/usr/lib/python2.7/dist-packages/guiqwt/scaler.py is in python-guiqwt 3.0.3-2ubuntu1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | # -*- coding: utf-8 -*-
#
# Copyright © 2012 CEA
# Pierre Raybaut
# Licensed under the terms of the CECILL License
# (see guiqwt/__init__.py for details)
# pylint: disable=C0103
"""
guiqwt.scaler
-------------
The `scaler` module wraps features provided by the C++ scaler engine
(`_scaler` extension):
* :py:func:`guiqwt.scaler.resize`: resize an image using the scaler engine
Reference
~~~~~~~~~
.. autofunction:: resize
"""
#TODO: Move all _scaler imports in this module and do something to avoid
# the need to import INTERP_LINEAR, INTERP_AA, ... in all modules using the
# scaler (code refactoring between pyplot.imshow,
# styles.BaseImageParam.update_image)
#TODO: Other functions like resize could be written in the future
import numpy as np
from guiqwt._scaler import (_scale_rect, INTERP_NEAREST,
INTERP_LINEAR, INTERP_AA)
def resize(data, shape, interpolation=None):
"""Resize array *data* to *shape* (tuple)
interpolation: 'nearest', 'linear' (default), 'antialiasing'"""
interpolate = (INTERP_NEAREST,)
if interpolation is not None:
interp_dict = {'nearest': INTERP_NEAREST,
'linear': INTERP_LINEAR,
'antialiasing': INTERP_AA}
assert interpolation in interp_dict, "invalid interpolation option"
interp_mode = interp_dict[interpolation]
if interp_mode in (INTERP_NEAREST, INTERP_LINEAR):
interpolate = (interp_mode,)
if interp_mode == INTERP_AA:
aa = np.ones((5, 5), data.dtype)
interpolate = (interp_mode, aa)
out = np.empty(shape)
src_rect = (0, 0, data.shape[1], data.shape[0])
dst_rect = (0, 0, out.shape[1], out.shape[0])
_scale_rect(data, src_rect, out, dst_rect, (1., 0., None), interpolate)
return out
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