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PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Cabin | Embarked | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0 | 3 | Braund, Mr. Owen Harris | male | 22 | 1 | 0 | A/5 21171 | 7.25 | S | ||
2 | 1 | 1 | Cumings, Mrs. John Bradley (Florence Briggs Thayer) | female | 38 | 1 | 0 | PC 17599 | 71.2833 | C85 | C | |
3 | 1 | 3 | Heikkinen, Miss. Laina | female | 26 | 0 | 0 | STON/O2. 3101282 | 7.925 | S | ||
4 | 1 | 1 | Futrelle, Mrs. Jacques Heath (Lily May Peel) | female | 35 | 1 | 0 | 113803 | 53.1 | C123 | S | |
5 | 0 | 3 | Allen, Mr. William Henry | male | 35 | 0 | 0 | 373450 | 8.05 | S | ||
6 | 0 | 3 | Moran, Mr. James | male | 0 | 0 | 330877 | 8.4583 | Q | |||
7 | 0 | 1 | McCarthy, Mr. Timothy J | male | 54 | 0 | 0 | 17463 | 51.8625 | E46 | S | |
8 | 0 | 3 | Palsson, Master. Gosta Leonard | male | 2 | 3 | 1 | 349909 | 21.075 | S | ||
9 | 1 | 3 | Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) | female | 27 | 0 | 2 | 347742 | 11.1333 | S |
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1 | 0 | 3 | Braund, Mr. Owen Harris | male | 22 | 1 | 0 | A/5 21171 | 7.25 | S | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|
2 | 1 | 1 | Cumings, Mrs. John Bradley (Florence Briggs Thayer) | female | 38 | 1 | 0 | PC 17599 | 71.2833 | C85 | C | |
3 | 1 | 3 | Heikkinen, Miss. Laina | female | 26 | 0 | 0 | STON/O2. 3101282 | 7.925 | S | ||
4 | 1 | 1 | Futrelle, Mrs. Jacques Heath (Lily May Peel) | female | 35 | 1 | 0 | 113803 | 53.1 | C123 | S | |
5 | 0 | 3 | Allen, Mr. William Henry | male | 35 | 0 | 0 | 373450 | 8.05 | S | ||
6 | 0 | 3 | Moran, Mr. James | male | 0 | 0 | 330877 | 8.4583 | Q | |||
7 | 0 | 1 | McCarthy, Mr. Timothy J | male | 54 | 0 | 0 | 17463 | 51.8625 | E46 | S | |
8 | 0 | 3 | Palsson, Master. Gosta Leonard | male | 2 | 3 | 1 | 349909 | 21.075 | S | ||
9 | 1 | 3 | Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) | female | 27 | 0 | 2 | 347742 | 11.1333 | S |
View telegram bot
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import requests | |
import json | |
def summary(update, context): | |
response = requests.get('https://api.covid19api.com/summary') | |
if(response.status_code==200): #Everything went okay, we have the data | |
data = response.json() | |
print(data['Global']) | |
context.bot.send_message(chat_id=update.effective_chat.id, text=data['Global']) | |
else: #something went wrong | |
context.bot.send_message(chat_id=update.effective_chat.id, text="Error, something went wrong.") |
View telegram bot
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hello_handler = CommandHandler('hello', hello) | |
dispatcher.add_handler(hello_handler) |
View telegram bot
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def hello(update, context): | |
context.bot.send_message(chat_id=update.effective_chat.id, text='Hello, World') |
View telegram bot
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from telegram.ext import Updater, CommandHandler, MessageHandler, Filters | |
updater = Updater(token='TOKEN', use_context=True) #Replace TOKEN with your token string | |
dispatcher = updater.dispatcher |
View Bubble Plots
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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) |
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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, | |
) |
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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, | |
) |
View gist:7094bf5880b685b386aa97d0e94401bb
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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() |
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