index = 0
for time in range(env.MAX_TIME_COUNT()):
for area in range(env.MAX_AREA_COUNT()):
people_dataframe.loc[index, ['time', 'area']] = [[3600 * (time + 1), area]]
index += 1
return people_dataframe
def main(args):
df_read = pd.read_csv(get_read_path() + env.get_file_name(args),
encoding='Shift_JISx0213',
dtype=None,
delimiter=',')
start = time.time()
output = distribute_people(df_base.copy(), df_read)
output.to_csv(get_write_path() + env.get_file_name(args),
index=False)
print(env.get_file_name(args))
elapsed_time = time.time() - start
print("elapsed_time:{0}".format(elapsed_time) + "[sec]")
if __name__ == '__main__':
df_base = create_people_dataframe()
env.for_default(main, ['mobile', 'census'])
# メッシュ番号が-1以外、つまり範囲外の行を削除(範囲内のみ抽出)
reader = reader[reader['area'] != -1]
reader.to_csv(get_write_path('Origin') + env.get_file_name(args),
index=None,
encoding='Shift_JISx0213')
print(env.get_file_name(args))
# Scenargieのoutput dataがあるPCで実行すること
if __name__ == '__main__':
if check_write_dir(env.ROOT_DIR()):
make_area_mesh()
columns = ['id', 'type', 'is_arrived', 'time', 'road', 'x', 'y']
env.for_default(main)
# od.csvはコピーでOneDriveへ移動
args = env.get_for_list()
for _dir in args.dir:
for _ratio in args.ratio:
for _seed in args.seed:
_args = env.ARGS_FOR_LIST(_dir, _ratio, _seed, 'od')
shutil.copyfile(
get_read_path(_args),
get_write_path('Origin') + env.get_file_name(_args))
print(env.get_file_name(_args))
else:
print('プログラムを終了します')
sys.exit()
df = df.apply(lambda x: extract_only_area(x), axis=1)
# df.iloc[:, 3:] = df.iloc[:, 3:].applymap(lambda x: road_to_area[x])
# df = df[df.loc[:, 'c03'] >= 0]
# dfT = df.T
# dfT = dfT.apply(remove_and_fill_none_area)
# df = dfT.T
# df.reset_index(drop=True, inplace=True)
# # df = pd.concat([df_id, df], axis=1)
# df = df.rename(columns={'c00': 'id'})
# df = df.sort_values(['id'])
# df = df.drop(['c01', 'c02'], axis=1)
#
# df.replace(' ', np.NaN, inplace=True)
# df.dropna(how='all', axis=1, inplace=True)
df = df.applymap(lambda x: (x.split('(census)')[0]) if (type(x) is str) and ('(census)' in x) else x)
for _area in env.get_area_list():
df_area = create_next_move_area(df.copy(), _area)
df_area.to_csv(env.get_full_path(write_dir_name, args, any=_area), index=False)
if __name__ == '__main__':
if not env.check_write_dir(write_dir_name):
print('プログラムを終了します')
sys.exit()
env.for_default(func_road_to_area, csv=['census'])
env.for_default(main, csv=['od'])