<jupyter_start><jupyter_text>`ApJdataFrames` Hernandez2014---`Title`: A SPECTROSCOPIC CENSUS IN YOUNG STELLAR REGIONS: THE σ ORIONIS CLUSTER  `Authors`: <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, and <NAME>  Data is from this paper:  http://iopscience.iop.org/0004-637X/794/1/36/article<jupyter_code>%pylab inline

import seaborn as sns
sns.set_context("notebook", font_scale=1.5)

import warnings
warnings.filterwarnings("ignore")
from astropy.io import ascii<jupyter_output><empty_output><jupyter_text>Table 4 -  Low Resolution Analysis<jupyter_code>tbl4 = ascii.read("http://iopscience.iop.org/0004-637X/794/1/36/suppdata/apj500669t4_mrt.txt")
tbl4[0:4]
Na_mask = ((tbl4["f_EWNaI"] == "Y") | (tbl4["f_EWNaI"] == "N"))
print "There are {} sources with Na I line detections out of {} sources in the catalog".format(Na_mask.sum(), len(tbl4))
tbl4_late = tbl4[['Name', '2MASS', 'SpType', 'e_SpType','EWHa', 'f_EWHa', 'EWNaI', 'e_EWNaI', 'f_EWNaI']][Na_mask]
tbl4_late.pprint(max_lines=100, )<jupyter_output>Name        2MASS       SpType e_SpType  EWHa  f_EWHa EWNaI  e_EWNaI f_EWNaI
                                         0.1 nm        0.1 nm  0.1 nm        
------ ----------------- ------ -------- ------ ------ ------ ------- -------
 SO576  05383302-0239279   M2.0      1.5    0.0     --   2.37    0.22       N
 SO444  05381824-0248143   M3.0      0.5   -3.8   nAcr   0.83    0.08       Y
 SO220  05375220-0233379   M3.0      0.5   -3.9   nAcr   0.92    0.08       Y
SO1219  05394799-0240320   M3.0      0.5   -2.8   nAcr    0.9    0.07       Y
 SO804  05385543-0241297   M3.0      0.5    0.5   nAcr   1.96    0.09       N
 SO374  05380994-0251377   M3.0      0.5  -22.3    Acr   1.04    0.09       Y
 SO117  05373666-0234003   M3.0      0.5   -4.3   nAcr   1.06     0.1       Y
 SO525  05382774-0243009   M3.0      1.0   -5.8   nAcr   1.35    0.09       Y
  SO60  05372831-0224182   M3.0      1.0   -3.5   nAcr   1.37     0.1       Y
  SO27  05372306-0232465   M3.0      1.0   -4.4   nAcr   1.47   [...]
StarcoderdataJupyterStructuredCleanDedup