<gh_stars>10-100
import matplotlib.pyplot as plt
import numpy as np


def main():
    # todo: load the "results.csv" file from the mia-results directory
    # todo: read the data into a list
    # todo: plot the Dice coefficients per label (i.e. white matter, gray matter, hippocampus, amygdala, thalamus)
    #  in a boxplot

    # alternative: instead of manually loading/reading the csv file you could also use the pandas package
    # but you will need to install it first ('pip install pandas') and import it to this file ('import pandas as pd')
    pass  # pass is just a placeholder if there is no other code


if __name__ == '__main__':
    main()

import matplotlib.pyplot as plt
import numpy as np


def main():
    # todo: load the "results.csv" file from the mia-results directory
    # todo: read the data into a list
    # todo: plot the Dice coefficients per label (i.e. white matter, gray matter, hippocampus, amygdala, thalamus)
    #  in a boxplot

    # alternative: instead of manually loading/reading the csv file you could also use the pandas package
    # but you will need to install it first ('pip install pandas') and import it to this file ('import pandas as pd')
    pass  # pass is just a placeholder if there is no other code


if __name__ == '__main__':
    main()
# todo: load the "results.csv" file from the mia-results directory # todo: read the data into a list # todo: plot the Dice coefficients per label (i.e. white matter, gray matter, hippocampus, amygdala, thalamus) #  in a boxplot # alternative: instead of manually loading/reading the csv file you could also use the pandas package # but you will need to install it first ('pip install pandas') and import it to this file ('import pandas as pd') # pass is just a placeholder if there is no other code