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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:

def plot_all(*args, **kwargs):
    '''
    Read all the trial data and plot the result of applying a function on them.
    '''
    dfs = do_all(*args, **kwargs)
    ps = []
    for line in dfs:
        f, df, config = line
        df.plot(title=config['name'])
        ps.append(df)
    return ps