def __init__(self):
sname_to_pos_file = MDATA_ROOT + 'HA Submissions-Grid view.csv'
self.ha_names_to_pos = {
tkns[0]: (tkns[8], tkns[14])
for tkns in parse_csv(sname_to_pos_file, assert_len=15)
if len(tkns[14]) == 3
}
assert len(self.ha_names_to_pos) > 0
def __init__(self):
self.conv_tbl = {
tkns[5]: (tkns[0], (tkns[1], tkns[2]))
for tkns in parse_csv(MDATA_ROOT +
'PN1_GCSD17/Conversion Tables-Table 1.csv')
}
self.mdata_tbl = {
tkns[0]: [
('city', 'London'),
('setting', tkns[31]),
('project', 'CSD17'),
('latitude', tkns[26]),
('longitude', tkns[27]),
('surface_material', tkns[37]),
('surface', tkns[33]),
('elevation', tkns[32]),
]
for tkns in parse_csv(MDATA_ROOT +
'PN1_GCSD17/Metadata-Table 1.csv')
}
def __init__(self):
self.bc_to_meta = {}
for tkns in parse_csv(MDATA_ROOT + 'cleaned_simplified_metadata.csv'):
try:
bc = tkns[1]
mdata = [tkns[0]] + tkns[2:]
# baltimore,235161834,other,handrail,urban,under_ground,,39.289523,-76.613904
mdata = {
'city': mdata[0],
'surface_material': mdata[1],
'surface': mdata[2],
'setting': mdata[3],
'elevation': mdata[4],
'traffic': mdata[5],
'latitude': mdata[6],
'longitude': mdata[7],
}
self.bc_to_meta[bc] = mdata
except IndexError:
pass
assert len(self.bc_to_meta) > 0
def __init__(self):
self.data = list(parse_csv("%s/world_bank/%s" % (project_path(), "hdi.csv"), ",", "'"))
self.header = map(self.__normalize__, self.data[0])
self.country_data = {}
self.country_rank = {}
def __init__(self):
pos_to_bc_file = MDATA_ROOT + 'CSD2017_DAVID.csv'
self.pos_to_bc = {(tkns[2], tkns[3]): tkns[4]
for tkns in parse_csv(pos_to_bc_file)}
assert len(self.pos_to_bc) > 0
def __init__(self):
self.tbl = {
tkns[2]: tkns[3]
for tkns in parse_csv(MDATA_ROOT + 'filenames_HCY5HCCXY.tsv',
sep='\t')
}