diff options
Diffstat (limited to 'fg21sim/extragalactic/clusters')
| -rw-r--r-- | fg21sim/extragalactic/clusters/main.py | 54 |
1 files changed, 26 insertions, 28 deletions
diff --git a/fg21sim/extragalactic/clusters/main.py b/fg21sim/extragalactic/clusters/main.py index 9add37b..da3190e 100644 --- a/fg21sim/extragalactic/clusters/main.py +++ b/fg21sim/extragalactic/clusters/main.py @@ -392,32 +392,41 @@ class GalaxyClusters: hdict["template"] = template logger.info("Done drawn halo template images.") - def _save_halos_catalog(self, outfile=None): """ - Convert the halos data (``self.halos``) into a Pandas DataFrame - and write into a CSV file. + def _save_halos_data(self, outfile=None, dump=None, clobber=None): + """ + Save the simulated halo data (``self.halos``) by converting it + into a Pandas DataFrame and writing into a CSV file. + + If ``dump=True``, then the raw data (``self.halos``) is dumped + into a Python pickle file, making it possible to be loaded back + to quickly calculate the emissions at additional frequencies. """ if outfile is None: outfile = self.halos_catalog_outfile + if dump is None: + dump = self.dump_halos_data + if clobber is None: + clobber = self.clobber - logger.info("Converting halos data to be a Pandas DataFrame ...") + if self.use_dump_halos_data and os.path.exists(outfile): + os.rename(outfile, outfile+".old") + + logger.info("Converting halos data into a Pandas DataFrame ...") keys = list(self.halos[0].keys()) - # Ignore the ``gamma`` and ``n_e`` items + # Ignore these items: gamma, n_e, template for k in ["gamma", "n_e", "template"]: keys.remove(k) halos_df = dictlist_to_dataframe(self.halos, keys=keys) - dataframe_to_csv(halos_df, outfile, clobber=self.clobber) - logger.info("Saved DataFrame of halos data to file: %s" % outfile) + dataframe_to_csv(halos_df, outfile, clobber=clobber) + logger.info("Saved halos data to CSV file: %s" % outfile) - def _dump_halos_data(self, outfile=None): - """ - Dump the simulated halos data into Python native pickle format, - making it possible to load the data back to quickly calculate - the emissions at additional frequencies. - """ - if outfile is None: - outfile = self.halos_data_dumpfile - pickle_dump(self.halos, outfile=outfile, clobber=self.clobber) + if dump: + outfile = os.path.splitext(outfile)[0] + ".pkl" + if self.use_dump_halos_data and os.path.exists(outfile): + os.rename(outfile, outfile+".old") + pickle_dump(self.halos, outfile=outfile, clobber=clobber) + logger.info("Dumped halos raw data to file: %s" % outfile) def _outfilepath(self, frequency, **kwargs): """ @@ -552,15 +561,4 @@ class GalaxyClusters: # Save the simulated halos catalog and raw data logger.info("Saving the simulated halos catalog and raw data ...") - if self.use_dump_halos_data: - filepath = self.halos_catalog_outfile - os.rename(filepath, filepath+".old") - logger.warning("Backed up halos catalog: %s -> %s" % - (filepath, filepath+".old")) - filepath = self.halos_data_dumpfile - os.rename(filepath, filepath+".old") - logger.warning("Backed up halos data dump file: %s -> %s" % - (filepath, filepath+".old")) - self._save_halos_catalog() - if self.dump_halos_data: - self._dump_halos_data() + self._save_halos_data() |