orbitronomy 0.1.2

The Orbitronomy library offers the functionality for plotting, calculating, visualizing, and animating the orbits of various celestial bodies in 3D space. It utilizes Kepler's elliptical orbit equations along with PyAstronomy for orbital calculations, and Matplotlib for 3D plotting.

Official Orbitronomy Library

The Orbitronomy library offers the functionality for plotting, calculating, visualizing, and animating the orbits of various celestial bodies in 3D space. It utilizes Kepler's elliptical orbit equations along with PyAstronomy for orbital calculations, and Matplotlib for 3D plotting.

SimpleOrbit Class

The SimpleOrbit class provides the capability of simulating single object orbits, and multiple object orbits in the format of a list within list.

Constructor

SimpleOrbit(plot_title, name)

Parameters:

• plot_title: Title for the plot.
• name: Identifier for the celestial body.

Methods

• faceColor(color): Sets the face color of the axes.
• paneColor(color): Sets the color of the 3D panes.
• gridColor(color): Sets the grid color.
• orbitTransparency(value): Sets the transparency of the orbits.
• labelColor(color): Sets the color of axis labels.
• tickColor(color): Sets the color of axis ticks.
• plotStyle(background_color): Sets the background style of the plot.
• semiMajorAxis(value), perihelion(value), eccentricity(value), inclination(value), longitudeOfAscendingNode(value), argumentOfPerihelion(value): Set specific orbital parameters.

Usage Example:

from orbitronomy.orbitCalcs import SimpleOrbit

test = SimpleOrbit(plot_title="Test", name="Earth")

# Styling
test.faceColor("black")
test.paneColor("black")
test.gridColor("#222831")
test.orbitTransparency(0.5)
test.labelColor("white")
test.tickColor("white")

test.plotStyle(background_color="dark_background")

# the form of the "data" list should be as follows: 
# "name", semi_major_axis, perihelion, eccentricity, inclination, longitude_of_ascending_node, argument_of_perihelion, color (optional)
data = [["object1", 1, 0.983289891, 0.01671123, 15, 0, 0, "green"], ["object2", 1.5, 0.483289891, 0.02671123, 6, 0, 0, "yellow"], ["object3", 1.3, 0.683289891, 0.01671123, 2, 0, 0, "red"]]

#you can also use the following instead of "data" array if you want to plot a single object
# test.semiMajorAxis(1)
# test.perihelion(0.983289891)
# test.eccentricity(0.01671123)
# test.inclination(0)
# test.longitudeOfAscendingNode(0)
# test.argumentOfPerihelion(0)

# Calculating and plotting orbits
test.calculateOrbit(plot_steps=1000, n_orbits=1, data=data, trajectory=True, sun=True)

#you can choose if you want to set boundaries for the plot
# test.xLim([20, 20])
# test.yLim([20, 20])
# test.zLim([0.1, 0.1])

# Setting axis labels
test.xLabel("X-Axis")
test.yLabel("Y-Axis")
test.zLabel("Z-Axis")

# Animating the orbits
test.animateOrbit(dpi=250, save=False, export_zoom=3, font_size="xx-small", export_folder="results")

Orbitronomy Library with Dataset Functionality

The Orbitronomy library is enhanced with functionality to calculate, visualize, plot, and animate orbits of celestial bodies in 3D using datasets. It utilizes Kepler's elliptical orbit equations, PyAstronomy for orbital calculations, and Matplotlib for 3D plotting.

datasetOrbit Class

The datasetOrbit class extends the capabilities of the SimpleOrbit class, allowing for the use of datasets to plot multiple celestial bodies.

Constructor

datasetOrbit(plot_title, name)

Parameters:

• plot_title: Title for the plot.
• name: Identifier for the celestial body or simulation.

Styling Methods

• faceColor(color)
• paneColor(color)
• gridColor(color)
• orbitTransparency(value)
• labelColor(color)
• tickColor(color)
• datasetPlotStyle(background_color)

Dataset Configuration

• columnSemiMajorAxis(column_name)
• columnPerihelion(column_name)
• columnEccentricity(column_name)
• columnInclination(column_name)
• columnLongitudeOfAscendingNode(column_name)
• columnArgumentOfPerihelion(column_name)
• columnColor(column_name)
• columnName(column_name)
• fileName(file_name)

Orbit Calculation and Animation

• datasetCalculateOrbit(plot_steps, n_orbits, color, trajectory, sun, random_color)
• xLim(lim), yLim(lim), zLim(lim)
• xLabel(label), yLabel(label), zLabel(label)
• datasetAnimateOrbit(dpi, save, export_zoom, font_size, export_folder)

Usage Example:

from orbitronomy.datasetOrbit import datasetOrbit

test = datasetOrbit(plot_title="Test", name="Earth")

# Styling
test.faceColor("black")
test.paneColor("black")
test.gridColor("#222831")
test.orbitTransparency(0.5)
test.labelColor("white")
test.tickColor("white")

test.datasetPlotStyle(background_color="dark_background")

# Dataset column configuration
test.columnSemiMajorAxis("semi_major_axis")
test.columnPerihelion("perihelion")
test.columnEccentricity("eccentricity")
test.columnInclination("inclination")
test.columnLongitudeOfAscendingNode("longitude_of_ascending_node")
test.columnArgumentOfPerihelion("argument_of_perihelion")
test.columnColor("color")
test.columnName("name")

# Specifying the dataset file name
test.fileName("datasets/Planetary-Satellite-Data.csv")

# Calculating and plotting orbits from the dataset
test.datasetCalculateOrbit(plot_steps=1000, n_orbits=12, color="yellow", random_color=True, trajectory=True, sun=True)

#you can choose if you want to set boundaries for the plot
# test.xLim([20, 20])
# test.yLim([20, 20])
# test.zLim([0.1, 0.1])

# Setting axis labels
test.xLabel("X-Axis")
test.yLabel("Y-Axis")
test.zLabel("Z-Axis")

# Animating the orbits
test.datasetAnimateOrbit(dpi=250, save=False, export_zoom=3, font_size="xx-small")