0ec801fd087ff1d049344af4270a8b0220571ced,skbio/maths/gradient.py,,make_groups,#Any#Any#Any#Any#,36

Before Change

    
    
    // Getting the index of the columns in the mapping file
    ind_group = mapping[0].index(vector_category)
    ind_sort = mapping[0].index(sort_category) if sort_category else 0
    // Creating groups
    groups = {}
    for row in mapping[1:]:

After Change

    

    // Creating groups
    groups = defaultdict([])

    // If sort_category is provided, we used the value of such category to sort
    // otherwise we use the sample id
    if sort_category:
        sort_f = lambda sid: metamap.get_category_value(sid, sort_category)
    else:
        sort_f = lambda sid: sid

    // Loop through all the sample ids present on the mapping file
    for sid in metamap.sample_ids:
        if sid not in ord_res.site_ids:
            continue
        // Get the group for the current sample
        g = metamap.get_category_value(sid, vector_category)
        // Add the current sample to the group
        groups[g].append((sort_f(sid), sid))

    // Sort the groups
    for g in groups:
        groups[g] = signed_natsort(groups[g])

    return groups

Instances