ebergam

# -*- coding: utf-8 -*-

import sys, re, time, logging, requests
import random
import unicodecsv as csv
from threading import Thread, Lock, currentThread
from queue import Queue, Empty
from lxml import html

lock = Lock()

ebergam

graph = px.scatter(df, x="employment", y="equity", #color="country", 
                   hover_name="country", text="countrycode",
           range_x=[48,80], range_y=[76,93], template="plotly_dark", size="pop",
           animation_group="country", animation_frame="year",
           labels=dict(employment="Emp", equity="Eq",year="Year"))

for i in graph['data']:
    i['name'] = i['name'].replace('Country=', '')
    

ebergam

import pandas as pd
import os
import matplotlib.pyplot as plt
import missingno as msno

## The script merges and reshapes the data provided by https://github.com/kylemcdonald/covid-mobility-data
## Assumes all tsv files are in a folder called "archive"
## Inputs different files, outputs longform tidy data. 

bdf = pd.read_csv('archive/2020-03-29_ES_Mobility_Report_en.pdf.tsv', sep='\t', nrows=0)

ebergam

ebergam

from bs4 import BeautifulSoup as bs
import re, requests, time
from lxml import html

links = []

for date in range(1998, 2020+1):
    url = 'https://www.ecb.europa.eu/press/pressconf/{}/html/index_include.en.html'.format(date)
    r = requests.get(url)
    tree = html.fromstring(r.content)