amankharwal

import numpy as np  
import pandas as pd 
df = pd.read_excel('Canada.xlsx', sheet_name='Canada by Citizenship', skiprows=range(20),skipfooter=2)

amankharwal

i_normal = India / India.max()
b_normal = Brazil / Brazil.max()
years = list(range(1980, 2014))
import matplotlib.pyplot as plt
plt.figure(figsize=(14, 8))
plt.scatter(years, India, color='blue')
plt.scatter(years, Brazil, color='orange')
plt.xlabel("Years", size=14)
plt.ylabel("Number of immigrants", size=14)
plt.show()

amankharwal

plt.figure(figsize=(12, 8))
plt.scatter(years, Brazil, 
                  color='darkblue', 
                 alpha=0.5,
                 s = b_normal * 2000)
plt.scatter(years, India, 
                  color='purple', 
                 alpha=0.5,
                 s = i_normal * 2000,
                 )

amankharwal

plt.figure(figsize=(12, 8))
plt.scatter(years, Brazil, 
                  c=c_br,
                 alpha=0.5,
                 s = b_normal * 2000)
plt.scatter(years, India, 
                  c=c_fr,
                 alpha=0.5,
                 s = i_normal * 2000,
                 )

amankharwal

plt.figure(figsize=(12, 8))
plt.scatter(years, Brazil, 
                  c=c_br,
                 alpha=0.5,
                 s = b_normal * 2000)
plt.xlabel("Years", size=14)
plt.ylabel("Number of immigrants of Brazil", size=14)

amankharwal

from telegram.ext import Updater, CommandHandler, MessageHandler, Filters
updater = Updater(token='TOKEN', use_context=True) #Replace TOKEN with your token string
dispatcher = updater.dispatcher

amankharwal

def hello(update, context):
    context.bot.send_message(chat_id=update.effective_chat.id, text='Hello, World')

amankharwal

hello_handler = CommandHandler('hello', hello)
dispatcher.add_handler(hello_handler)

amankharwal

amankharwal