# SEEK is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# SEEK is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with SEEK. If not, see <http://www.gnu.org/licenses/>.
'''
Created on Feb 26, 2016
author: jakeret
'''
from __future__ import print_function, division, absolute_import, unicode_literals
import numpy as np
[docs]def get_mapped_values(data, ctx):
"""
Maps the data by removing outliers and then computing the median per pixel.
Follows http://stackoverflow.com/a/16562028/4067032
:param data: data in the restructured form after create_maps.py
:param ctx: context
:return: median and sum of all the un-masked data in each healpix pixel
"""
filtered = filter_data(data)
return np.ma.median(filtered, axis=1), np.sum(~filtered.mask, axis=1)
[docs]def filter_data(data):
"""
remove outliers in data array.
:param data: data in the restructured form after create_maps.py
:return: data with outlier removed
"""
m=2
d = np.abs(data - np.ma.median(data, axis=1)[:, np.newaxis])
mdev = np.ma.median(d, axis=1)[:, np.newaxis]
s = d/mdev
filtered = np.ma.array(data, mask=[s>m])
return filtered