def test_interpolate():
dm = DataMatrix(length=3)
dm.s = SeriesColumn(depth=4)
dm.s = 1, 2, 3, 4
dm.s[0] = np.nan
dm.s[1, 0] = np.nan
dm.s[1, 2] = np.nan
dm.i = series.interpolate(dm.s)
check_series(dm.i, [[np.nan] * 4, [2, 2, 3, 4], [1, 2, 3, 4]])
def check_mixedcolumn_typing(): dm = DataMatrix(length=4) dm.i = 1, '1', 2, '2' ok_(all(isinstance(v, int) for v in dm.i)) dm.f = 1.1, '1.1', 2.1, '2.2' ok_(all(isinstance(v, float) for v in dm.f)) dm.inf = INF, -INF, 'inf', '-inf' ok_(all(math.isinf(v) for v in dm.inf)) dm.nan = NAN, NAN, 'nan', 'nan' ok_(all(math.isnan(v) for v in dm.nan)) dm.none = None, None, None, None ok_(all(v is None for v in dm.none)) dm.s = 'alpha', 'beta', 'None', '' ok_(all(isinstance(v, str) for v in dm.s)) @raises(TypeError) def _(): dm.err = Exception, tuple, str, map _()