Tried installing from here: https://github.com/Nikea/xray-vision (not available under conda package name in meta file). Tried installing dev branch of scikit-xray. Still no go.

Trying to fix this broken powder_calibration:
scikit-beam-examples/broken/powder_calibration/D_estimate_demo.ipynb

Are the example tif images corrupt?

This piece of code fails:
import pims
si_fname = 'Si_STD_d204-00002.tif'
pims.tiff_stack.TiffStack_tifffile(si_fname)

AttributeError Traceback (most recent call last)
in ()
----> 1 pims.tiff_stack.TiffStack_tifffile(si_fname)

/reg/neh/home3/yoon82/sklearn/lib/python2.7/site-packages/pims/tiff_stack.pyc in init(self, filename, process_func, dtype, as_grey)
112 as_grey=False):
113 self._filename = filename
--> 114 record = tifffile.TiffFile(filename).series[0]
115 if hasattr(record, 'pages'):
116 self._tiff = record.pages

AttributeError: 'NoneType' object has no attribute 'TiffFile'

I noticed that examples like this

https://github.com/scikit-beam/scikit-beam-examples/blob/master/demos/time_correlation/one-time-correlation.py

import from skxray instead of skbeam

The data Duke_data.zip used in the notebook "XPCS fitting with lmfit" is not anymore available for download. Could you please, provide us with the file either as before (.zip) or as .npy? Thank you very much in advance.

Yesterday I had the opinion that we should leave this called "Demos," but I have changed by mind. It might be better manners to name this something more specific the project -- scikit-xray-examples or xray-examples.

...for technical reasons that I do not understand. We are skipping the process_to_q test https://github.com/Nikea/scikit-xray/blob/master/skxray/tests/test_recip.py#L52 and we should probably sort out how to not skip that test

Reorganize the demos so that they are organized by scientific use case (1-time, calibration, etc.), not by demo type (script, vistrails, ipynb).

Such a reorganization has the advantage of being able to include a science-specific readme in these folders. See the dpc demo for a concrete version of what I mean.

The calibration demo uses a function 'bin_image_to_1D' that was removed in scikit-beam/scikit-beam#190. Also we need to sort out how are are going to do calibration. Perhaps pyFAI?