Base module

Vectors

Vector(x, y, z)	Class representing a single vector.
VectorArray(vectors)	Class representing an array of vectors.
asvector(input)	Convert Vector-like input to a Vector.
asvectorarray(input)	Convert VectorArray-like input to a VectorArray.

Coordinate Systems

CoordinateSystem(vector_1, vector_2[, vector_3])	Class representing a single coordinate system.
CoordinateSystemArray(vectors_1, vectors_2)	Class representing a collection of coordinate systems.

Data

DataXY(x, y[, title, xlabel, ylabel])

A class representing xy-data.

Histograms

Hist1d(values, edges[, title, xlabel, ylabel])	A histogram class providing basic histogram methods.
Hist2d(values, xedges, yedges[, title, ...])	A histogram class providing basic 2D-histogram methods.

Miscellaenous

get_all_dividers(n)	Find all dividers of n.
centers_to_edges(centers[, lower, upper])	Work out bin edges from bin centers.
edges_to_centers(edges)	Calculate centers from edges.
convert_cosine_to_angles(cos_angles, y_data)	Convert data given as a cosine to radians.
for_pcolormesh_from_txt(fname, *[, ...])	Load 2D data from a text file such that it can be plotted with matplotlib.pyplot.pcolormesh().
for_pcolormesh_from_root(fname, hname)	Load data from a ROOT file to plot it with matplotlib.pyplot.pcolormesh().
sample_distribution(edges, values, size)	Sample a distribution described by edges and values.
sample_distribution_func(f, size, xlimits, ...)	Sample a distribution described by f.
sample_distribution_discrete(values, ...)	Sample a discrete distribution of values, where the probability is given by probabilities.
gauss(x[, scale, mu, sigma])	Gaussian function.
crop(x, y[, lower, upper])	Return x,y data where lower <= x < upper.