update and eu

This commit is contained in:
TerenceLiu98 2021-05-28 16:54:52 +08:00
parent 3bc5ba09f9
commit 24e530566c
5 changed files with 81 additions and 50 deletions

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@ -4,6 +4,7 @@ import re
import demjson
import requests
from fake_useragent import UserAgent
from config import config
# TODO need add comments

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@ -1,6 +1,6 @@
import pandas as pd
import numpy as np
import re
import io
import demjson
import requests
from fake_useragent import UserAgent
@ -9,25 +9,67 @@ from fake_useragent import UserAgent
url = {
"eurostat": "http://ec.europa.eu/eurostat/wdds/rest/data/v2.1/json/en/",
"ecb": "https://sdw.ecb.europa.eu/servlet/homePageChart?from=dynamic&"
"ecb": "https://sdw-wsrest.ecb.europa.eu/service/data/"
}
class ecb_data(object):
def __init__(self, url=url["ecb"]):
self.url = url
def ecb_data():
def codebook(self):
return "please follow the ECB's codebook: https://sdw.ecb.europa.eu/browse.do?node=9691101"
def get_data(self,
datacode="ICP",
key="M.U2.N.000000.4.ANR",
startdate="2000-01-01",
enddate="2020-01-01"):
"""
Full Name: Gross Domestic Product
Description: Billions of Dollars, Quarterly, Seasonally Adjusted Annual Rate
Return: pd.DataFrame
"""
tmp_url = url["fred_econ"]
tmp_url = self.url + "{}/".format(datacode) + "{}".format(key)
ua = UserAgent()
request_header = {"User-Agent": ua.random}
request_header = {"User-Agent": ua.random, 'Accept': 'text/csv'}
request_params = {
"id": "GDP",
"cosd": "{}".format(startdate),
"coed": "{}".format(enddate)
"startPeriod": "{}".format(startdate),
"endPeriod": "{}".format(enddate)
}
r = requests.get(tmp_url, params = request_params, headers = request_header)
data_text = r.content
df = pd.read_csv(io.StringIO(data_text.decode('utf-8')))
return df
class eurostat_data(object):
def __init__(self, url=url["eurostat"]):
self.url = url
def codebook(self):
return "please follow the EuroStat's codebook: \nhttps://ec.europa.eu/eurostat/estat-navtree-portlet-prod/BulkDownloadListing?sort=1&dir=dic"
def get_data(self,
datasetcode="nama_10_gdp",
precision="1",
unit="CP_MEUR",
na_item="B1GQ",
time="2020"):
"""
"""
tmp_url = self.url + "{}".format(datasetcode)
ua = UserAgent()
request_header = {"User-Agent": ua.random, 'Accept': 'text/csv'}
request_params = {
"precision": "{}".format(precision),
"unit": "{}".format(unit),
"na_item": "{}".format(na_item),
"time": "{}".format(time)
}
r = requests.get(tmp_url, params = request_params, headers = request_header)
data_text = r.text
data_json = demjson.decode(data_text)
value = data_json['value']
abb = data_json['dimension']['geo']['category']['index']
abb = {abb[k]:k for k in abb}
geo = data_json['dimension']['geo']['category']['label']
geo_list = [abb[int(k)] for k in list(value.keys())]
geo = [geo[k] for k in geo_list]
df = pd.DataFrame({"Geo":geo, "{}".format(na_item): list(value.values())})
return df

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@ -1,29 +1 @@
from CEDA.MacroEcon.cn import (
gdp_quarterly,
ppi_monthly,
cpi_monthly,
pmi_monthly,
fai_monthly,
hi_old_monthly,
hi_new_monthly,
ci_eei_monthly,
ig_monthly,
cgpi_monthly,
cci_csi_cei_monthly,
trscg_monthly,
ms_monthly,
ie_monthly,
stock_monthly,
fgr_monthly,
ctsf_monthly,
sao_monthly,
fdi_monthly,
gr_monthly,
ti_monthly,
nl_monthly,
dfclc_monthly,
fl_monthly,
drr_monthly,
interest_monthly,
gdc_daily
)
from CEDA import *

15
CEDA/config.py Normal file
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@ -0,0 +1,15 @@
import requests
def config(http:str, https:str, auth:bool, user:str, passwd:str):
if auth == False:
proxies = {
"http": "{}".format(http),
"https": "{}".format(https)
}
return proxies
if auth == True:
proxies = {
"http": "http://{}:{}@{}".format(user, passwd, http),
"https": "https://{}:{}@{}".format(user, passwd, https),
}
return proxies

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@ -29,3 +29,4 @@ python -m pip install CEDApy
* Thanks [EastMoney](https://www.eastmoney.com)
* Thanks [St.Louis Fred Reserve Bank](https://fred.stlouisfed.org/)
* Thanks [eurostat Economic Indicators](https://ec.europa.eu/eurostat/cache/infographs/economy/desktop/index.html)
* Thanks [Europen Central Bank](https://www.ecb.europa.eu)