def get_china_yearly_ppi():
"""
获取中国年度PPI数据, 数据区间从19950801-至今
:return: pandas.Series
1995-08-01 13.5
1995-09-01 13
1995-10-01 12.9
1995-11-01 12.5
1995-12-01 11.1
...
2019-07-10 0
2019-08-09 -0.3
2019-09-10 -0.8
2019-10-15 -1.2
2019-11-09 0
"""
t = time.time()
res = requests.get(
JS_CHINA_PPI_YEARLY_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PPI年率报告"] 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 = "ppi"
return temp_df
def macro_china_ppi_yearly():
"""
中国年度PPI数据, 数据区间从19950801-至今
https://datacenter.jin10.com/reportType/dc_chinese_ppi_yoy
:return: pandas.Series
"""
t = time.time()
res = requests.get(
JS_CHINA_PPI_YEARLY_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PPI年率报告"] 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 = "ppi"
return temp_df