Various io, FITS file-handling, conversion, etc. tools for astronomical analysis work.

Time and unit conversions, often just wrapping astropy functions in a format I can better remember.

Modules for handling directories.

• make_timestamp_dir will create a directory that is "time-stamped" to the current time as YYYY.MM.DD.

Modules for handling FITS files. Many of these can be not only imported, but also executed on the command line.

# To move FITS files based on a header key value: >>> python fetch_fits_by_keyvalue.py '<keyvalue>' '<keyword>' '<fits type>' '<orig_dir/>' '<dest_dir/>' # To print the key value of a given keyword, 'filter', for example: >>> python get_keyval.py --f 'example.fits' --kw 'filter' # To print out the HST dataset name of all FITS files in a directory: >>> python get_datasetname.py # To sort your FITS files by a keyword, so that they will be stored in directories named for that keyword: >>> python sort_fits_by_keyword.py '<keyword>' 

Miss IDL's readcol and writecol? Try io.readcol and io.writecol.
You can set the line number (not counting blank lines) that a header begins and the data begins. For funzies, I wrote nosetests in the "tests" directory for these functions.

Some plotting and analysis scripts for the JIF and JIT engineering FITS files for the HST/WFC3 instrument.

Statistics is probably too dignified of a word for what's in here. For taking means, clipping, errors, and such.

Ready to burn astropy.table? In tables.bybass_table find the functions

• decompose_table, which will take an astropy.table.Table and convert it to a collections.OrderedDict.

• build_table, which takes columns and column names and creates an astropy.table.Table because I can never remember the astropy syntax (and that "names" is really "colnames", ugh).

• antitable, which is actually a decorator wrapping decompose_table. For any function returning an astropy.table.Table, use the dectorator to convert it to a collections.OrderedDict. For funzies.

 @antitable out = function_creating_table(args) # "out" is now an OrderedDict 

Playing with np.where, looking for ways to wrap it to be more IDL-like.