ssapy.plotUtils

Utility functions for plotting.

Functions

calculate_orbital_elements(r_, v_[, ...])	Calculate the Keplerian orbital elements from position and velocity vectors.
check_numpy_array(variable)	Checks if the input variable is a NumPy array, a list of NumPy arrays, or neither.
check_type(t)	Determines the type of the input and provides a description based on its structure.
draw_dashed_circle(ax, normal_vector, ...[, ...])	Draw a dashed circle on a 3D axis with a given normal vector.
draw_earth(time[, ngrid, R, rfactor])	param time: If float (array), then should correspond to GPS seconds;
draw_moon(time[, ngrid, R, rfactor])	param time: If float (array), then should correspond to GPS seconds;
find_file(filename[, ext])	Find a file in the current directory or the ssapy datadir.
find_smallest_bounding_cube(r[, pad])	Find the smallest bounding cube for a set of 3D coordinates, with optional padding.
format_date_axis(time_array, ax)	Format the x-axis of a plot with time-based labels depending on the span of the time array.
gcrf_to_itrf(r_gcrf, t[, v])	Converts a position vector in the GCRF (Geocentric Celestial Reference Frame) to the ITRF (International Terrestrial Reference Frame) in Cartesian coordinates.
gcrf_to_lunar(r, t[, v])	Transform position and velocity vectors from the GCRF (Geocentric Celestial Reference Frame) to a lunar-centric frame.
gcrf_to_lunar_fixed(r, t[, v])	Transform position and velocity vectors from the GCRF (Geocentric Celestial Reference Frame) to a Moon-fixed (lunar-centric) frame.
get_body(name[, model])	Get a Body object for a named body.
globe_plot(r, t[, limits, title, figsize, ...])	Plot a 3D scatter plot of position vectors on a globe representation.
groundTrack(orbit, time[, propagator, format])	Calculate satellite ground track on the outer product of all supplied times and state vectors or orbits.
groundTrackVideo(r, time)	param r: Position of orbiting object in meters.
ground_track_plot(r, t[, ground_stations, ...])	param r:
koe_hist_2d(stable_data[, title, limits, ...])	Create a 2D histogram plot for various Keplerian orbital elements of stable cislunar orbits.
koe_plot(r, v[, t, elements, save_path, body])	Plot Keplerian orbital elements over time for a given trajectory.
lagrange_points_lunar_frame()	Calculate the positions of the lunar Lagrange points in the lunar frame, This frame is defined by the coordinate transformation in utils.py gcrf_to_lunar().
load_earth_file()	Loads and resizes an image of the Earth.
load_moon_file()	Loads and resizes an image of the Moon.
orbit_divergence_plot(rs[, r_moon, t, ...])	Plot multiple cislunar orbits in the GCRF frame with respect to the Earth and Moon.
orbit_plot(r[, t, title, figsize, ...])	Plots the trajectory of one or more orbits in various views and coordinate frames.
save_animated_gif(gif_name, frames[, fps])	Create a GIF from a sequence of image frames.
save_plot(figure, save_path[, dpi])	Save a Python figure as a PNG/JPG/PDF/ect.
save_plot_to_pdf(figure, pdf_path)	Save a Matplotlib figure to a PDF file, with support for merging with existing PDFs.
scatter_2d(x, y, cs[, xlabel, ylabel, ...])	Create a 2D scatter plot with optional color mapping.
scatter_3d(x[, y, z, cs, xlabel, ylabel, ...])	Create a 3D scatter plot with optional color mapping.
scatter_dot_colors_scaled(num_colors)	Generates a scaled array of colors using the rainbow colormap.
set_color_theme(fig, *axes, theme)	Set the color theme of the figure and axes to white or black and the text color to white or black.