def parse_siblings(
dir_data='/Users/josephrobinson//Dropbox/Families_In_The_Wild/Database/FIDs/',
f_mids='mid.csv'):
"""
Parse brother pairs by referencing member ID LUT and relationship matrix.
Siblings RID is 2 and brother, of course, are Males. Thus, these are the factors we use to identify pairs.
:param dir_data: Directory containing folders of FIDs (e.g., F0001/, ..., F????/).
:param f_rel_matrix:
:param f_mids:
:return:
"""
kind = 'siblings'
# family directories
dirs_fid, fid_list = load_fids(dir_data)
print("{} families are being processed".format(len(fid_list)))
# Load MID LUT for all FIDs.
df_mids = db.load_mids(dirs_fid, f_csv=f_mids)
# Load relationship matrices for all FIDs.
# df_relationships = load_relationship_matrices(dirs_fid, f_csv=f_rel_matrix)
siblings = []
for i, fid in enumerate(fid_list):
# ids = [i for i, s in enumerate(genders) if 'Male' in s]
rel_mat = db.parse_relationship_matrices(df_mids[i])
# rel_mat = np.array(df_relationships[i])
genders = list(df_mids[i].Gender)
# ids_not = [j for j, s in enumerate(genders) if 'Male' not in s]
# rel_mat[ids_not, :] = 0
# rel_mat[:, ids_not] = 0
sibling_ids = np.where(rel_mat == 2)
if not helpers.check_npairs(len(sibling_ids[1]), kind, fid):
continue
sib_ids = db.get_unique_pairs(sibling_ids)
# sib_ids = [(b1, b2) if b1 < b2 else (b2, b1) for b1, b2 in zip(list(sibling_ids[0]), list(sibling_ids[1]))]
# sib_id = list(set(sib_ids))
sibling_ids = list(set(sib_ids))
for ids in sib_ids:
# remove if brother or sister pair
if ('Male' in genders[ids[0]] and 'Male' in genders[ids[1]]) or \
('Female' in genders[ids[0]] and 'Female' in genders[ids[1]]):
print("Removing", ids)
sibling_ids.remove(ids)
for ids in enumerate(sibling_ids):
print(ids)
indices = list(np.array(ids[1]) + 1)
siblings.append(db.Pair(mids=indices, fid=fid, kind=kind))
del indices
return siblings
def parse_sisters(
dir_data='/Users/josephrobinson//Dropbox/Families_In_The_Wild/Database/FIDs/',
f_mids='mid.csv'):
"""
Parse sister pairs by referencing member ID LUT and relationship matrix.
Siblings RID is 2 and sister, of course, are Females. Thus, these are the factors we use to identify pairs.
:param dir_data: Directory containing folders of FIDs (e.g., F0001/, ..., F????/).
:param f_rel_matrix:
:param f_mids:
:return:
"""
# family directories
kind = 'sisters'
dirs_fid, fid_list = load_fids(dir_data)
print("{} families are being processed".format(len(fid_list)))
# Load MID LUT for all FIDs.
df_mids = db.load_mids(dirs_fid, f_csv=f_mids)
# # Load relationship matrices for all FIDs.
# df_relationships = load_relationship_matrices(dirs_fid, f_csv=f_rel_matrix)
sisters = []
for i, fid in enumerate(fid_list):
# ids = [i for i, s in enumerate(genders) if 'Male' in s]
rel_mat = db.parse_relationship_matrices(df_mids[i])
genders = list(df_mids[i].Gender)
# zero out female subjects
rel_mat = db.specify_gender(rel_mat, genders, 'Female')
sister_ids = np.where(rel_mat == 2)
if not helpers.check_npairs(len(sister_ids[1]), kind, fid):
continue
# add to list of brothers
sisters = db.set_pairs(sisters, sister_ids, kind, fid)
return sisters
def parse_grandparents(
dir_data='/Users/josephrobinson//Dropbox/Families_In_The_Wild/Database/FIDs/',
f_mids='mid.csv'):
"""
Parse sister pairs by referencing member ID LUT and relationship matrix.
Siblings RID is 2 and sister, of course, are Females. Thus, these are the factors we use to identify pairs.
:param dir_data: Directory containing folders of FIDs (e.g., F0001/, ..., F????/).
:param f_rel_matrix:
:param f_mids:
:return:
"""
# family directories
dirs_fid, fid_list = load_fids(dir_data)
print("{} families are being processed".format(len(fid_list)))
# Load MID LUT for all FIDs.
# Load MID LUT for all FIDs.
df_mids = db.load_mids(dirs_fid, f_csv=f_mids)
# Load relationship matrices for all FIDs.
# df_relationships = load_relationship_matrices(dirs_fid, f_csv=f_rel_matrix)
gfgd = []
gfgs = []
gmgd = []
gmgs = []
kind = 'parent-child'
for i, fid in enumerate(fid_list):
# ids = [i for i, s in enumerate(genders) if 'Male' in s]
rel_mat = db.parse_relationship_matrices(df_mids[i])
genders = list(df_mids[i].Gender)
# ids_not = [j for j, s in enumerate(genders) if 'Female' not in s]
# rel_mat[ids_not, :] = 0
# rel_mat[:, ids_not] = 0
# indices of matrix containing 4 or 1; that the matrix is inversed across the diagonal
# mat_ids = np.where(rel_mat == 1) and np.where(rel_mat.T == 1), np.where(rel_mat == 1) and np.where(
# rel_mat.T == 4)
c_ids = np.where(rel_mat == 3)
p_ids = np.where(rel_mat == 6)
if len(c_ids[0]) != len(p_ids[0]):
warn.warn("Number of children and parents are different.")
if not helpers.check_npairs(len(c_ids[0]), kind, fid):
continue
# ch_ids = [(p1, p2) for p1, p2 in zip(list(c_ids[0]), list(c_ids[1]))]
par_ids = [(p1, p2) for p1, p2 in zip(list(p_ids[0]), list(p_ids[1]))]
# ch_ids = list(set(ch_ids))
for p in par_ids:
print(p)
p_mid = list(np.array(p) + 1)[0]
c_mid = list(np.array(p) + 1)[1]
p_gender = genders[p_mid - 1]
c_gender = genders[c_mid - 1]
if 'Female' in p_gender:
# fathers
if 'Female' in c_gender:
# son
gfgs.append(
db.Pair(mids=(p_mid, c_mid), fid=fid, kind='gmgd'))
else:
# daughter
gfgd.append(
db.Pair(mids=(p_mid, c_mid), fid=fid, kind='gmgs'))
else:
# mothers
if 'Female' in c_gender:
gmgs.append(
db.Pair(mids=(p_mid, c_mid), fid=fid, kind='gfgd'))
else:
gmgd.append(
db.Pair(mids=(p_mid, c_mid), fid=fid, kind='gfgd'))
return gfgd, gfgs, gmgd, gmgs