/
xplorny.py
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/
xplorny.py
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#!/usr/bin/env python
import os
import sys
import pandas as pd
import urllib
from bokeh.plotting import *
from bokeh.models import HoverTool
from collections import OrderedDict
from flask import Flask,render_template,request,redirect
from commonFunctions import *
from bokeh.charts import Histogram, BoxPlot
from bokeh.charts import defaults, vplot, hplot, show, output_file
#defining the app
app_xplor = Flask(__name__)
app_xplor.vars={}
@app_xplor.route('/index', methods = ['GET', 'POST'] )
def processIndex():
if request.method == 'GET':
return render_template('index.html')
else:
checked=request.form['option']
if (checked=='feat'):
return redirect('/getFeat')
elif (checked=='trend'):
return redirect('/getTrend')
elif (checked=='distrib'):
return redirect('/getDistrib')
@app_xplor.route('/getTrend',methods=['GET','POST'])
def getTrend():
if request.method == 'GET':
return render_template('trend.html')
else:
bronx=[[2009,'https://data.cityofnewyork.us/resource/en2c-j6tw.json'],[2010,'https://data.cityofnewyork.us/resource/n2s5-fumm.json'],[2011,'https://data.cityofnewyork.us/resource/bawj-6bgn.json'],[2012,'https://data.cityofnewyork.us/resource/3qfc-4tta.json']]
brooklyn=[[2009,'https://data.cityofnewyork.us/resource/rmv8-86p4.json'],[2010,'https://data.cityofnewyork.us/resource/w6yt-hctp.json'],[2011,'https://data.cityofnewyork.us/resource/5mw2-hzqx.json'],[2012,'https://data.cityofnewyork.us/resource/bss9-579f.json']]
manhattan=[[2009,'https://data.cityofnewyork.us/resource/956m-xy24.json'],[2010,'https://data.cityofnewyork.us/resource/ad4c-mphb.json'],[2011,'https://data.cityofnewyork.us/resource/ikqj-pyhc.json'],[2012,'https://data.cityofnewyork.us/resource/dvzp-h4k9.json']]
queens=[[2009,'https://data.cityofnewyork.us/resource/m59i-mqex.json'],[2010,'https://data.cityofnewyork.us/resource/crbs-vur7.json'],[2011,'https://data.cityofnewyork.us/resource/s3zn-tf7c.json'],[2012,'https://data.cityofnewyork.us/resource/jcih-dj9q.json']]
statenIsland=[[2009,'https://data.cityofnewyork.us/resource/cyfw-hfqk.json'],[2010,'https://data.cityofnewyork.us/resource/wv4q-e75v.json'],[2011,'https://data.cityofnewyork.us/resource/a5qt-5jpu.json'],[2012,'https://data.cityofnewyork.us/resource/tkdy-59zg.json']]
featureNames=[['comparable_rental_2_market_value_per_sqft', 'Market value per square foot'],['comparable_rental_2_full_market_value', 'Full market value'],['comparable_rental_2_year_built', 'Year Built'],['comparable_rental_2_gross_income_per_sqft', 'Gross income per square foot']]
#request was a POST (get the var from the form)
app_xplor.vars['feat'] = request.form['feat']
app_xplor.vars['bo'] = request.form['bo']
#Translating name of the feature into the name in the original database
dbFeatureName = convertField(app_xplor.vars['feat'],featureNames)
#Building the queries
if (app_xplor.vars['bo']=='Bronx'):
queryA = buildQuery(2009,bronx,dbFeatureName)
queryB = buildQuery(2010,bronx,dbFeatureName)
queryC = buildQuery(2011,bronx,dbFeatureName)
