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"""
:author: Pierre Gerard-Marchant & Matt Knox
:contact: pierregm_at_uga_dot_edu & mattknox_ca_at_hotmail_dot_com
:version: $Id: test_interpolate.py 2912 2007-04-12 20:11:53Z mattknox_ca $
"""
__author__ = "Pierre GF Gerard-Marchant & Matt Knox ($Author: mattknox_ca $)"
__version__ = '1.0'
__revision__ = "$Revision: 2912 $"
__date__ = '$Date: 2007-04-12 13:11:53 -0700 (Thu, 12 Apr 2007) $'
import numpy as N
import numpy.core.numeric as numeric
from numpy.testing import NumpyTest, NumpyTestCase
import maskedarray.testutils
from maskedarray.testutils import *
import maskedarray.core as coremodule
from maskedarray.core import MaskedArray, masked
from timeseries.lib.interpolate import backward_fill, forward_fill, interp_masked1d
class test_funcs(NumpyTestCase):
def __init__(self, *args, **kwds):
NumpyTestCase.__init__(self, *args, **kwds)
self.mask = [1,0,1,0,0,1,1,0,0,0]
self.data = numeric.arange(10)
self.test_array = masked_array(self.data, mask=self.mask)
def test_backward_fill (self):
result = masked_array(self.data, mask=self.mask)
result[0] = 1
result[2] = 3
assert_equal(backward_fill(self.test_array, maxgap=1), result)
result[5] = 7
result[6] = 7
assert_equal(backward_fill(self.test_array), result)
def test_forward_fill (self):
result = masked_array(self.data, mask=self.mask)
result[2] = 1
assert_equal(forward_fill(self.test_array, maxgap=1), result)
result[5] = 4
result[6] = 4
assert_equal(forward_fill(self.test_array), result)
def test_interp_fill(self):
result_lin = masked_array(self.data).astype(float_)
result_lin[0] = masked
approx(interp_masked1d(self.test_array.astype(float_), kind='linear'), result_lin)
###############################################################################
#------------------------------------------------------------------------------
if __name__ == "__main__":
NumpyTest().run()
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