Tool for processing and visualizing exoplanet data.
Project description
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"
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