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app.py
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app.py
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import dash
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import dash_html_components as html
from dash.dependencies import Input, Output
import altair as alt
import pandas as pd
import json
app = dash.Dash(__name__, assets_folder='assets', external_stylesheets=[dbc.themes.BOOTSTRAP])
server = app.server
app.title = 'Squirrel App DSCI 532'
## add magic
def make_plot(y_axis = 'Running_or_Chasing'):
"""
Plot making function that contains four sub-functions to plot each of the 4 graphs in the app.
Parameters
----------
y_axis : character
Drop-down menu selection value for the "plot_bar_behavior" sub-function to update the behavior plot
Returns
-------
chart
The combined plot of the 4 sub-plots.
"""
# load the data
with open('data/b_json_count.json') as data_file:
b_json_count = json.load(data_file)
squirrel_b_json = alt.Data(values = b_json_count['features'])
with open('data/alt_json_count.json') as data_file:
alt_json_count = json.load(data_file)
alt_base_layer_data_count = alt.Data(values = alt_json_count['features'])
# make the plots
ph = 670
pw = 670
##################################
# PLOT MAP of SQUIRREL COUNT
##################################
def plot_map_total_count(selection):
"""
Plot the map of squirrel count.
Parameters
----------
selection : alt.selection_multi() object
selection paramter for setting up interactive multi-selection feature of the plots
Returns
-------
base_map + choropleth
Park map with squirrel count
"""
# Plot of squirrel count
base_map = alt.Chart(alt_base_layer_data_count).mark_geoshape(
stroke='black',
strokeWidth=1
).encode(
).properties(
width=pw,
height=ph
)
# Add Choropleth Layer
choropleth = (alt.Chart(alt_base_layer_data_count,
title = "Central Park Squirrel Distribution: 2018 Census")
.mark_geoshape()
.add_selection(selection)
.encode(
# SELECTION SINGLE CONDITIONS -- Color is grey if not selected
color = alt.condition(selection,
'properties.Unique_Squirrel_ID:Q',
alt.value('grey'),
title = 'Squirrel Count',
scale=alt.Scale(scheme='greens'),
legend = alt.Legend(labelFontSize = 16,
titleFontSize = 20,
tickCount = 5,
orient = "top-left", direction = "vertical")),
opacity=alt.condition(selection,
alt.value(0.8),
alt.value(0.1)),
tooltip = [alt.Tooltip('properties.sitename:N',
title="Park Region"),
alt.Tooltip('properties.Unique_Squirrel_ID:Q',
title="Squirrel Count")]
))
return(base_map + choropleth)
# Sort data by squirrel count to display sites in ascending order
sort_order = ["Mariner's Gate Plgd", 'Bernard Plgd', 'T.C.T Plgd', 'Bendheim Plgd', 'J.M.L. Plgd',
'Res. Running Track', 'P.H.F. Plgd', '110th St. Plgd', 'Heckscher Plgd', 'Cons. Garden',
'Northwest Corner', 'Reservoir SE', 'Strawberry Fields', "Frawleys' Run", 'The Great Hill',
"Nutter's Battery", 'The Met', 'Wollman Rink', 'Summit Rock', 'Pilgrim Hill', 'Wien Walk',
'Reservior NE', 'Turtle Pond Area', 'Central Park W (Z-1)', 'Carousel Area', 'E Meadow',
'Central Park W (Z-4)', 'N of the Arsenal', 'Cedar Hill', 'Cons. Gardens W.', 'Hallett Nat. Sanc.',
'Central Park W (Z-3)', 'Central Park W (Z-2)', 'Loch Ravine', 'Wallach Walk', 'Reservoir NW',
'N Meadow Rec. Ctr.', 'Ross Pinetum', 'Great Lawn', 'Central Park S.', 'Blockhouse One', 'Sheep Meadow',
'The Mall', 'N Meadow', 'The Pool', 'Bethesda Terrace', 'Hecksher Ballfields', 'The Ramble']
##########################################
# PLOT TOTAL SQUIRREL COUNT
##########################################
def plot_bar_total_count(selection):
"""
Make the bar plot of squirrel count.
