def get(self, table, query=None): url = '%s%s?results_per_page=%s' % (self.site, table, self.limit) if query: url = '%s&q=%s' % (url, dmp(query, cls=CustomEncoder)) r = g(url, headers=self.HDR) return loads(r.text)['objects']
def get(self, table, query=None):
url = "%s%s?results_per_page=%s" % (self.site, table, self.limit)
if query:
url = "%s&q=%s" % (url, dmp(query, cls=CustomEncoder))
r = g(url, headers=self.HDR)
return loads(r.text)["objects"]
def countries_by_currency():
c_code = {}
r = g("https://restcountries.eu/rest/v2/").json()
for i in r :
for j in i["currencies"]:
if j["code"] not in c_code:
c_code[j["code"]]=[i["name"]]
else:
if i["name"] not in c_code[j["code"]]:
c_code[j["code"]].append(i["name"])
return c_code
pip unninstal requests #Remove o módulo requests
#Utilizando Módulos
#1 - Importa o módulo requests
import requests
requests.get('http://www.uol.com.br')
#2 - Importa o módulo, renomeando-o para r.
import requests as r
r.get('http://www.uol.com.br')
#3 - Importa apenas o método get, do módulo requests
from requests import get
get('http://uol.com.br')
#4 - Importa os métodos get e post do módulo requests
from requests import get,post
#5 - Importa o método get do módulo requests renomeando-o para g.
from requests import get as g
g('http://uol.com.br')
-------------------------------------------------------
Módulos(os):
#Interface para ações do OS
Utilização:
import os
Métodos:
os.path.join() #Cria o path mantendo compatibilidade do código
#Exemplo(linux):
os.path.join('/root','Documents')
...output ->'/root/Documents'
#Exemplo(windows):
os.path.join('C','Documents')
def get(self, table, query=None): base = '%s%s' % (self.site, table) url = '%s?q=%s' % (base, dmp(query, cls=CustomEncoder)) if query else base r = g(url, headers=self.HDR) return loads(r.text)['objects']
from json import loads as l
from requests import get as g
from pandas.io.json import json_normalize as n
from bs4 import BeautifulSoup as b
from pandas import concat as c
c([
n(
l(
g("https://xkcd.com<id>info.0.json".replace("<id>",
link["href"])).text))
for link in b(g("https://xkcd.com/archive/").text).find(
id="middleContainer").find_all("a")
]).to_pickle("xkcd_metadata.pkl")
from requests import get as g
from bs4 import BeautifulSoup as bs
import pandas as pd
requête = g(
"https://www.imdb.com/search/title?release_date=2017-01-01,2017-12-31&sort=num_votes,desc&ref_"
)
html_soup = bs(requête.text, "html.parser")
movie_container = html_soup.find_all('div', class_="lister-item mode-advanced")
print(len(movie_container))
#titre d'un film
first_movie = movie_container[0]
first_name = first_movie.h3.a.text
print(first_name)
# Année de sortie
first_years = first_movie.h3.find(
"span", class_="lister-item-year text-muted unbold").text
print(first_years)
# Note
first_imdb = float(first_movie.strong.text)
print(first_imdb)
# Note metascore
first_metascore = first_movie.find("span", class_="metascore favorable")
first_metascore = int(first_metascore.text)
print(first_metascore)