def index():
# default list of countries to be available for filtering
country_codes = [['Canada', 'CAN'], ['United States', 'USA'],
['Brazil', 'BRA'], ['France', 'FRA'], ['India', 'IND'],
['Italy', 'ITA'], ['Germany', 'DEU'],
['United Kingdom', 'GBR'], ['China', 'CHN'],
['Japan', 'JPN']]
# Send the list of countries selected by the user to the website
if (request.method == 'POST') and request.form:
figures = return_figures(request.form)
countries_selected = []
for country in request.form.lists():
countries_selected.append(country[1][0])
# Get all countries after the page loaded
else:
figures = return_figures()
countries_selected = []
for country in country_codes:
countries_selected.append(country[1])
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html',
ids=ids,
figuresJSON=figuresJSON,
all_countries=country_codes,
countries_selected=countries_selected)
def index():
country_codes = [["South Sudan", "SS"], ["Liberia", "LR"], ["Yemen", "YE"],
["Malawi", "MW"], ["Niger", "NE"], ["Mozambique", "MZ"],
["Central African Republic", "CF"]]
# Parse the POST request countries list
if (request.method == 'POST') and request.form:
figures = return_figures(request.form)
countries_selected = []
for country in request.form.lists():
countries_selected.append(country[1][0])
# GET request returns all countries for initial page load
else:
figures = return_figures()
countries_selected = []
for country in country_codes:
countries_selected.append(country[1])
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html',
ids=ids,
figuresJSON=figuresJSON,
all_countries=country_codes,
countries_selected=countries_selected)
def index():
# List of countries for filter
country_codes = [('Brazil', 'BRA'), ('India', 'IND'), ('Mexico', 'MEX'),
('South Africa', 'ZAF'), ('China', 'CHN')]
# Parse the POST request countries list
if (request.method == 'POST') and request.form:
figures = return_figures(request.form)
countries_selected = []
for country in request.form.lists():
countries_selected.append(country[1][0])
# GET request returns all countries for initial page load
else:
figures = return_figures()
countries_selected = []
for country in country_codes:
countries_selected.append(country[1])
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html', ids=ids,
figuresJSON=figuresJSON,
all_countries=country_codes,
countries_selected=countries_selected)
def index():
# List of countries to use with the dropdown menu
country_codes = [('Canada', 'CAN'), ('United States', 'USA'), ('Brazil', 'BRA'), ('France', 'FRA'), ('India', 'IND'),
('Italy', 'ITA'), ('Germany', 'DEU'), ('United Kingdom', 'GBR'), ('China', 'CHN'), ('Japan', 'JPN'),
('Russia', 'RUS'), ('Turkmenistan', 'TKM')]
# Parse the POST request countries list
if (request.method == 'POST') and request.form:
figures = return_figures(request.form)
countries_selected = []
for country in request.form.lists():
countries_selected.append(country[1][0])
# GET request returns all countries for initial page load
else:
figures = return_figures()
countries_selected = []
for country in country_codes:
countries_selected.append(country[1])
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html',
ids=ids,
figuresJSON=figuresJSON,
all_countries = country_codes,
countries_selected = countries_selected)
def index():
default_county = ['United_States_of_America']
# get the dataset
dataset = get_dataset()
# prepare the map dataset
map_data = set_map_data(dataset)
five_top_countries, country_codes = get_the_top(map_data)
# to get the five top countries
five_top_countries = [country for country, code in five_top_countries]
dates = [dataset.index.min(), dataset.index.max()]
five_top_df = filter_data(dataset,
country_name=five_top_countries,
date=dates)
# to get the initial charts (map and the five top countries)
figures = return_figures(map_data, five_top_df)
# Parse the POST request country list
if (request.method == 'POST') and request.form:
# the user selected country
filter_df = filter_data(dataset,
country_name=list(request.form.values()),
date=dates)
user_selected_figure = return_figures(map_data, filter_df)
default_county = list(request.form.values())
else:
# the default user selected country chart
filter_df = filter_data(dataset,
country_name=default_county,
date=dates)
user_selected_figure = return_figures(map_data, filter_df)
# to add the default user selected charts to into figures
for figure in user_selected_figure:
figures.append(figure)
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html',
ids=ids,
figuresJSON=figuresJSON,
all_countries=country_codes,
default_county=default_county)
def PM25():
figures = return_figures('PM25')
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('PM25.html', ids=ids, figuresJSON=figuresJSON)
def index():
try:
if request.method == 'POST':
figures = return_figures(
request.form['portfolio'],
request.form['toggle']) #get values from inputs as arguments
else:
figures = return_figures()
except:
figures = return_figures()
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html', ids=ids, figuresJSON=figuresJSON)
def index():
figures = return_figures()
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template("index.html", ids=ids, figuresJSON=figuresJSON)
def index():
figures = return_figures()
# Plot ids for HTML id tag
ids = [f'figure-{i}' for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for JS in HTML template
figures_json = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html', ids=ids, figuresJSON=figures_json)
def index():
# figures info
figures = return_figures()
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html',
ids=ids,
figuresJSON=figuresJSON)
def index():
# List of countries for filter
country_codes = [
'Costa Rica', 'Panama', 'Nicaragua', 'Guatemala', 'Honduras',
'El Salvador', 'US', 'Mexico', 'Canada', 'Colombia', 'Chile',
'Argentina', 'Venezuela', 'Ecuador', 'Uruguay', 'Brazil', 'Peru',
'India', 'Italy', 'Spain', 'France', 'Germany', 'United Kingdom',
'Russia'
]
# Parse the POST request countries list
if (request.method == 'POST') and request.form:
figures = return_figures(request.form)
countries_selected = []
for country in request.form.lists():
countries_selected.append(country)
# GET request returns all countries for initial page load
else:
figures = return_figures()
countries_selected = []
for country in country_codes:
countries_selected.append(country)
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html',
ids=ids,
figuresJSON=figuresJSON,
all_countries=country_codes,
countries_selected=countries_selected)
def index():
filepath = "/app/robotapp/robot_data.csv"
df = prepare_data(filepath)
figures = return_figures(df)
# plot ids for the html id tag
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
# Convert the plotly figures to JSON for javascript in html template
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
return render_template('index.html',
ids=ids,
figuresJSON=figuresJSON)
#import plotly.graph_objs as go
# this worked instead
from plotly.graph_objs import *
import plotly.plotly as py
import re
#from sklearn.externals import joblib
import pickle
import sqlalchemy
from sqlalchemy import create_engine
from files.essential import tokenize
import wrangling_scripts.wrangle_data
from wrangling_scripts.wrangle_data import return_figures
# index webpage displays cool visuals and receives user input text for model
graphs, model, df_data = return_figures()
@app.route('/')
@app.route('/index')
def index():
'''prepare plotly graphs and layout to dump to json
for html frontend use
Args:
None
Returns:
None
'''
