#
# data_f = (row for row in data2 if row.gender == 'Female')
# sorted_data_m = sorted(data_m, key=group_key)
# groups_m = itertools.groupby(sorted_data_m, key=group_key)
def filter_key(cutoff_date, gender, row):
return row.last_updated >= cutoff_date and row.gender == gender
cutoff_date = datetime.datetime(2017, 3, 1)
result_f = parse_utils.group_data(constants.fnames,
constants.class_names,
constants.parsers,
constants.compress_fields,
filter_key=partial(filter_key, cutoff_date,
'Female'),
group_key=lambda row: row.vehicle_make)
result_m = parse_utils.group_data(constants.fnames,
constants.class_names,
constants.parsers,
constants.compress_fields,
filter_key=partial(filter_key, cutoff_date,
'Male'),
group_key=lambda row: row.vehicle_make)
for row in result_f:
print(row)
import constants
from parse_utils import group_data
from datetime import datetime
def group_key(item):
return item.vehicle_make
cutoff_date = datetime(2017, 3, 1)
for gender in ('Female', 'Male'):
group = group_data(constants.fnames,
constants.class_names,
constants.parsers,
constants.compress_fields,
cutoff_date,
group_key,
gender)
print(f'***** {gender} *****')
print(group[0:5], end='\n\n')
from functools import partial
from datetime import datetime
import constants
from parse_utils import group_data
def group_key(row):
return row.vehicle_make
def filter_key(cutoff_date, gender, row):
return row.last_updated >= cutoff_date and row.gender == gender
cutoff_date = datetime(2017, 3, 1)
for gender in ('Female', 'Male'):
results = group_data(constants.fnames,
constants.class_names,
constants.parsers,
constants.compress_fields,
filter_key=partial(filter_key, cutoff_date, gender),
group_key=lambda row: row.vehicle_make)
print(f'***************** {gender} *****************')
print(list(results))
# group_f_counts = ((g[0], len(list(g[1]))) for g in groups_f)
# print('group_f')
# for row in group_f_counts:
# print(row)
cutoff_date = datetime(2017, 3, 1)
def filter_key(cutoff_date, gender, row):
return row.last_updated >= cutoff_date and row.gender == gender
results_f = parse_utils.group_data(arguments.fnames,
arguments.class_names,
arguments.parsers,
arguments.compress_fields,
filter_key=partial(filter_key, cutoff_date,
'Female'),
group_key=lambda row: row.vehicle_make)
results_m = parse_utils.group_data(
arguments.fnames,
arguments.class_names,
arguments.parsers,
arguments.compress_fields,
filter_key=lambda row: filter_key(cutoff_date, 'Male', row),
group_key=lambda row: row.vehicle_make)
print('results_f')
for row in results_f:
print(row)
print()
