0.3.1

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Fixed:

• starmap into img_calibration rather than just map which gives
  correct alignment between the inputs and expected arguments

0.3.0

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Added:

• Quantity of interest support

Changed:

• tth reported in degrees
• Run release before conda forge so we use the self generated tarballs

Fixed:

• Don't break API with generate_binner

0.2.0

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Added:

• pipelines.extra module which holds extra nodes (zscore, median, etc)

• numba compiled zscore for faster zscore computation

Changed:

• removed zscore, median, and std from the base pipeline

• use map rather than for loop for zscore

Removed:

• xpd_raw_pipeline module

0.1.9

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Changed:

• Merged xpd and standard pipelines into one pipeline

• Exposed the mask, fq, and pdf kwargs to the user better.
  Now the kwarg dicts are from the nodes and can be updated.

Deprecated:

• xpd pipeline (it is now in the standard pipeline)

Fixed:

• iq_comp now is combined via a combine_latest rather than a zip

0.1.8

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

0.1.7

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Changed:

• Zscore is now turned into float16 before saving to reduce size on disk

Fixed:

• Command line interface destroys sinks so it shouldn't blow up memory

• generate_binner now has max q of the max q

0.1.6

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Added:

• Quickstart to Readme.md

Changed:

• Save z score as .tif file

• binned_outlier now uses input mask (if any) to remove pixels before
  running the binned outlier algorithm.

Fixed:

• All integrated values are processed with np.nan_to_num before output.

0.1.5

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Added:

• Kwarg for flipping the input mask (may be needed for fit2d masks)

Removed:

• Docs for beamstop mask

Fixed:

• Polarization works properly

• Multi image works properly

• Code health badge

• Docs for mask_img alpha

0.1.4

Fixed:

• removed relative import from CLI

0.1.3

License:

By downloading and using this software you agree to the license here:
https://github.com/xpdAcq/xpdtools/blob/master/LICENSE

Download and Installation:

The package is available on Anaconda

If you are using Anaconda, make sure you are pulling from channel conda-forge
Install the package (If you are using a conda environment make sure to
activate it first):

conda install xpdtools -c conda-forge

If you do not use conda (and we recommend you do) you may download and build
the sources from the links below. Unpack the sources, then in the base
directory type

python setup.py install

Changelog:

Added:

• Test of the CLI (to make sure it writes out files now)

• Tests of many (although not all) of the tools.

• Added support for scikit-beam=0.0.12 which lacks som cached data

Changed:

• Readme now reflects the conda package

• Travis now has a display