env.get_file_name(args),
index=None,
encoding='Shift_JISx0213')
# 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))
def get_write_path(name):
path = env.ROOT_DIR() + name + '/'
if not os.path.isdir(path):
os.makedirs(path)
return path
def get_write_path():
path = env.ROOT_DIR() + '2D/'
if not os.path.isdir(path):
os.makedirs(path)
return path
def get_read_path():
return env.ROOT_DIR() + 'Origin/'
def get_read_path():
return env.ROOT_DIR() + 'Interpolated_Origin/'
def get_read_path():
return env.ROOT_DIR()
def get_write_path():
path = env.ROOT_DIR() + 'Interpolated_Origin/'
if not os.path.isdir(path):
os.makedirs(path)
return path
df_new = pd.DataFrame(array, columns=['id', 'type', 'time', 'area'])
return df_new
if __name__ == '__main__':
dir_list = env.DIR_LIST()
seed_list = [str(123 + i) for i in range(env.MAX_SEED_COUNT())]
for _dir in dir_list:
for _seed in seed_list:
csv_name = 'mobile'
df_read = pd.read_csv(get_read_path() + _dir + 'seed' + _seed +
'_' + csv_name + '.csv')
output = split_per_time(df_read)
output.to_csv(get_write_path() + _dir + 'seed' + _seed + '_' +
csv_name + '.csv',
index=False)
print(_dir + 'seed' + _seed + csv_name + '.csv')
# censusも同じディレクトリの方が都合が良いので抽出して出力する
csv_name = 'census'
df_read = pd.read_csv(env.ROOT_DIR() + 'Origin/' + _dir + 'seed' +
_seed + '_' + csv_name + '.csv',
encoding='Shift_JISx0213')
output = df_read.loc[:, ['id', 'type', 'time', 'area']]
output.to_csv(get_write_path() + _dir + 'seed' + _seed + '_' +
csv_name + '.csv',
index=False)
print(_dir + 'seed' + _seed + csv_name + '.csv')
def get_write_path():
return env.ROOT_DIR() + ''