def test_fill_missing_dates(self):
"""Test fill_missing_dates function"""
_start = Date(freq='m', year=2005, month=1)
_end = Date(freq='m', year=2005, month=4)
#
dates = date_array([_start, _end], freq='M')
series = time_series([1, 2], dates)
filled_ser = fill_missing_dates(series)
#
assert_equal(filled_ser.start_date, _start)
assert_equal(filled_ser.end_date, _end)
assert(filled_ser.isfull())
assert(not filled_ser.has_duplicated_dates())
assert_equal(filled_ser.size, _end - _start + 1)
#
data = N.arange(5*24).reshape(5,24)
datelist = ['2007-07-01','2007-07-02','2007-07-03','2007-07-05','2007-07-06']
dates = date_array_fromlist(datelist, 'D')
dseries = time_series(data, dates)
ndates = date_array_fromrange(start_date=dates[0],end_date=dates[-2])
#
fseries = fill_missing_dates(dseries)
assert_equal(fseries.shape, (6,24))
assert_equal(fseries._mask[:,0], [0,0,0,1,0,0])
#
fseries = fill_missing_dates(dseries[:,0])
assert_equal(fseries.shape, (6,))
assert_equal(fseries._mask, [0,0,0,1,0,0])
#
series = time_series(data.ravel()[:4].reshape(2,2),dates=dates[:-1])
fseries = fill_missing_dates(series)
assert_equal(fseries.shape, (5,))
assert_equal(fseries._mask, [0,0,0,1,0,])
def test_fromlist (self):
"Base data definition."
(dlist, dates, data) = self.d
series = time_series(data, dlist)
assert(isinstance(series, TimeSeries))
assert_equal(series._mask, [1,0,0,0,0]*3)
assert_equal(series._series, data)
assert_equal(series._dates, date_array_fromlist(dlist))
assert_equal(series.freqstr, 'D')
def test_compressed(self):
"Tests compress"
dlist = ['2007-01-%02i' % i for i in range(1,16)]
dates = date_array_fromlist(dlist)
data = masked_array(numeric.arange(15), mask=[1,0,0,0,0]*3, dtype=float_)
series = time_series(data, dlist)
#
keeper = N.array([0,1,1,1,1]*3, dtype=bool_)
c_series = series.compressed()
assert_equal(c_series._data, [1,2,3,4,6,7,8,9,11,12,13,14])
assert_equal(c_series._mask, nomask)
assert_equal(c_series._dates, dates[keeper])
#
series_st = time_series(MA.column_stack((data,data[::-1])),
dates=dates)
c_series = series_st.compressed()
d = [1,2,3,6,7,8,11,12,13]
assert_equal(c_series._data, N.c_[(d,list(reversed(d)))])
assert_equal(c_series._mask, nomask)
assert_equal(c_series._dates, dates[d])
def test_concatenate(self):
"Tests concatenate"
dlist = ['2007-%02i' % i for i in range(1,6)]
dates = date_array_fromlist(dlist)
data = masked_array(numeric.arange(5), mask=[1,0,0,0,0], dtype=float_)
#
ser_1 = time_series(data, dates)
ser_2 = time_series(data, dates=dates+10)
newseries = concatenate_series(ser_1, ser_2)
assert_equal(newseries._data,[0,1,2,3,4,0,0,0,0,0,0,1,2,3,4])
assert_equal(newseries._mask,[1,0,0,0,0]+[1]*5+[1,0,0,0,0])
#
ser_1 = time_series(data, dates)
ser_2 = time_series(data, dates=dates+10)
newseries = concatenate_series(ser_1, ser_2, keep_gap=False)
assert_equal(newseries._data,[0,1,2,3,4,0,1,2,3,4])
assert_equal(newseries._mask,[1,0,0,0,0]+[1,0,0,0,0])
assert newseries.has_missing_dates()
#
ser_2 = time_series(data, dates=dates+3)
newseries = concatenate_series(ser_1, ser_2)
assert_equal(newseries._data,[0,1,2,0,1,2,3,4])
assert_equal(newseries._mask,[1,0,0,1,0,0,0,0])
def __init__(self, *args, **kwds):
NumpyTestCase.__init__(self, *args, **kwds)
dlist = ['2007-01-%02i' % i for i in range(1,16)]
dates = date_array_fromlist(dlist)
data = masked_array(numeric.arange(15), mask=[1,0,0,0,0]*3)
self.d = (dlist, dates, data)
def __init__(self, *args, **kwds):
NumpyTestCase.__init__(self, *args, **kwds)
dlist = ['2007-01-%02i' % i for i in range(1,16)]
dates = date_array_fromlist(dlist)
data = masked_array(numeric.arange(15), mask=[1,0,0,0,0]*3, dtype=float_)
self.d = (time_series(data, dlist), data, dates)