benjaminrose

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benjaminrose

benjaminrose

benjaminrose

benjaminrose

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benjaminrose

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

% \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

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

benjaminrose

'this still needs better testing, espcially to work with numpy'
'needs to work with degrees and radians'

def convert(x):
	'x is a list, would like it to work with numpy'
	ind = x>180
	for i,j in enumerate(ind):
		if j:
			l[i]-=360
	return x