def test_parse_dataset(): f = os.path.join(jsonstat._examples_dir, "www.json-stat.org", "canada.json") dataset = jsonstat.from_file(f) assert dataset is not None assert isinstance(dataset, jsonstat.JsonStatDataSet) assert 120 == len(dataset)
def test_parsing_json_stat_org_files(): for f in os.listdir(fixture_jsonstat_org_dir): jsonstat_file = join(fixture_jsonstat_org_dir, f) if isfile(jsonstat_file) and jsonstat_file.endswith(".json"): # print("parsing {}".format(jsonstat_file)) ret = jsonstat.from_file(jsonstat_file) msg = "parsing {}".format(jsonstat_file) assert ret is not None, msg
def test_parsing_json_stat_org_files(self): for f in os.listdir(self.fixture_jsonstat_org_dir): jsonstat_file = join(self.fixture_jsonstat_org_dir, f) if isfile(jsonstat_file) and jsonstat_file.endswith(".json"): # print("parsing {}".format(jsonstat_file)) ret = jsonstat.from_file(jsonstat_file) msg = "parsing {}".format(jsonstat_file) self.assertIsNotNone(ret, msg)
def test_parsing_json_stat_org_files(): example_jsonstat_org_dir = os.path.join(jsonstat._examples_dir, "www.json-stat.org") for f in os.listdir(example_jsonstat_org_dir): jsonstat_file = join(example_jsonstat_org_dir, f) if isfile(jsonstat_file) and jsonstat_file.endswith(".json"): # print("parsing {}".format(jsonstat_file)) ret = jsonstat.from_file(jsonstat_file) msg = "parsing {}".format(jsonstat_file) assert ret is not None, msg
def info(cache_dir, args): if len(args) == 0: args = ['http://json-stat.org/samples/oecd-canada-col.json'] d = jsonstat.cache_dir(cache_dir) print("downloaded file(s) are stored into '{}'\n".format(d)) for arg in args: if arg.startswith("http"): print("download '{}'".format(arg)) o = jsonstat.from_url(arg) else: print("reading '{}'".format(arg)) o = jsonstat.from_file(arg) print(o) if isinstance(o, jsonstat.JsonStatCollection): print("\nfirst dataset:\n") print(o.dataset(0))
def llegir_indicador_world_bank(indicador): # Consultem via API la web del Banc Mundial. # La funció retorna un Panda DataFrame amb les columnes "ISO3","year","<indicador>" filename = os.getcwd() + "/" + indicador + ".jsonstat" url = "https://api.worldbank.org/v2/country/all/indicator/" + indicador + "?format=jsonstat" if os.path.isfile(filename): jstat = jsonstat.from_file(filename) else: jstat = jsonstat.from_string(jsonstat.download(url, filename)) df = jstat.dataset(0).to_data_frame(content='id') df.drop(columns="series", inplace=True) df.rename(columns={"country": "ISO3", "Value": indicador}, inplace=True) # Assimilem les dades de 2018 a l'any 2019 a l'espera de la seva publicació j = 0 for i in (df.loc[df.year == '2019']).index: df.at[i, indicador] = (df.loc[df.year == '2018', indicador]).values[j] j += 1 return df
def test_parse_dataset(self): f = os.path.join(self.fixture_jsonstat_org_dir, "canada.json") dataset = jsonstat.from_file(f) self.assertIsNotNone(dataset) self.assertIsInstance(dataset, jsonstat.JsonStatDataSet) self.assertEqual(120, len(dataset))
@author: P.Jakobsen From https://jsonstatpy.readthedocs.io/en/latest/notebooks/eurostat.html """ from __future__ import print_function import os import pandas as pd import jsonstat import matplotlib as plt url_1 = 'http://ec.europa.eu/eurostat/wdds/rest/data/v1.1/json/en/nama_gdp_c?precision=1&geo=IT&unit=EUR_HAB&indic_na=B1GM' file_name_1 = "eurostat-environmental-tax.json" url_1="http://ec.europa.eu/eurostat/wdds/rest/data/v2.1/json/en/nama_10_gdp?geo=EU28&precision=1&na_item=B1GQ&unit=CP_MEUR&time=2010&time=2011" #url_1="http://ec.europa.eu/eurostat/wdds/rest/data/v2.1/json/en/nama_gdp_c?precision=1&geo=IT&unit=EUR_HAB&indic_na=B1GM'" file_path_1 = "data/"+file_name_1 if os.path.exists(file_path_1): print("using already donwloaded file {}".format(file_path_1)) else: print("download file") jsonstat.download(url_1, file_name_1) file_path_1 = file_name_1 collection_1 = jsonstat.from_file(file_path_1) collection_1 nama_gdp_c_1 = collection_1.dataset('nama_gdp_c') nama_gdp_c_1