spe2py is a module that imports a Princeton Instruments LightField (SPE 3.x) file into a python environment.
Use the load()
function to load one or more SPE files at a time:
>>> import spe2py as spe
>>> loaded_files = spe.load()
A file selection window will open to allow browsing for source files. The result is an individual SpeFile object, or, in the case where multiple files are loaded at once, a list of SpeFile objects.
Raw data from a file is stored in NumPy arrays and can be accessed directly by
>>> frame_data = loaded_files.data[frame][regionOfInterest]
>>> frame_data = loaded_files[n].data[frame][regionOfInterest] # where multiple files are loaded
Alternatively one can load an individual file by passing SpeFile()
the source path directly:
file_object = spe.SpeFile(path)
# is equivalent to...
file_object = spe.load() # and selecting the same file/path
To quickly view an individual frame, region-of-interest, or spectrum, use the image()
or specplot()
methods. For example,
>>> loaded_file.image() # images the first frame and region of interest
>>> loaded_file.image(f, r) # images frame 'f' and region of interest 'r'
>>> loaded_file.specplot() # plots the loaded spectrum
Upon loading, the metadata contained in the file's XML footer is automatically parsed and stored as an untangle
object in the footer
variable. Elements and attributes can be accessed by calling the different elements and subelements of footer, ending with the attribute as a string:
>>> sensor_height = loaded_file.footer.SpeFormat.Calibrations.SensorInformation['height']
One can print the full element tree by calling the xmltree()
method.
- NumPy - data storage and file reading
- tkinter - file selection dialog
- matplotlib - imaging and plotting
- untangle - XML parsing
1.0.0a - initial upload
MIT