orbitronomy 0.3.2

The Orbitronomy library is designed to simplify the process of plotting, calculating, visualizing, and animating the orbits of celestial bodies in 3D space. It employs Kepler's elliptical orbit equations and Keplerian Elements, in conjunction with PyAstronomy, to perform precise orbital calculations. For 3D plotting, it integrates the capabilities of Matplotlib, enhancing its utility in astronomical simulations and analyses.

Official Orbitronomy Library

The Orbitronomy library is designed to simplify the process of plotting, calculating, visualizing, and animating the orbits of celestial bodies in 3D space. It employs Kepler's elliptical orbit equations and Keplerian Elements, in conjunction with PyAstronomy, to perform precise orbital calculations. For 3D plotting, it integrates the capabilities of Matplotlib, enhancing its utility in astronomical simulations and analyses.

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 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 import DatasetOrbit

test = DatasetOrbit(plot_title="Test", name="Earth", fps=30)

# Styling
test.faceColor("#F3EEEA")
test.paneColor("#F3EEEA")
test.gridColor("#222831")
test.orbitTransparency(0.5)
test.labelColor("white")
test.tickColor("white")

test.datasetPlotStyle(background_color="dark_background")

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

# Set columns in the dataset
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")

test.sunSize(1000)
test.planetSize(100)

# Enable inclination observation plot with red color
test.inclinationPlot(color="red")

# Calculate and plot orbits
test.datasetCalculateOrbit(plot_steps=1000, n_orbits=12, color="yellow", 
                            random_color=True, trajectory=True, sun=True,
                            delimiter=";")

# Set plot limits and labels
test.xLim([40, 40])
test.yLim([40, 40])
test.zLim([0.1, 0.1])

test.xLabel("X-Axis")
test.yLabel("Y-Axis")
test.zLabel("Z-Axis")

# Create and display the animation
test.datasetAnimateOrbit(dpi=250, save=False, export_zoom=3, font_size="xx-small", animation_interval=40)

Orbitronomy with Relative Parent and Child Orbits

The ParentChildOrbit class extends the capabilities of the SimpleOrbit class, allowing for the use of plotting objects (child) relative to another (parent) element

Usage Example:

from orbitronomy import RelativeOrbit

test = RelativeOrbit(plot_title="Test", name="Earth", fps=30)

#styling
test.faceColor("#F3EEEA")
test.paneColor("#F3EEEA")
test.gridColor("black")
test.labelColor("#F3EEEA")
test.tickColor("#F3EEEA")

#orbit transparency for object and orbit respectively
test.orbitTransparencyParentObject(0.5)
test.orbitTransparencyChildObject(0.5)

#parent object colors for object and orbit respectively
test.colorParentObjectOrbit(["blue", "blue"])

#child object colors for object and orbit respectively
test.colorChildObjectOrbit(["red", "red"])

# plot style (has to be run after all styling is done)
test.plotStyle(background_color="dark_background")


# parent object keplerian elements
test.semiMajorAxisParentObject(1)
test.perihelionParentObject(0.983289891)
test.eccentricityParentObject(0.01671123)
test.inclinationParentObject(0)
test.longitudeOfAscendingNodeParentObject(0)
test.argumentOfPerihelionParentObject(0)

# child object keplerian elements
test.semiMajorAxisChildObject(0.4)
test.perihelionChildObject(0.45)
test.eccentricityChildObject(0.1)
test.inclinationChildObject(10)
test.longitudeOfAscendingNodeChildObject(0)
test.argumentOfPerihelionChildObject(0)


test.sunSize(100)

# parent object size
test.parentObjectSize(100)

# child object size
test.childObjectSize(100)

# calculateOrbit takes the following arguments + some other ones in documentation
test.calculateOrbit(plot_steps=1000, n_orbits_child=4,
                    # color="blue",
                    n_orbits_parent=1,
                    trajectory=True, sun=True, child_trajectory=True)


# you can choose if you want to set boundaries for the plot
# test.xLim([20, 20])
# test.yLim([20, 20])
# test.zLim([1, 1])

# you can choose if you want to set labels for the plot
test.xLabel("X-Axis")
test.yLabel("Y-Axis")
test.zLabel("Z-Axis")


test.animateOrbit(dpi=250, save=False, export_zoom=3, export_folder="results", font_size="xx-small", animation_interval=10)