diff options
Diffstat (limited to 'fg21sim')
| -rw-r--r-- | fg21sim/extragalactic/clusters/main.py | 19 |
1 files changed, 19 insertions, 0 deletions
diff --git a/fg21sim/extragalactic/clusters/main.py b/fg21sim/extragalactic/clusters/main.py index 849ac57..10222a7 100644 --- a/fg21sim/extragalactic/clusters/main.py +++ b/fg21sim/extragalactic/clusters/main.py @@ -17,6 +17,7 @@ References http://adsabs.harvard.edu/abs/2012A%26A...548A.100C """ +import os import logging import numpy as np @@ -27,6 +28,7 @@ from .formation import ClusterFormation from .halo import RadioHalo from ...share import CONFIGS, COSMO from ...utils.io import dataframe_to_csv, pickle_dump +from ...utils.ds import dictlist_to_dataframe from ...sky import get_sky @@ -230,6 +232,8 @@ class GalaxyClusters: ---------- halos : list[dict] Simulated data for each cluster with recent major merger. + halos_df : `~pandas.DataFrame` + The Pandas DataFrame converted from the above ``halos`` data. """ # Select out the clusters with recent major mergers idx_rmm = ~self.catalog["rmm_z"].isnull() @@ -269,6 +273,17 @@ class GalaxyClusters: } self.halos.append(data) logger.info("Simulated radio halos for merging cluster.") + # + logger.info("Converting halos data to be a Pandas DataFrame ...") + # Ignore the ``gamma`` and ``n_e`` items + keys = ["z0", "M0", "z_merger", "M_main", "M_sub", + "time_crossing", "radius", "angular_radius", + "B", "frequencies", "emissivity", "flux"] + self.halos_df = dictlist_to_dataframe(self.halos, keys=keys) + logger.info("Done halos data conversion.") + + def _draw_halos(self): + pass def preprocess(self): """ @@ -312,3 +327,7 @@ class GalaxyClusters: else: pickle_dump(self.halos, outfile=self.halos_dumpfile, clobber=self.clobber) + # Also save converted DataFrame of halos data + outfile = os.path.splitext(self.halos_dumpfile)[0] + ".csv" + dataframe_to_csv(self.halos_df, outfile, clobber=self.clobber) + logger.info("Saved DataFrame of halos data to file: %s" % outfile) |