this is for holding javascript data
Alex Dvornikov added begin_verbatim_def_extract_lists_for__.tex
over 8 years ago
Commit id: 5221c43c8489d3a8140fc87c1cc752a249198ef4
deletions | additions
diff --git a/begin_verbatim_def_extract_lists_for__.tex b/begin_verbatim_def_extract_lists_for__.tex
new file mode 100644
index 0000000..689fbee
--- /dev/null
+++ b/begin_verbatim_def_extract_lists_for__.tex
...
\begin{verbatim}
def extract_lists():
for i, fname in enumerate(fnames):
hdu = pyfits.open(fname)
header = hdu[0].header
if header['IMAGETYP'] == 'Bias' or header['IMAGETYP'] == 'bias':
biaslist.append('pro_'+header['IRAFNAME'])
if (header['IMAGETYP'] == 'Twilight' or header['IMAGETYP'] == 'twilight') and header['FILTER'] == 'R_JOHN':
flatlist_r.append('pro_'+header['IRAFNAME'])
if (header['IMAGETYP'] == 'Twilight' or header['IMAGETYP'] == 'twilight') and header['FILTER'] == 'H_alpha':
flatlist_h_al.append('pro_'+header['IRAFNAME'])
if (header['IMAGETYP'] == 'Other' or header['IMAGETYP'] == 'other') and header['FILTER'] == 'H_alpha':
flatlist_h_al.append('pro_'+header['IRAFNAME'])
return
\end{verbatim}
