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Running the Example.ipynb returns an error at input [7], attempting to call two files that are not in the repository. (I know you're still in the midst of overhauling, but I figured I'd leave this here just in case it slipped by you.)
/opt/anaconda3/lib/python3.6/site-packages/numpy/lib/_datasource.py in open(self, path, mode, encoding, newline)
615 else:
--> 616 raise IOError("%s not found." % path)
617
OSError: /Users/hosborn/Postdoc/K2/Namaste_2/namaste/KeplerLDlaws.txt not found.
During handling of the above exception, another exception occurred:
OSError Traceback (most recent call last)
in ()
1 #We need to use Teff and Logg information to initialise Limb Darkening (default: Kepler)
----> 2 st.initLD()
~/Namaste/namaste/namaste.py in initLD(self)
475 def initLD(self):
476 if not hasattr(self,'LD1s'):
--> 477 self.EstLimbDark()
478 #Getting LD parameters for transit modelling:
479 self.LDprior={'LD1':[0,1.0,'gaussian',np.median(self.LD1s),np.std(self.LD1s)],
~/Namaste/namaste/namaste.py in getKeplerLDs(Ts, logg, FeH, how)
1428 arr = np.genfromtxt("/Users/hosborn/Postdoc/K2/Namaste_2/namaste/KeplerLDlaws.txt",skip_header=2)
1429 except:
-> 1430 arr = np.genfromtxt("/home/hosborn/Namaste/Namaste_2/namaste/KeplerLDlaws.txt",skip_header=2)
1431 FeHarr=np.unique(arr[:, 2])
1432 #Just using a single value of FeH
Ah yes, that was a stupid mistake by me hard-coding a position on my machine. Thanks for calling it out, I have edited that now, so it ooints to the LDlaws file in the namaste folder.
Ah yes, that was a stupid mistake by me hard-coding a position on my machine. Thanks for calling it out, I have edited that now, so it ooints to the LDlaws file in the namaste folder.
It still threw an error for me, but it worked when I changed the paths in namaste.py to call "namaste/KeplerLDlaws.txt".
Hello,
Running the Example.ipynb returns an error at input [7], attempting to call two files that are not in the repository. (I know you're still in the midst of overhauling, but I figured I'd leave this here just in case it slipped by you.)
Full error message below.
Emily
OSError Traceback (most recent call last)
~/Namaste/namaste/namaste.py in getKeplerLDs(Ts, logg, FeH, how)
1427 try:
-> 1428 arr = np.genfromtxt("/Users/hosborn/Postdoc/K2/Namaste_2/namaste/KeplerLDlaws.txt",skip_header=2)
1429 except:
/opt/anaconda3/lib/python3.6/site-packages/numpy/lib/npyio.py in genfromtxt(fname, dtype, comments, delimiter, skip_header, skip_footer, converters, missing_values, filling_values, usecols, names, excludelist, deletechars, replace_space, autostrip, case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise, max_rows, encoding)
1688 if isinstance(fname, basestring):
-> 1689 fhd = iter(np.lib._datasource.open(fname, 'rt', encoding=encoding))
1690 own_fhd = True
/opt/anaconda3/lib/python3.6/site-packages/numpy/lib/_datasource.py in open(path, mode, destpath, encoding, newline)
259 ds = DataSource(destpath)
--> 260 return ds.open(path, mode, encoding=encoding, newline=newline)
261
/opt/anaconda3/lib/python3.6/site-packages/numpy/lib/_datasource.py in open(self, path, mode, encoding, newline)
615 else:
--> 616 raise IOError("%s not found." % path)
617
OSError: /Users/hosborn/Postdoc/K2/Namaste_2/namaste/KeplerLDlaws.txt not found.
During handling of the above exception, another exception occurred:
OSError Traceback (most recent call last)
in ()
1 #We need to use Teff and Logg information to initialise Limb Darkening (default: Kepler)
----> 2 st.initLD()
~/Namaste/namaste/namaste.py in initLD(self)
475 def initLD(self):
476 if not hasattr(self,'LD1s'):
--> 477 self.EstLimbDark()
478 #Getting LD parameters for transit modelling:
479 self.LDprior={'LD1':[0,1.0,'gaussian',np.median(self.LD1s),np.std(self.LD1s)],
~/Namaste/namaste/namaste.py in EstLimbDark(self)
235 else:
236 #assume mission==Kepler
--> 237 LDs=getKeplerLDs(self.steffs,logg=self.sloggs,FeH=self.sfeh)
238
239 pctns=np.percentile(LDs[0],[15.865525393145707, 50.0, 84.13447460685429])
~/Namaste/namaste/namaste.py in getKeplerLDs(Ts, logg, FeH, how)
1428 arr = np.genfromtxt("/Users/hosborn/Postdoc/K2/Namaste_2/namaste/KeplerLDlaws.txt",skip_header=2)
1429 except:
-> 1430 arr = np.genfromtxt("/home/hosborn/Namaste/Namaste_2/namaste/KeplerLDlaws.txt",skip_header=2)
1431 FeHarr=np.unique(arr[:, 2])
1432 #Just using a single value of FeH
/opt/anaconda3/lib/python3.6/site-packages/numpy/lib/npyio.py in genfromtxt(fname, dtype, comments, delimiter, skip_header, skip_footer, converters, missing_values, filling_values, usecols, names, excludelist, deletechars, replace_space, autostrip, case_sensitive, defaultfmt, unpack, usemask, loose, invalid_raise, max_rows, encoding)
1687 fname = str(fname)
1688 if isinstance(fname, basestring):
-> 1689 fhd = iter(np.lib._datasource.open(fname, 'rt', encoding=encoding))
1690 own_fhd = True
1691 else:
/opt/anaconda3/lib/python3.6/site-packages/numpy/lib/_datasource.py in open(path, mode, destpath, encoding, newline)
258
259 ds = DataSource(destpath)
--> 260 return ds.open(path, mode, encoding=encoding, newline=newline)
261
262
/opt/anaconda3/lib/python3.6/site-packages/numpy/lib/_datasource.py in open(self, path, mode, encoding, newline)
614 encoding=encoding, newline=newline)
615 else:
--> 616 raise IOError("%s not found." % path)
617
618
OSError: /home/hosborn/Namaste/Namaste_2/namaste/KeplerLDlaws.txt not found.
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