A Python notebook for summing and subtracting synchrotron diffraction pattern images, using the scikit-image package. The notebook can be used to sum together and average the intensity distribution from a series of synchrotron diffraction pattern images, to produce a single diffraction pattern image as a measurement of bulk crystallographic properties. Also includes a notebook for mapping a grid matrix of average and maximum intensity values recorded from individual diffraction pattern images. The package works with diffraction pattern image data in the form of .tif or .tiff images. If the data is in the form of .cbf images then the images can be converted to tiff format using a notebook from the pyFAI-integration-caking Python package. Contents It is recommended the user works through the examples in the notebooks in the following order: 1. `sxrd_tiff_summer.ipynb` - A notebook for summing and subtracting synchrotron diffraction pattern images. 2. `sxrd_tiff_mapper.ipynb` - A notebook for mapping a grid matrix of average and maximum intensity values recorded from individual diffraction pattern images. Note, the `example-data/` and `example-results/` folders contain data that can be used as an example analysis, but a clear external file structure should be setup to support the analysis of large synchrotron datasets. Installation Instructions for installing the Python libraries to run the notebooks can be found in the README.md file.