def aqi_get_daily_aqi():
df = aqi.get_daily_aqi(date=request.form['date'])
print(df)
return df.to_json(orient='table')
# encoding: utf-8
from opendatatools import aqi
from pyecharts import Geo
import pandas as pd
if __name__ == '__main__':
df_aqi = aqi.get_daily_aqi('2018-05-27')
df_aqi.to_csv("aqi_daily.csv")
#df_aqi = pd.read_csv("aqi_daily.csv")
# some city cannot by process by echart
echart_unsupported_city = [
"菏泽市", "襄阳市", "恩施州", "湘西州", "阿坝州", "延边州", "甘孜州", "凉山州", "黔西南州", "黔东南州",
"黔南州", "普洱市", "楚雄州", "红河州", "文山州", "西双版纳州", "大理州", "德宏州", "怒江州", "迪庆州",
"昌都市", "山南市", "林芝市", "临夏州", "甘南州", "海北州", "黄南州", "海南州", "果洛州", "玉树州",
"海西州", "昌吉州", "博州", "克州", "伊犁哈萨克州"
]
data = []
for index, row in df_aqi.iterrows():
city = row['city']
aqi = row['aqi']
if city in echart_unsupported_city:
continue
data.append((city, aqi))
def test_get_daily_aqi(self):
df = aqi.get_daily_aqi('2018-01-01')
assert(len(df)>0)