/usr/lib/python2.7/dist-packages/mpop/channel.py is in python-mpop 1.0.0-1.
This file is owned by root:root, with mode 0o644.
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# -*- coding: utf-8 -*-
# Copyright (c) 2010, 2011, 2012, 2013.
# SMHI,
# Folkborgsvägen 1,
# Norrköping,
# Sweden
# Author(s):
# Martin Raspaud <martin.raspaud@smhi.se>
# This file is part of mpop.
# mpop 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.
# mpop 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
# mpop. If not, see <http://www.gnu.org/licenses/>.
"""This module defines satellite instrument channels as a generic class, to be
inherited when needed.
"""
import copy
import numpy as np
from mpop.logger import LOG
class NotLoadedError(Exception):
"""Exception to be raised when attempting to use a non-loaded channel.
"""
pass
class GenericChannel(object):
"""This is an abstract channel class. It can be a super class for
calibrated channels data or more elaborate channels such as cloudtype or
CTTH.
"""
def __init__(self, name = None):
object.__init__(self)
# Channel name
if name is not None and not isinstance(name, str):
raise TypeError("Channel name must be a string, or None")
self.name = name
# Channel resolution, in meters.
self.resolution = None
# ID of the area on which the channel is defined.
self.area_id = None
# Area on which the channel is defined.
self.area_def = None
self.info = {}
def __cmp__(self, ch2):
if(isinstance(ch2, str)):
return cmp(self.name, ch2)
elif(ch2.name is not None and
self.name is not None and
ch2.name[0] == "_" and
self.name[0] != "_"):
return -1
elif(ch2.name is not None and
self.name is not None and
ch2.name[0] != "_" and
self.name[0] == "_"):
return 1
else:
return cmp(self.name, ch2.name)
def _get_area(self):
"""Getter for area.
"""
return self.area_def or self.area_id
def _set_area(self, area):
"""Setter for area.
"""
if (area is None):
self.area_def = None
self.area_id = None
elif(isinstance(area, str)):
self.area_id = area
else:
try:
dummy = area.area_extent
dummy = area.x_size
dummy = area.y_size
dummy = area.proj_id
dummy = area.proj_dict
self.area_def = area
except AttributeError:
try:
dummy = area.lons
dummy = area.lats
self.area_def = area
self.area_id = None
except AttributeError:
raise TypeError("Malformed area argument. "
"Should be a string or an area object.")
area = property(_get_area, _set_area)
class Channel(GenericChannel):
"""This is the satellite channel class. It defines satellite channels as a
container for calibrated channel data.
The *resolution* sets the resolution of the channel, in meters. The
*wavelength_range* is a triplet, containing the lowest-, center-, and
highest-wavelength values of the channel. *name* is simply the given name
of the channel, and *data* is the data it should hold.
"""
def __init__(self,
name=None,
resolution=0,
wavelength_range=[-np.inf, -np.inf, -np.inf],
data=None,
calibration_unit=None):
GenericChannel.__init__(self, name)
self._data = None
self.wavelength_range = None
if(name is None and
wavelength_range == [-np.inf, -np.inf, -np.inf]):
raise ValueError("Cannot define a channel with neither name "
"nor wavelength range.")
if not isinstance(resolution, (int, float)):
raise TypeError("Resolution must be an integer number of meters.")
self.resolution = resolution
if(not isinstance(wavelength_range, (tuple, list, set)) or
len(wavelength_range) != 3 or
not isinstance(wavelength_range[0], float) or
not isinstance(wavelength_range[1], float) or
not isinstance(wavelength_range[2], float)):
raise TypeError("Wavelength_range should be a triplet of floats.")
elif(not (wavelength_range[0] <= wavelength_range[1]) or
not (wavelength_range[1] <= wavelength_range[2])):
raise ValueError("Wavelength_range should be a sorted triplet.")
