Created
February 19, 2015 19:51
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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 | |
fig = plt.figure() | |
ax = fig.add_subplot(111, projection='hammer' ) # or mollweide, aitoff, or lambert. [example](http://matplotlib.org/examples/pylab_examples/geo_demo.html) | |
ax.scatter(a,d, marker='*', color='y') | |
ax.grid(True) | |
ax.set_xticklabels(['14h','16h','18h','20h','22h','0h','2h','4h','6h','8h','10h']) #use if you want to change to a better version of RA. | |
plt.xlabel('RA') | |
plt.ylabel(r'$\delta$') | |
plt.show() | |
fig.savefig('allsky.pdf') |
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You can see the output file here.