def update_function(dropdown_input_value, slider_price):
# filter the dataframe
df = data_wrangling(dropdown_input_value, slider_price)
# use that dataframe in the figure
fig = px.scatter_3d(
df,
x='TSNE1',
y='TSNE2',
z='TSNE3',
color='price_category',
hover_name='name',
hover_data=['price', 'bedrooms', 'minimum_nights', 'id'],
template='plotly_dark',
opacity=0.9,
title='Visualizing airbnb locations in feature space',
labels={
'TSNE1': 'X',
'TSNE2': 'Y',
'TSNE3': 'Z'
})
return fig
from worldbankapp import app
from flask import render_template
import pandas as pd
from wrangling_scripts.wrangling import data_wrangling
import plotly.graph_objs as go
import plotly, json
data = data_wrangling()
print(data[0])
# print(data)
country = data[0][0]
x_val = data[0][1]
y_val = data[0][2]
graph_one = [
go.Scatter(x=data[0][1], y=data[0][2], mode='lines', name=country)
]
layout_one = dict(
title='Change in Hectares Arable Land <br> prt Person 1990 to 2015',
xaxis=dict(title='Year', autotick=False, tick0=1990, dtick=25),
yaxis=dict(title='Hectares'))
figures = []
figures.append(dict(data=graph_one, layout=layout_one))
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
from flask import Flask, render_template
from wrangling_scripts.wrangling import data_wrangling
from wrangling_scripts.functions.functions import sort_graph_values, make_graph_layout
import plotly.graph_objs as go
import plotly, json
# creating the dataframes
column_names = ['LanguageWorkedWith', 'LanguageDesireNextYear']
df_worked, df_desired = data_wrangling(column_names)
# creating graph_one
sorty_one, sortx_one = sort_graph_values(df_worked, 'Used in 2019')
graph_one, layout_one = make_graph_layout(sortx_one, sorty_one, 'Top 10 Most Used Languages in 2019', 'Percentage', 'Language')
# creating graph two
sorty_two, sortx_two = sort_graph_values(df_desired, 'Desired for 2020')
graph_two, layout_two = make_graph_layout(sortx_two, sorty_two, 'Top 10 Most Desired Languages for 2020', 'Percentage', 'Language')
# appending grahps and layouts
figures = []
figures.append(dict(data=graph_one, layout=layout_one))
figures.append(dict(data=graph_two, layout=layout_two))
ids = ['figure-{}'.format(i) for i, _ in enumerate(figures)]
figuresJSON = json.dumps(figures, cls=plotly.utils.PlotlyJSONEncoder)
""" routes.py - Flask route definitions
Flask requires routes to be defined to know what data to provide for a given
URL. The routes provided are relative to the base hostname of the website, and
must begin with a slash."""
from flaskapp import app
from flask import render_template
from wrangling_scripts.wrangling import data_wrangling, username
data, datapy = data_wrangling()
# The following two lines define two routes for the Flask app, one for just
# '/', which is the default route for a host, and one for '/index', which is
# a common name for the main page of a site.
#
# Both of these routes provide the exact same data - that is, whatever is
# produced by calling `index()` below.
@app.route('/')
@app.route('/index')
def index():
"""Renders the index.html template"""
# Renders the template (see the index.html template file for details). The
# additional defines at the end (table, header, username) are the variables
# handed to Jinja while it is processing the template.
return render_template('index.html', data=data, datapy=datapy)
""" routes.py - Flask route definitions
Flask requires routes to be defined to know what data to provide for a given
URL. The routes provided are relative to the base hostname of the website, and
must begin with a slash."""
from flaskapp import app
from flask import render_template
from wrangling_scripts.wrangling import data_wrangling, username
header, table = data_wrangling()
# The following two lines define two routes for the Flask app, one for just
# '/', which is the default route for a host, and one for '/index', which is
# a common name for the main page of a site.
#
# Both of these routes provide the exact same data - that is, whatever is
# produced by calling `index()` below.
@app.route('/')
@app.route('/index')
def index():
"""Renders the index.html template"""
# Renders the template (see the index.html template file for details). The
# additional defines at the end (table, header, username) are the variables
# handed to Jinja while it is processing the template.
return render_template('index.html', table=table, header=header,
username=username())
from flaskapp import app
from flask import render_template
import pandas as pd
from wrangling_scripts.wrangling import data_wrangling
data, df = data_wrangling()
print(data)
@app.route('/')
@app.route('/index')
def index():
return render_template('index.html',
tables=[df.to_html(classes='data', header="true")])
@app.route('/project-one')
def project_one():
return render_template('project_one.html')
# -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
import pandas as pd
from wrangling_scripts.wrangling import data_wrangling
from dash.dependencies import Input, Output
# get the data from backend, these are defaults
df = data_wrangling('Chelsea', 0)
# define your stylesheet
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
# this is needed for the procfile to deploy to heroku
server = app.server
# Sample markdown text
markdown_text = '''
### Select the **neighbourhood** from the dropdown
'''
app.layout = html.Div(children=[
html.H1(children='Find similar Airbnb locations in New York City'),
html.Div([dcc.Markdown(children=markdown_text)]),
html.Div([
dcc.Dropdown(id='dropdown',
options=[{
from flask import Flask, render_template
from wrangling_scripts.wrangling import data_wrangling
import plotly.graph_objs as go
import plotly, json
df_2019 = data_wrangling()
print([
x for _, x in sorted(zip(df_2019['Used in 2019'][:10], df_2019.index[:10]))
])