self.wavelength_range = list(wavelength_range)
self.unit = calibration_unit
self.data = data
def __cmp__(self, ch2, key = 0):
if(isinstance(ch2, str)):
return cmp(self.name, ch2)
elif(ch2.name is not None and
self.name is not None and
ch2.name[0] == "_" and
self.name[0] != "_"):
return -1
elif(ch2.name is not None and
self.name is not None and
ch2.name[0] != "_" and
self.name[0] == "_"):
return 1
else:
res = cmp(abs(self.wavelength_range[1] - key),
abs(ch2.wavelength_range[1] - key))
if res == 0:
return cmp(self.name, ch2.name)
else:
return res
def __str__(self):
if self.shape is not None:
return ("'%s: (%.3f,%.3f,%.3f)μm, shape %s, resolution %sm'"%
(self.name,
self.wavelength_range[0],
self.wavelength_range[1],
self.wavelength_range[2],
self.shape,
self.resolution))
else:
return ("'%s: (%.3f,%.3f,%.3f)μm, resolution %sm, not loaded'"%
(self.name,
self.wavelength_range[0],
self.wavelength_range[1],
self.wavelength_range[2],
self.resolution))
def is_loaded(self):
"""Tells if the channel contains loaded data.
"""
return self._data is not None
def check_range(self, min_range = 1.0):
"""Check that the data of the channels has a definition domain broader
than *min_range* and return the data, otherwise return zeros.
"""
if not self.is_loaded():
raise ValueError("Cannot check range of an non-loaded channel")
if not isinstance(min_range, (float, int)):
raise TypeError("Min_range must be a single number.")
if isinstance(self._data, np.ma.core.MaskedArray):
if self._data.mask.all():
return self._data
if((self._data.max() - self._data.min()) < min_range):
return np.ma.zeros(self.shape)
else:
return self._data
def show(self):
"""Display the channel as an image.
"""
if not self.is_loaded():
raise ValueError("Channel not loaded, cannot display.")
import Image as pil
data = ((self._data - self._data.min()) * 255.0 /
(self._data.max() - self._data.min()))
if isinstance(data, np.ma.core.MaskedArray):
img = pil.fromarray(np.array(data.filled(0), np.uint8))
else:
img = pil.fromarray(np.array(data, np.uint8))
img.show()
def as_image(self, stretched=True):
"""Return the channel as a :class:`mpop.imageo.geo_image.GeoImage`
object. The *stretched* argument set to False allows the data to remain
untouched (as opposed to crude stretched by default to obtain the same
output as :meth:`show`).
"""
from mpop.imageo.geo_image import GeoImage
img = GeoImage(self._data, self.area, None)
if stretched:
img.stretch("crude")
return img
def project(self, coverage_instance):
"""Make a projected copy of the current channel using the given
*coverage_instance*.
See also the :mod:`mpop.projector` module.
"""
res = Channel(name=self.name,
resolution=self.resolution,
wavelength_range=self.wavelength_range,
data=None,
calibration_unit=self.unit)
res.area = coverage_instance.out_area
if self.is_loaded():
LOG.info("Projecting channel %s (%fμm)..."
%(self.name, self.wavelength_range[1]))
data = coverage_instance.project_array(self._data)
res.data = data
return res
else:
raise NotLoadedError("Can't project, channel %s (%fμm) not loaded."
%(self.name, self.wavelength_range[1]))
def get_data(self):
"""Getter for channel data.
"""
return self._data
def set_data(self, data):
"""Setter for channel data.
"""
if data is None:
del self._data
self._data = None
elif isinstance(data, (np.ndarray, np.ma.core.MaskedArray)):
self._data = data
else:
raise TypeError("Data must be a numpy (masked) array.")
data = property(get_data, set_data)
@property
def shape(self):
"""Shape of the channel.
"""
if self.data is None:
return None
else:
return self.data.shape
# Arithmetic operations on channels.
def __pow__(self, other):
return Channel(name="new", data=self.data ** other)
def __rpow__(self, other):
return Channel(name="new", data=self.data ** other)
def __mul__(self, other):
return Channel(name="new", data=self.data * other)
def __rmul__(self, other):
return Channel(name="new", data=self.data * other)
def __add__(self, other):
return Channel(name="new", data=self.data + other)
def __radd__(self, other):
return Channel(name="new", data=self.data + other)
def __sub__(self, other):
return Channel(name="new", data=self.data - other)
def __rsub__(self, other):
return Channel(name="new", data=self.data - other)
def __div__(self, other):
return Channel(name="new", data=self.data / other)
def __rdiv__(self, other):
return Channel(name="new", data=self.data / other)
def __neg__(self):
return Channel(name="new", data=-self.data)
def __abs__(self):
return Channel(name="new", data=abs(self.data))
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