|
| 1 | +""" |
| 2 | +=============================================== |
| 3 | +How to create an GWCS from quantities and times |
| 4 | +=============================================== |
| 5 | +
|
| 6 | +This example shows how to create a GWCS from astropy quantities. |
| 7 | +""" |
| 8 | +import numpy as np |
| 9 | +from matplotlib import pyplot as plt |
| 10 | + |
| 11 | +import astropy.units as u |
| 12 | +from astropy.time import Time |
| 13 | + |
| 14 | +from ndcube import NDCube |
| 15 | +from ndcube.extra_coords import QuantityTableCoordinate, TimeTableCoordinate |
| 16 | + |
| 17 | +############################################################################## |
| 18 | +# We aim to create coordinates that are focused around time and energies using astropy quantities. |
| 19 | + |
| 20 | +energy = np.arange(10) * u.keV |
| 21 | +time = Time('2020-01-01 00:00:00') + np.arange(9)*u.s |
| 22 | + |
| 23 | +############################################################################## |
| 24 | +# Then, we need to turn these into lookup tables using |
| 25 | +# `~ndcube.extra_coords.table_coord.QuantityTableCoordinate` and |
| 26 | +# `~ndcube.extra_coords.table_coord.TimeTableCoordinate` to create table coordinates. |
| 27 | + |
| 28 | +energy_coord = QuantityTableCoordinate(energy, names='energy', physical_types='em.energy') |
| 29 | +print(energy_coord) |
| 30 | + |
| 31 | +time_coord = TimeTableCoordinate(time, names='time', physical_types='time') |
| 32 | +print(time_coord) |
| 33 | + |
| 34 | +############################################################################## |
| 35 | +# Now we need to combine table coordinates created above and extract the ``.wcs`` from the result. |
| 36 | + |
| 37 | +wcs = (time_coord & energy_coord).wcs |
| 38 | +print(wcs) |
| 39 | + |
| 40 | +############################################################################## |
| 41 | +# Now, we have all the pieces required to construct a `~ndcube.NDCube` with this data and the GWCS we just created. |
| 42 | + |
| 43 | +data = np.random.rand(len(time), len(energy)) |
| 44 | +cube = NDCube(data=data, wcs=wcs) |
| 45 | +print(cube) |
| 46 | + |
| 47 | +############################################################################## |
| 48 | +# Finally, we will plot the cube. |
| 49 | + |
| 50 | +cube.plot() |
| 51 | + |
| 52 | +plt.show() |
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