(-3, 4, -5) >>> u.rotate_x(pi) CV3D(x=-3, y=-3.9999999999999996, z=5.000000000000001) >>> u = CV3D(-3, 4, -5) >>> v = CV3D(0, -10, -8) >>> u.axis_rotate(v, -pi) CV3D(x=2.999999999999999, y=-4.0, z=5.0) >>> u = CV3D(-3, 4, -5) >>> v = CV3D(-6, 0, 0) >>> w = CV3D(0, 0, 7) >>> u.reorient(v, w) CV3D(x=-5.0, y=4.0, z=3.0) >>> u = CV3D(0, -1, 2) >>> v = CV3D(-3, 4, -5) >>> w = CV3D(3, 1, 2) >>> u.stp(v, w) -21 >>> ``` ```python >>> from skvectors import create_class_Simple_Vector >>> SV = create_class_Simple_Vector('SV', [ 'first', 'second', 'third', 'fourth', 'fifth', 'sixth' ]) >>> u = SV(3, 1, -2, -3, 4, 2) >>> u SV(first=3, second=1, third=-2, fourth=-3, fifth=4, sixth=2) >>> v = SV(2, -2, 1, 3, 1, 4) >>> u * v + 10 SV(first=16, second=8, third=8, fourth=1, fifth=14, sixth=18) >>> 2 * (u - v) SV(first=2, second=6, third=-6, fourth=-12, fifth=6, sixth=-4) >>> u**v / 2 SV(first=4.5, second=0.5, third=-1.0, fourth=-13.5, fifth=2.0, sixth=8.0) >>> u *= 2 / v >>> u SV(first=3.0, second=-1.0, third=-4.0, fourth=-2.0, fifth=8.0, sixth=1.0) >>> u.first 3.0 >>> (u + v).sixth 5.0 >>> u.fifth += 20 >>> u SV(first=3.0, second=-1.0, third=-4.0, fourth=-2.0, fifth=28.0, sixth=1.0) >>> u.c_add_third(24) SV(first=3.0, second=-1.0, third=20.0, fourth=-2.0, fifth=28.0, sixth=1.0) >>> u.c_imul_bar_second(1000) >>> u SV(first=3000.0, second=-1.0, third=-4000.0, fourth=-2000.0, fifth=28000.0, sixth=1000.0) >>> v = SV(0, 1, 2, 3, 4, 5) / 6 >>> round(v, 3) SV(first=0.0, second=0.167, third=0.333, fourth=0.5, fifth=0.667, sixth=0.833) >>> ``` ### Not so simple example with NumPy ```python >>> from skvectors import create_class_Cartesian_3D_Vector >>> import numpy as np >>> NP3 = \ ... create_class_Cartesian_3D_Vector( ... name = 'NP3', ... component_names = [ chr(0x03b1)*2, chr(0x03b2)*2, chr(0x03b3)*2 ], ... brackets = [ chr(0x2770)*2 + ' ', ' ' + chr(0x2771)*2 ], ... sep = ', ', ... cnull = np.array([ 0., 0., 0., 0. ]), ... cunit = np.array([ 1., 1., 1., 1. ]), ... functions = \ ... { ... 'eq': np.equal, ... 'ne': np.not_equal, ... 'not': np.logical_not, ... 'and': np.logical_and, ... 'or': np.logical_or, ... 'all': np.all, ... 'any': np.any, ... 'min': np.minimum, ... 'max': np.maximum, ... 'abs': np.absolute, ... 'int': np.rint, ... 'ceil': np.ceil, ... 'copysign': np.copysign, ... 'log10': np.log10, ... 'cos': np.cos, ... 'sin': np.sin, ... 'atan2': np.arctan2, ... 'pi': np.pi ... } ... ) >>> NP3.component_names() ['αα', 'ββ', 'γγ'] >>> u = \ ... NP3( ... np.random.randint(-10, 10, size=4), ... np.random.randint(-10, 10, size=4), ... np.random.randint(-10, 10, size=4) ... ) >>> u NP3(αα=array([ 7., -8., 5., 7.]), ββ=array([-1., -4., 7., -4.]), γγ=array([ 1., 6., -2., 8.])) >>> u /= 10 >>> u NP3(αα=array([ 0.7, -0.8, 0.5, 0.7]), ββ=array([-0.1, -0.4, 0.7, -0.4]), γγ=array([ 0.1, 0.6, -0.2, 0.8])) >>> v = \ ... NP3( ... np.array([ -3, 5, -1, 2 ]), ... np.array([ 0, 12, 0, -1 ]), ... np.array([ 4, 0, 0, 2 ]) ... ) >>> str(v) '❰❰ [-3. 5. -1. 2.], [ 0. 12. 0. -1.], [ 4. 0. 0. 2.] ❱❱' >>> v.length() array([ 5., 13., 1., 3.]) >>> v.contains(np.array([ 4.0, 2.0, -1.0, 3.0 ])) array([ True, False, True, False], dtype=bool) >>> (u - v) * 10 NP3(αα=array([ 37., -58., 15., -13.]), ββ=array([ -1., -124., 7., 6.]), γγ=array([-39., 6., -2., -12.])) >>> w = NP3(1, -1, 0) >>> w NP3(αα=array([ 1., 1., 1., 1.]), ββ=array([-1., -1., -1., -1.]), γγ=array([ 0., 0., 0., 0.])) >>> u.reorient(v, w) NP3(αα=array([ 0.1771821 , -0.0652714 , -0.84852814, 0.76479998]), ββ=array([ 0.65801471, 0.8920424 , -0.14142136, -0.83797539]), γγ=array([-0.21359575, 0.6 , -0.2 , 0.05364919])) >>> u.axis_rotate(NP3(1, -2, 1), np.pi/4) NP3(αα=array([ 0.51492277, -0.76733621, 0.21325376, 0.26084032]), ββ=array([ 0.00486333, -0.74556654, 0.80444152, -0.53626169]), γγ=array([ 0.49480389, -0.12379688, 0.29562928, 0.96663629])) >>> ``` ## Running the tests ```shell git clone https://github.com/t-o-k/scikit-vectors cd scikit-vectors python3 -m unittest discover ``` Here's more information: https://travis-ci.org/t-o-k/scikit-vectors ## License information See the file LICENSE for information on terms & conditions for usage, and a DISCLAIMER OF ALL WARRANTIES. ## Author Tor Olav Kristensen http://subcube.com