xenial (1) pymcaroitool.1.gz

NAME

       pymcaroitool - PyMca region-of-interest imaging X application

SYNOPSIS

       pymcaroitool [OPTIONS]... [FILE(S)]

DESCRIPTION

       Start  the  graphical  user  interface of the PyMca X-Ray Fluorescence Toolkit region-of-interest imaging
       tool.

       This tool is best suited for handling datasets that  can  be  represented  by  three-dimensional  arrays.
       Typical  cases  are  stacks  of  images  (first dimension is image number) or 2D maps of 1D spectra (last
       dimension is spectrum channel number).

       It allows one to display maps of particular regions of the spectra or spectra of a particular  region  of
       the map.

       A  system of plugins allow to extend the capabilities of this tool. Plugins for multivariate analysis are
       already built in.

       If FILE is given, it will be opened in the program provided its format is supported.

EXAMPLES

       pymcaroitool

       Start the program with a file browser to select the input files.

       pymcaroitool file_0001.edf

       Tries to open the file named file_0001.edf and all indexed files of the form file_????.edf where ????  is
       a number.

       pymcaroitool --imagestack=1 file_0001.edf

       Tries  to open the file named file_0001.edf and all indexed files of the form file_????.edf where ???? is
       a number as a set of images.

       pymcaroitool uncompressed_tiff_file_0001.tif

       Tries to open a series of uncompressed TIFF files as an image stack.

       pymcaroitool --begin=100 --end=200 --filepattern=file_%05d.edf

       Start the program loading the single indexed files from file_00100.edf to file_00200.edf

       pymcaroitool --begin=10,100 --end=20,200 --filepattern=row%d_col%03d.dat

       Load the double indexed  files  from  row10_col100.dat,  row10_col101.dat,  ...   to  row20_col00199.dat,
       row20_col00200.dat

CAVEATS

       If  files  f_000.xxx and f_001.xxx are present in the same directory, the program will always try to load
       both of them unless a cumbersome way using a file pattern is used.

SEE ALSO

       HDF5, h5py