def test_pol_plot():
ds = TimeResSpec(wl, t, data)
ds = ds.bin_freqs(50)
ds = PolTRSpec(para=ds, perp=ds)
ds = ds.bin_freqs(50)
ds.plot.trans([550])
ds.plot.spec([2, 10])
ds.plot.trans([550], norm=1)
ds.plot.trans([550], norm=1, marker='o')
def test_pol_plot():
ds = TimeResSpec(wl, t, data)
ds = ds.bin_freqs(50)
ds = PolTRSpec(para=ds, perp=ds)
ds = ds.bin_freqs(50)
ds.plot.trans([550])
ds.plot.spec([2, 10])
ds.plot.trans([550], norm=1)
ds.plot.trans([550], norm=1, marker='o')
def test_plot():
ds = TimeResSpec(wl, t, data)
ds = ds.bin_freqs(50)
ds.trans([550])
ds.spec([2, 10])
ds.trans([550], norm=1)
ds.trans([550], norm=1, marker='o')
ds.plot.map(plot_con=0)
ds.plot.svd()
def test_plot():
ds = TimeResSpec(wl, t, data)
ds = ds.bin_freqs(50)
ds.plot.trans([550])
ds.plot.spec([2, 10])
ds.plot.trans([550], norm=1)
ds.plot.trans([550], norm=1, marker='o')
ds.plot.map(plot_con=0)
ds.plot.svd()
def test_plot():
ds = TimeResSpec(wl, t, data)
ds = ds.bin_freqs(50)
ds.plot.trans([550])
ds.plot.spec([2, 10])
ds.plot.trans_integrals((1e7 / 550, 1e7 / 600))
ds.plot.trans_integrals((1e7 / 600, 1e7 / 500))
ds.plot.trans([550], norm=1)
ds.plot.trans([550], norm=1, marker='o')
ds.plot.map(plot_con=0)
ds.plot.svd()
def test_methods():
ds = TimeResSpec(wl, t, data)
bds = ds.bin_freqs(300)
ds2 = TimeResSpec(1e7 / wl, t, data, freq_unit='cm', disp_freq_unit='cm')
bds2 = ds2.bin_freqs(50)
assert (np.all(np.isfinite(bds2.data)))
assert (len(bds.wavelengths) == 300)
nds = ds.cut_freq(400, 600)
assert (np.all(nds.wavelengths > 600))
nds = ds.cut_time(-100, 1)
assert (np.all(nds.t > .99))
nds = ds.bin_times(5)
assert (nds.t.size == np.ceil(ds.t.size / 5))
ds.mask_freqs([(400, 600)])
assert (np.all(ds.data.mask[:, ds.wl_idx(550)]))
ds2 = ds.scale_and_shift(2, t_shift=1, wl_shift=10)
assert_almost_equal(2 * ds.data, ds2.data)
assert_almost_equal(ds.t + 1, ds2.t)
assert_almost_equal(ds.wavelengths + 10, ds2.wavelengths)
assert_almost_equal(1e7 / ds2.wavelengths, ds2.wavenumbers)
def test_methods():
ds = TimeResSpec(wl, t, data)
bds = ds.bin_freqs(300)
assert (len(bds.wavelengths) == 300)
nds = ds.cut_freqs([(400, 600)])
assert (np.all(nds.wavelengths > 600))
nds = ds.cut_times([(-100, 1)])
assert (np.all(nds.t > .99))
nds = ds.bin_times(5)
assert (nds.t.size == np.ceil(ds.t.size / 5))
ds.mask_freqs([(400, 600)])
assert (np.all(ds.data.mask[:, ds.wl_idx(550)]))
def test_methods():
ds = TimeResSpec(wl, t, data)
bds = ds.bin_freqs(300)
assert(len(bds.wavelengths) == 300)
nds = ds.cut_freqs([(400, 600)])
assert(np.all(nds.wavelengths > 600))
nds = ds.cut_times([(-100, 1)])
assert(np.all(nds.t > .99))
nds = ds.bin_times(5)
assert(nds.t.size == np.ceil(ds.t.size/5))
ds.mask_freqs([(400, 600)])
assert(np.all(ds.data.mask[:, ds.wl_idx(550)]))
def test_concat():
ds = TimeResSpec(wl, t, data)
ds = ds.bin_freqs(50)
n = ds.wavelengths.size // 2
ds1 = ds.cut_freq(ds.wavelengths[n], np.inf)
ds2 = ds.cut_freq(-np.inf, ds.wavelengths[n])
dsc = ds1.concat_datasets(ds2)
assert (np.allclose(dsc.data, ds.data))
pol_ds = PolTRSpec(ds, ds)
a = PolTRSpec(ds1, ds1)
b = PolTRSpec(ds2, ds2)
pol_dsc = a.concat_datasets(b)
for p in 'para', 'perp', 'iso':
assert (np.allclose(getattr(pol_dsc, p).data, getattr(pol_ds, p).data))