Then, we have defined the range for the angle, from 0 to π, or from 0° to 180°. We are considering 45 distinct values in this range. Then, we create the meshgrid of these radii and angles. As a result, we get
Vector and Transformation Utilities vecnorm- Normalisation of Vectors. vecmag- Magnitude of Vectors. vecmag2- Squared Magnitude of the vectors. vecangle- Alternative to atan2 (0 <= angle <= 2*pi). vecdot- Dot product of two vectors. veccross- Cross product of two vectors. vecrotx- Rotatio...
These convert between the standard 3-d vector representation and their equivalent quaternions, which allows them to be manipulated as vectors — as inR * from_vector_part(v) * R.conjugate(). However, note that you may not need to convert to/from quaternions. For example, to rotate vectorsv...
The input is given in the form of astructured arrayin numpy. The first four fields of the input arrayvectorsmust be either: np.dtype([('pT','f8'), ('eta','f8'), ('phi','f8'), ('mass','f8')]) or ifcluster(..., ep=True): ...
Parameters --- X : {array-like, sparse matrix}, shape = [n_samples, n_features] Training vectors, where n_samples is the number of samples and n_features is the number of features. Returns --- maj : array-like, shape = [n_samples] Predicted class labels. """ if self.voting ==...
Correlation quantifies the degree of correspondence between two vectors as they vary. However, if one vector remains constant, it is impossible to observe their mutual variation. The formula for Pearson's product-moment correlation coefficient involves dividing the covariance ofXandYby their standard ...
# intersect manifold with vantage vectors # calculate distance dist_A_alpha = dist_A dist_B_alpha = dist_B # calculate lambda # sinusoid taking as input the angle between vantage and line AB (separating the two targets) line_AB = np3_to_vector3(PAB).perpendicular() angle_A = py_ang...