datacorner

from threading import Timer
import requests
import pandas as pd
from time import localtime, strftime

def update():
    getData()
    set_timer()
 
def set_timer():

datacorner

import requests
import lxml.html as lh
import pandas as pd

# URL
url = '...'

# XPath content to collect
tags = ['//a[@class="XX"]', \
        '//p[@class="XX"]' , \

datacorner

    /**
     * Read a file and put it into a String variable
     * @param filename
     * @return
     */
    public static String FILE_TO_STRING(String filename) {
        BufferedReader reader = null;
        try {
            InputStream myFile = Thread.currentThread().getContextClassLoader().getResourceAsStream(filename);
            reader = new BufferedReader(new InputStreamReader(myFile));

datacorner

    /**
     * Execute a commande line in synchronous call mode
     * @param line command line
     * @return result
     */
    public String EXECUTE_CMD(String line) {
        String retValue = "";
        try {
            if (!line.equalsIgnoreCase("")) {
                Process p = Runtime.getRuntime().exec(line);

datacorner

    /**
     * Returns the real system path of WEB-INF through a servlet
     * @return répertoire WEB-INF
     */
    public static String WEBINF_PATH() {
        String className = JoyConfigfileProvider.class.getName().replaceAll("\\.", "/") + ".class";
        // Use the ClassLoader to find the absolute path to this file.
        URL classPath = JoyConfigfileProvider.class.getClassLoader().getResource(className);
        //create a new File and go from file to parent file to find the WEB-INF directory
        File f = new File(classPath.getPath());

datacorner

# Where matplotlib do not work (when using string labels for hist())
from collections import Counter
def hist_string(df) :
    distincts_count = Counter(df)
    df = pd.DataFrame.from_dict(distincts_count, orient='index')
    df.plot(kind='bar')
hist_string(titanic.Embarked)

datacorner

# The goal here is to create a double histogram with string labels which is not supported yet with the hist() matplotlib function

import matplotlib.pyplot as plt
import numpy as np
from collections import Counter

# Dead list
l1 = titanic[titanic["Survived"] == 0]["Embarked"].dropna()
# Survivor list
l2 = titanic[titanic["Survived"] == 1]["Embarked"].dropna()