alanjones2

from flask import Flask, render_template
import pandas as pd
import json
import plotly
import plotly.express as px

app = Flask(__name__)

@app.route('/')
def index():

alanjones2

# Test the accuracy of TextBlob and VADER with tweet data from Sentiment140

# This code is for educational and demonstration purposes only

from textblob import TextBlob
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
import pandas as pd

def rounder(num):
    return round(num)

alanjones2

import pandas as pd
import ipywidgets as widgets

weather=pd.read_csv('heathrowDataFiltered.csv')

def fmax(year): 
    yticks = [0,5,10,15,20,25,30]
    label="Degrees Celsius"
    f(year, 'Tmax','line', yticks, label)
    

alanjones2

import numpy as np
import pandas as pd

weather=pd.read_csv('heathrowDataFiltered.csv')

import matplotlib.pyplot as plt

fig, axes = plt.subplots(nrows=2, ncols=2,figsize=(10,7))

def plotchart(y,yticks,label,ax, kind):

alanjones2

    message = """
            __Select an application from the list below__
           """

    import json
    import streamlit as st
    import importlib
    import stlib    # default library name for apps
    from stlib import libContents

alanjones2

    message = """
            __Select an application from the list below__
            """

    import streamlit as st
    st.set_page_config(layout = "wide") # optional

    from stlib import countryData
    from stlib import continentData

alanjones2

    def run():
        import streamlit as st
        import pandas as pd
        import plotly.express as px
        df = pd.DataFrame(px.data.gapminder())

        # Continents/Country code goes here

    
    # This code allows you to run the app standalone

alanjones2

    import streamlit as st
    import pandas as pd
    import plotly.express as px

    st.set_page_config(layout="wide")

    df = pd.DataFrame(px.data.gapminder())

    def countryData():
        # Countries code goes here

alanjones2

    # Continents
    contlist = df['continent'].unique()
    continent = st.selectbox("Select a continent:", contlist)

    col1, col2 = st.columns(2)

    fig = px.line(df[df['continent'] == continent], 
		x = "year", y = "gdpPercap",
		title = "GDP per Capita",color = 'country')
    col1.plotly_chart(fig)

alanjones2

     # Countries
	clist = df['country'].unique()

	country = st.selectbox("Select a country:", clist)

	col1, col2 = st.columns(2)

	fig = px.line(df[df['country'] == country],
		x="year", y="gdpPercap", title="GDP per Capita")
	col1.plotly_chart(fig, use_container_width=True)