pool = Pool(size=10)
pool.add_tasks([ ( getEach, (i, id,)) for i, id in enumerate(id_list)])
pool.run()
temp_list = list(pool.output_queue.queue)
temp_list.sort(key=lambda e: e['編號'])
data = temp_list
def process():
global data
temp_list = []
for temp in data:
temp['第一層級'] = '台南市政府'
temp_list.append(temp)
data = temp_list
if __name__ == '__main__':
f_name = '05_tainan'
# ===== Download or Load data =====
load()
# ===== process =====
getAll()
process()
# ===== save =====
lib.saveCSV(f_name, data)
lib.saveJSON(f_name, data)
temp[org].append(row)
break
org_data = temp
for t in temp:
print(t, len(temp[t]))
if __name__ == '__main__':
list_url = 'https://data.gov.tw/datasets/export/csv'
download_url = 'https://data.gov.tw/statistics/datasets/datasets/export/csv'
f_name = '16-22_data_gov'
# ===== Download and Combine =====
# downloadList(list_url, download_url, f_name)
# combineCSV(f_name)
# ===== Load data =====
load()
# ===== process =====
process()
# ===== save =====
org_name = ['屏東','基隆','苗栗','彰化','雲林','嘉義','花蓮','連江']
org_f_name = ['15_pingtung', '16_keelung', '17_miaoli', '18_changhua', '19_yunlin', '20_chiayi_cuntry', '21_hualien', '22_lianjiang']
for i in range(len(org_f_name)):
lib.saveCSV(org_f_name[i], org_data[org_name[i]])
lib.saveJSON(org_f_name[i], org_data[org_name[i]])
