exoanalyzer 0.11

Tool for processing and visualizing exoplanet data.

ExoAnalyzer

Provides tools to analyze data and graph from the NASA exoplanet archive.

Provides functions to graph various quantitative data about exoplanets. See example code below for examples on how to use. List of data options coming soon.

Installation

Stable release:

pip install exoanalyzer

Beta test versions:

pip install --index-url https://test.pypi.org/simple/ --no-deps exoanalyzer-fellis

Example Code

import exoanalyzer

data = exoanalyzer.data.query(query_columns = [
    "pl_name",
    "hostname",
    "pl_orbper",
    "pl_orbsmax",
    "pl_orbeccen",
    "pl_bmasse",
    "st_met",
    "st_teff",
    "st_metratio",
    "st_mass"]) 
exoanalyzer.plot_dual(data, 'pl_orbsmax', 'pl_bmasse', use_log10 = True)
exoanalyzer.plot_system_average(data, "st_met", "pl_bmasse", use_log10_main=False, use_log10_avg=True)
exoanalyzer.plot_ratio_to_greatest(data, "pl_bmasse", use_log10=True)

exoanalyzer.plot_pl_categories(data, 'pl_orbsmax', {
    "<1 AU": lambda a: a < 1,
    ">1 AU": lambda b: b > 1
})

pairs = exoanalyzer.util.get_system_pairs(data)
exoanalyzer.plot_pair_ratio(pairs, 'pl_orbeccen', use_log10 = False, max_deviations = 3)

exoanalyzer.plot_pair_comparison(pairs, 'pl_bmasse', {
    "Massive Inner": lambda a, b: a/b > 1,
    "Massive Outer": lambda a, b: a/b < 1
})

Versions

0.0.18

Added:

exoanalyzer.plot_system_average(data, main_label, avg_label, **kwargs)
    data: array
        raw data from .data.query()
    main_label: str
        data label to graph on the x-axis
    avg_label: str
        data label to graph on the y-axis (average of all planets in system)
    
    **kwargs
    use_log10_main: bool
        use log10 form for main label (x axis) (good for large values)
    use_log10_avg: bool
        use log10 form for avg label (y axis) (good for large values)
    file_path: str
        path to save the file to. defaults to './graphs/'
    file_name: str
        name of file to save. defaults to "Graph_of_{x_label}_and_{y_label}.png"

exoanalyzer.plot_ratio_to_greatest(data, label, **kwargs)
    data: array
        raw data from .data.query()
    label: str
        data label to graph. x-axis is percentage, y is greatest.
    
    **kwargs
    use_log10: bool
        use log10 form on y axis (good for large values)
    file_path: str
        path to save the file to. defaults to './graphs/'
    file_name: str
        name of file to save. defaults to "Graph_of_{x_label}_and_{y_label}.png"

0.0.17

Added:

exoanalyzer.util.get_label_list()
> returns:
    list: A list of all possible data categories for obtainable exoplanet data.

0.0.14: New feature

Added:

exoanalyzer.plot_dual(data, x_label, y_label, **kwargs)
    data: array
        raw data from .data.query()
    x_label: str
        data label to graph on the x-axis
    y_label: str
        data label to graph on the y-axis
    
    **kwargs
    use_log10: bool
        use log10 form (good for large values)
    file_path: str
        path to save the file to. defaults to './graphs/'
    file_name: str
        name of file to save. defaults to "Graph_of_{x_label}_and_{y_label}.png"

Changed:

exoanalyzer.plot_pair_comparison -> exoanalyzer.plot_pair_ratio

0.0.13: Initial stable release.

exoanalyzer.plot_pair_comparison(pair_data, plotLabel, **kwargs)
    pair_data: array
        data from .util.get_system_pairs(data)
    plotLabel: str
        data label to graph
    
    **kwargs
    use_log10: bool
        use log10 form (good for large values)
    max_deviations: int
        outlier removal. values cannot deviate from the mean by more than std*this number.
    file_path: str
        path to save the file to. defaults to './graphs/'
    file_name: str
        name of file to save. defaults to "Graph_of_{plotLabel}.png"