E TypeError: Invalid shape (32, 1, 256) for image data

[texadactyl]

hyperseti/plotting.py:

def _imshow(data, metadata, xaxis, yaxis, show_labels=True, show_colorbar=True, *args, **kwargs)

plt.imshow(cp.asnumpy(data), aspect='auto',
          extent=_get_extent(data, metadata, xaxis, yaxis), *args, **kwargs)

I caused this when I converted data to be 3-dimensional. We need a new "grab_data" with a beam-selection parameter.

[texadactyl]

All 3 shape error messages from pytest:

FAILED test/test_hyperseti.py::test_dedoppler_boxcar - TypeError: Invalid shape (32, 1, 256) for image data FAILED test/test_hyperseti.py::test_hitsearch - TypeError: Invalid shape (32, 1, 4096) for image data FAILED test/test_hyperseti.py::test_hitsearch_multi - TypeError: Invalid shape (32, 1, 4096) for image data

[texadactyl]

@telegraphic Some design decisions are needed about data grabbing.

• One polarisation array at a time (makes sense to me)?
• Subset by frequency boundaries?
• Subset by time integration boundaries?

Need a standard central function for setting up metadata called by from_fil, from_h5, future?

Please do not be in a hurry. Decisions have long-lasting effects on everyone and we are on opposite sides of the world.

[texadactyl]

No longer present.