khaerulumam42

import requests
from bs4 import BeautifulSoup
from tqdm import tqdm_notebook as tqdm
import json
import pandas as pd

khaerulumam42

continent_codes = ['A', 'P', 'E', 'M', 'F']
country_names = []
country_codes = {}

khaerulumam42

for continent_code in continent_codes:    
    home = 'https://www.exchange-rates.org/currentRates/{}/USD'.format(continent_code)
    home = requests.get(home)
    home = home.text
    soup_home_raw = BeautifulSoup(home, 'html.parser')
    soup_home = soup_home_raw.find_all('td', attrs={'class':'text-left convert-to'})
    for i, x in enumerate(soup_home):
        z = x.text
        z = z.split(' ')
        currency_code = list(z[-1])[-3:]

khaerulumam42

def is_number(s):
    try:
        float(s)
        return True
    except ValueError:
        pass 
    try:
        import unicodedata
        unicodedata.numeric(s)
        return True

khaerulumam42

results = {}
print("Progress scrapping")
for i, code in enumerate(tqdm(list(country_codes.values()))):
    tmp_data = {}
    webpage = 'https://www.exchange-rates.org/history/{}/USD/T'.format(code)
    webpage = requests.get(webpage)
    webpage = webpage.text
    soup = BeautifulSoup(webpage, 'html.parser')
    data = soup.find_all('div', attrs={'class':'table-responsive'})
    

khaerulumam42

with open('results.json', 'r') as f:
    results = json.load(f)

with open('country_codes.json', 'r') as f:
    country_codes = json.load(f)

khaerulumam42

import matplotlib
#matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
sns.set()

for i, code in enumerate(list(results.keys())[0:4]):
    pd_data = pd.DataFrame.from_dict(results[code])
    pd_data['date'] = pd.to_datetime(pd_data['date'])

khaerulumam42

import json
import pandas as pd
import matplotlib
#matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
sns.set()

khaerulumam42

with open('results.json', 'r') as f:
    results = json.load(f)

with open('country_codes.json', 'r') as f:
    country_codes = json.load(f)

khaerulumam42

def dictkeys_from_value(dictio, value):
    idx_val = list(dictio.values()).index(value)
    return list(dictio.keys())[idx_val]

diff = {}
daftar_negara = []
daftar_perubahan = []
for i, code in enumerate(list(results.keys())):
    # proses ke dataframe supaya lebih mudah untuk ditampilkan ke data
    pd_data = pd.DataFrame.from_dict(results[code])