I hereby claim:
- I am benjaminrose on github.
- I am brose (https://keybase.io/brose) on keybase.
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Benjamin Rose benjaminrose
benjaminrose
/ subsample.py
Created
December 12, 2024 19:50
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| import numpy as np | |
| import pandas as pd | |
| select = { | |
| "SN_Ia": 300, | |
| "CCSN": 160, | |
| "SN_Iax": 10, | |
| # "SLSN-I": 5, | |
| # "TDE": 5, | |
| # "ILOT": 5, |
benjaminrose
/ keybase.md
Created
August 9, 2016 15:45
benjaminrose
/ sep.mask_ellipse vs matplotlib ellipse.ipynb
Created
June 15, 2016 19:31
An example of how to use `sep.mask_ellipse` with `matplotlib.patches.Ellipse`.
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benjaminrose
/ Understanding seps ellipical scaling.ipynb
Last active
May 23, 2016 14:21
This was a notebook I made trying to understand `sep` and `Source Extractor`'s scaling of elliptical parameters.
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benjaminrose
/ Numpy_Stack.ipynb
Last active
August 29, 2015 14:26
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benjaminrose
/ Cumulative distribution function.ipynb
Last active
December 16, 2015 14:08
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benjaminrose
/ Understanding_pcolormesh.ipynb
Created
July 24, 2015 16:17
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benjaminrose
/ save_data.py
Last active
June 2, 2021 23:24
This is an useful example of how I like to save my data using numpy and savetxt.
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| import numpy as np | |
| #create random data | |
| data1 = np.random.rand(10) | |
| data2 = np.random.rand(10) | |
| data3 = np.random.rand(10) | |
| #stack data into one ojbect | |
| data_list = np.dstack((data1, data2, data3)) |
benjaminrose
/ ApJ-template.tex
Last active
August 29, 2015 14:25
A templates for my latex documents
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| % \documentclass[apj, iop]{emulateapj} | |
| % use for a preview of the final version | |
| \documentclass[manuscript]{aastex} | |
| %[manuscript] = defualt, and how you submit | |
| %[preprint] = one-column, single-spaced document | |
| %[preprint2] = double-column, single-spaced document | |
| \usepackage{graphicx}% Include figure files | |
| \usepackage{color}%for preprints | |
| \usepackage{hyperref} |
benjaminrose
/ AllSky.py
Created
February 19, 2015 19:51
An example of using all sky projections in matplotlib.pyplot.
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| import matplotlib.pyplot as plt | |
| import numpy as np #casue it rocks | |
| # get random values to plot | |
| #needs to be in radians from (-pi,pi) & (-pi/2, pi/2) | |
| a = np.random.rand(100)*2*np.pi - np.pi | |
| d = np.random.rand(100)*np.pi - np.pi/2 | |
| #todo(make values astropy.cooridnates and use wrap_at(180*u.degree). Allows for more varriable data. | |
| #make figure |
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