def get_china_monthly_cpi():
"""
获取中国月度CPI数据, 数据区间从19960201-至今
:return: pandas.Series
1996-02-01 2.1
1996-03-01 2.3
1996-04-01 0.6
1996-05-01 0.7
1996-06-01 -0.5
...
2019-07-10 -0.1
2019-08-09 0.4
2019-09-10 0.7
2019-10-15 0.9
2019-11-09 0
"""
t = time.time()
res = requests.get(
JS_CHINA_CPI_MONTHLY_URL.format(
str(int(round(t * 1000))), str(int(round(t * 1000)) + 90)
)
)
json_data = json.loads(res.text[res.text.find("{") : res.text.rfind("}") + 1])
date_list = [item["date"] for item in json_data["list"]]
value_list = [item["datas"]["中国CPI月率报告"] for item in json_data["list"]]
value_df = pd.DataFrame(value_list)
value_df.columns = json_data["kinds"]
value_df.index = pd.to_datetime(date_list)
temp_df = value_df["今值(%)"]
temp_df.name = "cpi"
return temp_df
def macro_china_cpi_monthly():
"""
中国月度CPI数据, 数据区间从19960201-至今
https://datacenter.jin10.com/reportType/dc_chinese_cpi_mom
:return: pandas.Series
"""
t = time.time()
res = requests.get(
JS_CHINA_CPI_MONTHLY_URL.format(str(int(round(t * 1000))),
str(int(round(t * 1000)) + 90)))
json_data = json.loads(res.text[res.text.find("{"):res.text.rfind("}") +
1])
date_list = [item["date"] for item in json_data["list"]]
value_list = [item["datas"]["中国CPI月率报告"] for item in json_data["list"]]
value_df = pd.DataFrame(value_list)
value_df.columns = json_data["kinds"]
value_df.index = pd.to_datetime(date_list)
temp_df = value_df["今值(%)"]
temp_df.name = "cpi"
return temp_df