queryD = buildQuery(2012,bronx,dbFeatureName)
elif (app_xplor.vars['bo']=='Brooklyn'):
queryA = buildQuery(2009,brooklyn,dbFeatureName)
queryB = buildQuery(2010,brooklyn,dbFeatureName)
queryC = buildQuery(2011,brooklyn,dbFeatureName)
queryD = buildQuery(2012,brooklyn,dbFeatureName)
elif (app_xplor.vars['bo']=='Manhattan'):
queryA = buildQuery(2009,manhattan,dbFeatureName)
queryB = buildQuery(2010,manhattan,dbFeatureName)
queryC = buildQuery(2011,manhattan,dbFeatureName)
queryD = buildQuery(2012,manhattan,dbFeatureName)
elif (app_xplor.vars['bo']=='Queens'):
queryA = buildQuery(2009,queens,dbFeatureName)
queryB = buildQuery(2010,queens,dbFeatureName)
queryC = buildQuery(2011,queens,dbFeatureName)
queryD = buildQuery(2012,queens,dbFeatureName)
elif (app_xplor.vars['bo']=='Staten Island'):
queryA = buildQuery(2009,statenIsland,dbFeatureName)
queryB = buildQuery(2010,statenIsland,dbFeatureName)
queryC = buildQuery(2011,statenIsland,dbFeatureName)
queryD = buildQuery(2012,statenIsland,dbFeatureName)
#executing the queries on the tables
rawA = pd.read_json(queryA)
rawB = pd.read_json(queryB)
rawC = pd.read_json(queryC)
rawD = pd.read_json(queryD)
#Managind the data to be input for a boxplot
rawA['year']=2009
rawB['year']=2010
rawC['year']=2011
rawD['year']=2012
allData = pd.concat([rawA, rawB, rawC, rawD])
cleanData= allData.dropna()
cleanData.columns=[app_xplor.vars['feat'],'year']
#plot
defaults.width = 450
defaults.height = 350
box_plot = BoxPlot(cleanData, label='year',title=app_xplor.vars['bo'])
output_file("templates/results.html")
show(
vplot(
hplot(box_plot)
)
)
return redirect('/goTrend')
@app_xplor.route('/getDistrib',methods=['GET','POST'])
def getDistrib():
if request.method == 'GET':
return render_template('distrib.html')
else:
bronx=[[2009,'https://data.cityofnewyork.us/resource/en2c-j6tw.json'],[2010,'https://data.cityofnewyork.us/resource/n2s5-fumm.json'],[2011,'https://data.cityofnewyork.us/resource/bawj-6bgn.json'],[2012,'https://data.cityofnewyork.us/resource/3qfc-4tta.json']]
brooklyn=[[2009,'https://data.cityofnewyork.us/resource/rmv8-86p4.json'],[2010,'https://data.cityofnewyork.us/resource/w6yt-hctp.json'],[2011,'https://data.cityofnewyork.us/resource/5mw2-hzqx.json'],[2012,'https://data.cityofnewyork.us/resource/bss9-579f.json']]
manhattan=[[2009,'https://data.cityofnewyork.us/resource/956m-xy24.json'],[2010,'https://data.cityofnewyork.us/resource/ad4c-mphb.json'],[2011,'https://data.cityofnewyork.us/resource/ikqj-pyhc.json'],[2012,'https://data.cityofnewyork.us/resource/dvzp-h4k9.json']]
queens=[[2009,'https://data.cityofnewyork.us/resource/m59i-mqex.json'],[2010,'https://data.cityofnewyork.us/resource/crbs-vur7.json'],[2011,'https://data.cityofnewyork.us/resource/s3zn-tf7c.json'],[2012,'https://data.cityofnewyork.us/resource/jcih-dj9q.json']]
statenIsland=[[2009,'https://data.cityofnewyork.us/resource/cyfw-hfqk.json'],[2010,'https://data.cityofnewyork.us/resource/wv4q-e75v.json'],[2011,'https://data.cityofnewyork.us/resource/a5qt-5jpu.json'],[2012,'https://data.cityofnewyork.us/resource/tkdy-59zg.json']]