Parameters
----------
selection : alt.selection_multi() object
selection paramter for setting up interactive multi-selection feature of the plots
Returns
-------
count_bar
The bar plot of squirrel count.
"""
count_bar = (alt.Chart(alt_base_layer_data_count,
title = 'Squirrel Count by Park Region')
.mark_bar()
.add_selection(selection)
.encode(
x = alt.Y('properties.Unique_Squirrel_ID:Q',
title = "Squirrel Count",
axis = alt.Axis(labelFontSize = 16,
titleFontSize = 20)),
y = alt.X('properties.sitename_short:N',
title = "Park Region",
axis = alt.Axis(labelFontSize = 14,
titleFontSize = 20),
sort = alt.EncodingSortField(field="properties.Unique_Squirrel_ID:Q", order="descending")),
color = alt.Color('properties.Unique_Squirrel_ID:Q',
scale=alt.Scale(scheme='greens')),
# SELECTION SINGLE CONDITIONS -- opacity is 0.2 if not selected
opacity = alt.condition(selection,
alt.value(1.0),
alt.value(0.2)),
tooltip = [alt.Tooltip('properties.sitename:N',
title="Park Region"),
alt.Tooltip('properties.Unique_Squirrel_ID:Q',
title="Squirrel Count")])
.properties(width = pw,
height = ph))
return(count_bar)
################################################
# PLOT DIFFERENCE in COUNT by TIME OF DAY
################################################
def plot_bar_count_diff(selection):
"""
Plot difference in squirrel count by time of day.
Parameters
----------
selection : alt.selection_multi() object
selection paramter for setting up interactive multi-selection feature of the plots
Returns
-------
area_count_shift
The bar plot of the difference in count by time of day.
"""
area_count_shift = (alt.Chart(alt_base_layer_data_count)
.mark_bar()
.add_selection(selection)
.encode(
alt.X('properties.Count_difference:Q',
title = "Count Difference (PM - AM)",
axis = alt.Axis(labelFontSize = 16,
titleFontSize = 20)),
alt.Y('properties.sitename_short:N',
axis = alt.Axis(labelFontSize = 14,
titleFontSize = 20),
title = "Park Region",
sort = sort_order
),
opacity = alt.condition(selection,
alt.value(1.0),
alt.value(0.2)),
color=alt.condition(
# If count is negative, color bar blue. If positive, red.
alt.datum['properties.Count_difference'] > 0,
alt.value("darkred"), # The positive color
alt.value("steelblue") # The negative color
),
tooltip = [alt.Tooltip('properties.sitename:N', title="Park Region"),
alt.Tooltip('properties.Count_difference:Q', title="Count difference")]
).properties(title = "Squirrel Count by Park Region: AM vs. PM",
width = pw,
height = ph))
return(area_count_shift)
###################################
# PLOT BEHAVIOR by PARK AREA
###################################
def plot_bar_behavior(selection, y_axis = y_axis):
"""
Plot user selected behavior by park area.
Parameters
----------
selection : alt.selection_multi() object
selection paramter for setting up interactive multi-selection feature of the plots
y_axis: character
Drop-down menu selection value of behavior for making the plot accordingly
Returns
-------
b_chart
The plot of the selected behavior.
