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Example: txm-2019-03-16-aps-32idc  xanespy-viewer -dl Ni_NCA hutchside.h5
ts353

import_frameset and XanesFrameset() both accept an hdf filename but use different parameter names. They should be consistent.

Not 100% sure how the the xanes_math.kedge_jump.mask is dealing with timesteps

Khagesh found that line 134 fails since you do not import any logging information. A quick way to solve this is just to import warnings and use warnings.warn

Xanespy
K edge mask fails with 222, 207 imaginary numbers

We're going to include a second way of making masks based on image constrast instead of spectroscopy data. We need to stardardize all the methods that use edge_filter to accept a string determining which approach should be used. Also docs need to be updated.

Use importer_tomopy_cli as a reference.

Solved by installing

sklearn==0.0

I'd like to be able to use data from the Full-field X-ray Imaging (FXI) beamline at Brookhaven Naitional Lab. I e-mailed Ming Ge to ask for some test data.

Using the O K-edge with some ptychography data produces masks that are inverted (maybe?) from what they should be (i.e. 1's mark active material instead of background). We need to review the various edge combinations to make sure they're at least all consistent.

Also, there should be a page in the docs about using masks.