def angle_between(v1, v2): """ Calculates the angle between vector `v1` and vector `v2`. >>> round(angle_between((0, 5), (1, 1))) 45.0 :param v1: a vector :type v1: sequence of two integers/floats :param v2: another vector :type v2: sequence of two integers/floats :...
subplot_1.plot(np.random.rand(number_of_data_points).cumsum())#累计每产生的随机数总和number_of_ticks= 5ticks= np.arange(0, number_of_data_points, number_of_data_points//number_of_ticks) subplot_1.set_xticks(ticks)#设置x轴tick的数据labels = subplot_1.set_xticklabels(['one','two',...
Parameters --- npts : int or tuple Number of angle points sampled. closed : bool Whether to generate an open mesh (like `np.ogrid`) or a closed mesh like `np.mgrid` or `np.meshgrid`. By default, an open grid is generated. Returns --- theta, phi : (N,) or (N,M) ndarray ...
As a result, we get two matrices, one each for the radii and the angles. Each of the two matrices is of the shape 45×10. Let us now try visualizing these generated points on a polar coordinate plane using pyplot. import matplotlib.pyplot as plt ax = plt.subplot(111, polar=True) ax...
def vector_angle(u, v, direction=None): ''' vector_angle(u, v) yields the angle between the two vectors u and v. The optional argument direction is by default None, which specifies that the smallest possible angle between the vectors be reported; if the vectors u and v are 2D vectors...
# also no angle in pipe ate those points constraints = [ Eq(ya.subs({x1: 0}), 0), Eq(ya.subs({x1: 60}), -p), Eq(ya.diff(x1).subs({x1: 0}), 0), Eq(ya.diff(x1).subs({x1: 60}), 0) ] x1data = np.linspace(0, 60., 60) ...
def trilateration(self, D): ''' Find the location of points based on their distance matrix using trilateration Parameters --- D : square 2D ndarray Euclidean Distance Matrix (matrix containing squared distances between points ''' dist = np.sqrt(D) # Simpler algorithm (no denoising) self...
The goal of the exercise is to write a function using NumPy that takes a two-dimensional float array and returns the dimension. We'll consider values in the array to be normalized (i.e. all values are between 0 and 1). .. admonition:: **Figure 4.7** :class: legend The Minkowski–...
nrb4surf- Surface defined by 4 corner points. nrbeval- Evaluation of NURBS curve or surface. nrbextrude- Extrude a NURBS curve along a vector. nrbrevolve- Construct surface by revolving a profile. nrbruled- Ruled surface between two NURBS curves. ...
where the maximum_number_of_elements_per_batch is the maximum number of data points times evaluation points to process in a single batch.The Kernel density estimate can be computed on different points on multiple GPUs in parallel using the method evaluate_in_batches_on_multiple_gpus as follows...