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])) ])