#!/usr/bin/env python
# -*- coding: utf-8 -*-
# The MIT License (MIT)
# Copyright (c) 2017 Juan Cabral
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
# =============================================================================
# DOCS
# =============================================================================
"""IO code for read some macho lightcurves
The files are gathered from the original FATS project tutorial:
https://github.com/isadoranun/tsfeat
"""
# =============================================================================
# IMPORTS
# =============================================================================
import os
import tarfile
import numpy as np
from .base import Data
# =============================================================================
# CONSTANTS
# =============================================================================
PATH = os.path.abspath(os.path.dirname(__file__))
DATA_PATH = os.path.join(PATH, "data", "macho")
# =============================================================================
# FUNCTIONS
# =============================================================================
[docs]def available_MACHO_lc():
"""Retrieve a list with the available MACHO lightcurves
"""
return [fp.rsplit(".", 2)[0] for fp in os.listdir(DATA_PATH)]
[docs]def load_MACHO_example():
"""lightcurve of 2 bands (R, B) from the MACHO survey.
The Id of the source is 1.3444.614
Notes
-----
The files are gathered from the original FATS project tutorial:
https://github.com/isadoranun/tsfeat
"""
return load_MACHO("lc_1.3444.614")
[docs]def load_MACHO(macho_id):
"""lightcurve of 2 bands (R, B) from the MACHO survey.
Notes
-----
The files are gathered from the original FATS project tutorial:
https://github.com/isadoranun/tsfeat
"""
tarfname = "{}.tar.bz2".format(macho_id)
tarpath = os.path.join(DATA_PATH, tarfname)
rpath = "{}.R.mjd".format(macho_id)
bpath = "{}.B.mjd".format(macho_id)
with tarfile.open(tarpath, mode="r:bz2") as tf:
rlc = np.loadtxt(tf.extractfile(rpath))
blc = np.loadtxt(tf.extractfile(bpath))
bands = ("R", "B")
data = {
"R": {
"time": rlc[:, 0],
"magnitude": rlc[:, 1],
"error": rlc[:, 2]},
"B": {
"time": blc[:, 0],
"magnitude": blc[:, 1],
"error": blc[:, 2]}
}
descr = ("The files are gathered from the original FATS project "
"tutorial: https://github.com/isadoranun/tsfeat")
return Data(
id=macho_id, metadata=None, ds_name="MACHO",
description=descr, bands=bands, data=data)
