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from requests_html import AsyncHTMLSession
import pandas as pd
from unicodedata import normalize


url = 'https://www.flashscore.com/'

asession = AsyncHTMLSession()

async def get_scores():

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from h2o_wave import main, app, Q, ui, handle_on, on, data
from loguru import logger


def on_startup():
    """
    Runs when the app is started, even if there are no browsers connected
    :return:
    """
    logger.info('http://localhost:10101/')

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from requests import get
import threading
from time import sleep
from  pandas import Series
from datetime import datetime

# Function get information in json format from Yahoo Finance
def stream(
    symbol,
    callback=None,

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import sys
import os

for line in sys.path: 
    if line.endswith('site-packages'):
        print(line)
        lib_path = line
        
file = os.path.join(lib_path, 'accurate_modules.pth')
        

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# script to generate the neww pandas logo
# MrEavesXLModOT-Bold font must be installed

import altair as alt
from pandas import DataFrame

source = DataFrame({
    'x': [1, 2, 2, 2, 3, 3, 3, 4],
    'y': [0, 54.17, 119.6, 157.8, 13.73, 78.13, 116.17, 54.17],
    'y2': [167.0,  105.37,  144.17, 209.0, 64.93, 102.7, 167.37, 221.17],

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read_hst <- function(filename){
  library(anytime)
  
  hst_file <- file(filename, "rb")
  version <- readBin(hst_file, integer(), 1, size = 4, endian="little")
  head  <- readBin(hst_file, character(), 22, endian="little")
  symbol <- head[22]
  print(paste(symbol, "hst to dataframe"))
  datetime <- c()
  open <- c()

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def read_hst(filename):
    from pandas import DataFrame, to_datetime
    from struct import unpack, calcsize, iter_unpack
    bint = open(filename, 'rb').read()
    head = unpack('<i64s12siiii', bint[:96])
    version = head[0]
    symbol = head[2].decode("utf-8").split('\x00')[0]
    start = 148
    if version == 401:
        fmt = '<qddddqfq'

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def new_snippet(name, code):
    '''Save a new snippet at json for Snippets nbextesion

        Parameters
        ----------
        name : str
            Name that will appear in the drop-down list
        code : str
            String containing the lines of code to be saved.

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from requests import get
import threading
from time import sleep

# Función que usa un llamada para tomar la información en formato json de la api pública
def get_pi(callback=None, base='EUR', wait_time=1, verbose=False):
    while True:
        response = get(
            f'https://api.piexchange.io/v1/public/instrument/ticker/PIT{base}')
        info_dict = response.json()

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from pandas import read_excel, to_datetime
def read_vc_excel(io):
    """Read a xlxs file from Visualchart historical data patch 
    into a pandas DataFrame.
    
    Parameters:
    io : str, file descriptor, pathlib.Path, ExcelFile or xlrd.Book
    The string could be a URL. Valid URL schemes include http, ftp, s3,
    gcs, and file. For file URLs, a host is expected. For instance, a local
    file could be /path/to/workbook.xlsx.