%matplotlib inline
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
data = pd.read_table('data/dr1.sample', delimiter=',')
data.head()
| ra | dec | mag2 | |
|---|---|---|---|
| 0 | 332.202274 | -2.056767 | 17.12 |
| 1 | 332.471576 | -2.085015 | 18.10 |
| 2 | 332.368745 | -1.955771 | 16.64 |
| 3 | 332.206665 | -1.868653 | 17.19 |
| 4 | 332.348725 | -2.136096 | 16.21 |
data.ra
0 332.202274
1 332.471576
2 332.368745
3 332.206665
4 332.348725
5 332.444417
6 332.222379
7 332.351381
8 332.506374
9 332.244417
10 331.551234
11 331.768314
12 331.621652
13 331.772340
14 331.656890
15 331.753596
16 331.721996
17 331.645975
18 331.777682
19 331.755536
20 331.573480
21 331.829413
22 331.568160
23 331.854516
24 331.812125
25 331.730088
26 331.789860
27 331.764592
28 331.672794
29 331.698572
...
969 333.422293
970 333.780378
971 333.612375
972 333.578496
973 333.416844
974 333.516416
975 333.360288
976 333.105776
977 333.337832
978 333.367444
979 333.250518
980 333.140347
981 333.132170
982 332.824680
983 333.047730
984 332.794817
985 332.925200
986 333.022310
987 332.929870
988 333.052310
989 332.842742
990 332.937900
991 333.088170
992 332.975800
993 332.964376
994 332.904375
995 332.857210
996 332.891050
997 333.020110
998 333.113113
Name: ra, dtype: float64
from astropy import units as u
from astropy.coordinates import Angle
fig = plt.figure()
axes = fig.add_axes([0.1, 0.1, 0.8, 0.8]) # left, bottom, width, height (range 0 to 1)
axes.scatter(data['ra'], data['dec'], s = data['mag2'])
xticks = axes.get_xticks()
yticks = axes.get_yticks()
xt = ["$%.1f^{\circ}$"%n for n in xticks.tolist()]
yt = ["$%.1f^{\circ}$"%n for n in yticks.tolist()]
xt,yt
axes.set_xticklabels(xt)
axes.set_yticklabels(yt)
[<matplotlib.text.Text at 0x10d447198>, <matplotlib.text.Text at 0x10d44bc50>, <matplotlib.text.Text at 0x10d472a20>, <matplotlib.text.Text at 0x10d455048>, <matplotlib.text.Text at 0x10d4474a8>, <matplotlib.text.Text at 0x10d43dcc0>, <matplotlib.text.Text at 0x10d4ac748>, <matplotlib.text.Text at 0x10d4b20f0>, <matplotlib.text.Text at 0x10d4b2b00>]