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sample_website.py
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sample_website.py
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from flask import Flask,render_template
#instantiating
app = Flask(__name__)
#plot fun mapped '/plot' hence triggers plot() to execute
@app.route('/plot/')
def plot():
from pandas_datareader import data
import datetime
from bokeh.plotting import figure,show,output_file
from bokeh.embed import components
from bokeh.resources import CDN #CDN = Content Delivery Network
start = datetime.datetime(2019,11,2)
end = datetime.datetime(2020,3,10)
df = data.DataReader(name="GOOG",data_source="yahoo",start=start,end = end)
#indermediate data to avoid bohek confusion
def inc_dec(c,o):
if c>o:
value ="Increase"
elif c<o:
value ="Decrease"
else:
value = "Equal"
return value
#creating new column
df["Status"] = [inc_dec(c,o) for c,o in zip(df.Close,df.Open)]
df["Middle"] = (df.Open+df.Close)/2
df["Height"] = abs(df.Open-df.Close)
#sizing_mode="scale_width" resizes the chart based on window size
p = figure(x_axis_type="datetime",width=1000,height=300,sizing_mode="scale_width")
p.title.text="Candlestick Chart"
p.grid.grid_line_alpha = 0.3 #alpha denotes the level of transperancy og the grid horizontal lines
hours_12=12*60*60*1000
p.segment(df.index,df.High,df.index,df.Low,color="black")
p.rect(df.index[df.Status == "Increase"],df.Middle[df.Status == "Increase"],hours_12,
df.Height[df.Status == "Increase"],fill_color="#CCFFFF",line_color="black")
p.rect(df.index[df.Status == "Decrease"],df.Middle[df.Status == "Decrease"],hours_12,
df.Height[df.Status == "Decrease"],fill_color="#FF3333",line_color="black")
script1,div1 = components(p)
cdn_js = CDN.js_files[0]
return render_template("plot.html",script1 = script1,div1 = div1,cdn_js = cdn_js)
@app.route('/')
def home():
#render template - access html files stored in python application & display the html on requested url
return render_template("home.html")
@app.route('/about/')
def about():
return render_template("about.html")
if __name__== "__main__":
app.run(debug = True)