featureNames=[['comparable_rental_2_market_value_per_sqft', 'Market value per square foot'],['comparable_rental_2_full_market_value', 'Full market value'],['comparable_rental_2_year_built', 'Year Built'],['comparable_rental_2_gross_income_per_sqft', 'Gross income per square foot']]
#request was a POST (get the var from the form)
#... All Boroughs are selected by default
app_xplor.vars['feat'] = request.form['feat']
app_xplor.vars['year'] = request.form['year']
#Translating name of the feature into the name in the original database
dbFeatureName = convertField(app_xplor.vars['feat'],featureNames)
#Building the queries
queryA = buildQuery(int(app_xplor.vars['year']),bronx,dbFeatureName)
queryB = buildQuery(int(app_xplor.vars['year']),brooklyn,dbFeatureName)
queryC = buildQuery(int(app_xplor.vars['year']),manhattan,dbFeatureName)
queryD = buildQuery(int(app_xplor.vars['year']),queens,dbFeatureName)
queryE = buildQuery(int(app_xplor.vars['year']),statenIsland,dbFeatureName)
#executing the queries on the tables
rawA = pd.read_json(queryA)
rawB = pd.read_json(queryB)
rawC = pd.read_json(queryC)
rawD = pd.read_json(queryD)
rawE = pd.read_json(queryE)
#Managind the data to be input for a boxplot
rawA['Borough']='Bronx'
rawB['Borough']='Brooklyn'
rawC['Borough']='Manhattan'
rawD['Borough']='Queens'
rawE['Borough']='Staten Island'
allData = pd.concat([rawA, rawB, rawC, rawD, rawE])
cleanData= allData.dropna()
cleanData.columns=[app_xplor.vars['feat'],'Borough']
#plot
defaults.width = 450
defaults.height = 350
box_plot = BoxPlot(cleanData, label='Borough',title=str(app_xplor.vars['year']))
#box_plot = BoxPlot(cleanData, label='Borough',title='Year')
output_file("templates/results.html")
show(
vplot(
hplot(box_plot)
)
)
return redirect('/goDistrib')
@app_xplor.route('/getFeat',methods=['GET','POST'])
def getFeature():
if request.method == 'GET':
return render_template('feature.html')
else:
bronx=[[2009,'https://data.cityofnewyork.us/resource/en2c-j6tw.json'],[2010,'https://data.cityofnewyork.us/resource/n2s5-fumm.json'],[2011,'https://data.cityofnewyork.us/resource/bawj-6bgn.json'],[2012,'https://data.cityofnewyork.us/resource/3qfc-4tta.json']]
brooklyn=[[2009,'https://data.cityofnewyork.us/resource/rmv8-86p4.json'],[2010,'https://data.cityofnewyork.us/resource/w6yt-hctp.json'],[2011,'https://data.cityofnewyork.us/resource/5mw2-hzqx.json'],[2012,'https://data.cityofnewyork.us/resource/bss9-579f.json']]
manhattan=[[2009,'https://data.cityofnewyork.us/resource/956m-xy24.json'],[2010,'https://data.cityofnewyork.us/resource/ad4c-mphb.json'],[2011,'https://data.cityofnewyork.us/resource/ikqj-pyhc.json'],[2012,'https://data.cityofnewyork.us/resource/dvzp-h4k9.json']]
queens=[[2009,'https://data.cityofnewyork.us/resource/m59i-mqex.json'],[2010,'https://data.cityofnewyork.us/resource/crbs-vur7.json'],[2011,'https://data.cityofnewyork.us/resource/s3zn-tf7c.json'],[2012,'https://data.cityofnewyork.us/resource/jcih-dj9q.json']]
statenIsland=[[2009,'https://data.cityofnewyork.us/resource/cyfw-hfqk.json'],[2010,'https://data.cityofnewyork.us/resource/wv4q-e75v.json'],[2011,'https://data.cityofnewyork.us/resource/a5qt-5jpu.json'],[2012,'https://data.cityofnewyork.us/resource/tkdy-59zg.json']]
