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Parsing the numerical output from Sensovation SensoSpot image analysis.
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added pytest-random-order for testing 		4 years ago
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sensospot_data removed the 'silent' feature from parse_file 4 years ago
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README.md

Sensospot Data Parser

Parsing the numerical output from Sensovation Sensospot image analysis.

Example:


    import sensospot_data

    # read the raw data of a folder
    raw_data = sensospot_data.process_folder(<path to results directory>)

    # split the measurement according to channels
    channels = sensospot_data.split_channels(raw_data [, optional_exposure_map])

    # normalize one channel to a specific exposure time
    cy5_normalized = sensospot_data.normalize_channel(channels["cy5"], normalized_time=25)

Development

To install the development version of Sensovation Data Parser:

git clone https://git.cpi.imtek.uni-freiburg.de/holgi/sensospot_data.git

# create a virtual environment and install all required dev dependencies
cd sensospot_data
make devenv

To run the tests, use make tests (failing on first error) or make coverage for a complete report.