analysis_tools

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

convert

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

dir

Modules for handling directories.

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

fits

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 fetchfitsbykeyvalue.py '' '' '' '<origdir/>' ''

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 sortfitsby_keyword.py '' ```

io

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.

jitter

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

statistics

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

tables

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

where

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