featureNames=[['comparable_rental_2_market_value_per_sqft', 'Market value per square foot'],['comparable_rental_2_full_market_value', 'Full market value'],['comparable_rental_2_year_built', 'Year Built'],['comparable_rental_2_gross_income_per_sqft', 'Gross income per square foot']]
#request was a POST (get the var from the form)
#common feature
app_xplor.vars['feat'] = request.form['feat']
#groups A and B
app_xplor.vars['boA'] = request.form['boA']
app_xplor.vars['boB'] = request.form['boB']
app_xplor.vars['yA'] = request.form['yA']
app_xplor.vars['yB'] = request.form['yB']
#Translating name of the feature into the name in the original database
dbFeatureName = convertField(app_xplor.vars['feat'],featureNames)
#group A
if (app_xplor.vars['boA']=='Bronx'):
queryA = buildQuery(int(app_xplor.vars['yA']),bronx,dbFeatureName)
elif (app_xplor.vars['boA']=='Brooklyn'):
queryA = buildQuery(int(app_xplor.vars['yA']),brooklyn,dbFeatureName)
elif (app_xplor.vars['boA']=='Manhattan'):
queryA = buildQuery(int(app_xplor.vars['yA']),manhattan,dbFeatureName)
elif (app_xplor.vars['boA']=='Queens'):
queryA = buildQuery(int(app_xplor.vars['yA']),queens,dbFeatureName)
elif (app_xplor.vars['boA']=='Staten Island'):
queryA = buildQuery(int(app_xplor.vars['yA']),statenIsland,dbFeatureName)
#group B
if (app_xplor.vars['boB']=='Bronx'):
queryB = buildQuery(int(app_xplor.vars['yB']),bronx,dbFeatureName)
elif (app_xplor.vars['boB']=='Brooklyn'):
queryB = buildQuery(int(app_xplor.vars['yB']),brooklyn,dbFeatureName)
elif (app_xplor.vars['boB']=='Manhattan'):
queryB = buildQuery(int(app_xplor.vars['yB']),manhattan,dbFeatureName)
elif (app_xplor.vars['boB']=='Queens'):
queryB = buildQuery(int(app_xplor.vars['yB']),queens,dbFeatureName)
elif (app_xplor.vars['boB']=='Staten Island'):
queryB = buildQuery(int(app_xplor.vars['yB']),statenIsland,dbFeatureName)
rawA = pd.read_json(queryA)
rawB = pd.read_json(queryB)
allData = pd.concat([rawA, rawB], axis=1)
cleanData= allData.dropna()
cleanData.columns=['A','B']
#plot
defaults.width = 450
defaults.height = 350
tA=str(app_xplor.vars['boA'])+'/'+str(app_xplor.vars['yA']) + '/' + str(app_xplor.vars['feat'])
tB=str(app_xplor.vars['boB'])+'/'+str(app_xplor.vars['yB']) + '/' + str(app_xplor.vars['feat'])
histA = Histogram(cleanData['A'], title=tA)
histB = Histogram(cleanData['B'], title=tB)
output_file("templates/results.html")
show(
vplot(
hplot(histA,histB)
)
)
return redirect('/goFeat')
@app_xplor.route('/goFeat',methods=['GET','POST'])
def goFeature():
return render_template('featureResults.html')
@app_xplor.route('/goTrend',methods=['GET','POST'])
def goTrend():
return render_template('trendResults.html')
@app_xplor.route('/goDistrib',methods=['GET','POST'])
def goDistrib():
return render_template('distribResults.html')
@app_xplor.route('/results',methods=['GET','POST'])
def goResults():
return render_template('results.html')
if __name__ == "__main__":
port = int(os.environ.get("PORT", 5000))
app_xplor.run(host='0.0.0.0', port=port)