"""
b_chart = (alt.Chart(squirrel_b_json)
.mark_bar(color = 'gray')
.add_selection(selection)
.encode(alt.X('properties.'+y_axis+':Q',
title = "Squirrel Count", axis = alt.Axis(labelFontSize = 18, titleFontSize = 20)),
alt.Y('properties.sitename_short:N',
title = "Park Region", axis = alt.Axis(labelFontSize = 14, titleFontSize = 20),
sort = sort_order
),
opacity = alt.condition(brush,
alt.value(1.0),
alt.value(0.2)),
tooltip = [alt.Tooltip('properties.sitename:N', title = "Park Region"),
alt.Tooltip('properties.'+y_axis+':Q', title = "Count "+y_axis.replace('_',' '))]
)
.properties(title = "Squirrel Behavior by Park Region: "+y_axis.replace('_',' '),
width = pw,
height = ph))
return b_chart
# Create selection conditions and link plots by setting resolve = 'global'
brush = alt.selection_multi(fields = ['properties.sitename_short'],
resolve='global'
)
# Render stacked plots
chart = (((plot_map_total_count(brush) | plot_bar_total_count(brush)) &
(plot_bar_behavior(brush, y_axis) | plot_bar_count_diff(brush)))
.configure_title(fontSize = 24)
.configure_view(fill = "white"))
# source (code): https://www.districtdatalabs.com/altair-choropleth-viz
return chart
## add magic
app.layout = html.Div(
children = [
html.Div(
className = "app-header",
children = [
html.Img(src='https://i.ibb.co/F78bQB2/logo-2.png', width=200) ,
]
),
html.Div(
className = "app__bodytext",
children = [
html.H1("Welcome to the Squirrel Park App!"),
html.H3('Guide your observance (or avoidance) of the famous squirrels of Central Park, New York.'),
html.P('View squirrel distribution by park region, time of the day, and behavior. ' ),
],
),
html.Div([
dbc.Row([
dbc.Col(html.Div(dbc.Alert(html.H4("Please make sure to read the following guidance before exploring the app!!"), color="danger")),
width={"size": 5, "offset": 1},),
])
]),
html.Div(
[
dbc.Row(
[
dbc.Col(html.Div(dbc.ListGroup(
[
dbc.ListGroupItem("* Direct the mouse to a region or bar on the graphs to see detailed information. "),
dbc.ListGroupItem("* Use the drop-down menu below the graphs to change the behavior displayed. "),
dbc.ListGroupItem("* Click on the map or any chart to highlight specific regions. Click any empty place in the graph to clear the selection."),
dbc.ListGroupItem("""* Hold "Shift" and click to highlight and compare multiple regions at once!"""),
]
)),
width={"size": 11, "offset": 1},),
]
),
]
),
html.Div(
className = "app__chart",
children = [
html.Iframe(
sandbox='allow-scripts',
id='plot',
height='1550',
width='2000',
style={'border-width': '0px'},
################ The magic happens here
srcDoc = make_plot().to_html()
################ The magic happens here
),
html.Div(
[
dbc.Row(
[
dbc.Col(html.Div(dbc.Alert("Interested in a certain behavior of squirrels? Select the behavior from the drop-down menu below to see where you can find more squirrels doing that! NOTE: This selection will only change the behavior plot above.", color="info")),
width={"size": 4, "offset": 1},),
dbc.Col(html.Div(dbc.Alert("Blue bar on the left means more squirrels in the morning while red bar on the right means more squirrels in the afternoon.", color="info")),
width={"size": 5, "offset": 1},),
]
),
]
),
html.Div(
className = "app__chart-dd",
children = [
html.H3('Select a Behavior:'),
dcc.Dropdown(
id='dd-chart',
# ['Running or Chasing', 'Climbing', 'Eating or Foraging', 'Vocalizing', 'Approaches Humans']
options=[
{'label': 'Running or Chasing', 'value': 'Running_or_Chasing'},
{'label': 'Climbing', 'value': 'Climbing'},
{'label': 'Eating or Foraging', 'value': 'Eating_or_Foraging'},
{'label': 'Vocalizing', 'value': 'Vocalizing'},
{'label': 'Approaches Humans', 'value': 'Approaches Humans'},
# Missing option here
],
value = 'Running_or_Chasing',
clearable = False,
style=dict(width='45%',
verticalAlign="middle",
fontSize = 18
)
)
]
)
],
),
html.Div(
className = "app__bodytext",
children = [
html.H2("Sources:"),
html.H4('Data:'),
html.A("Data of this app comes from here", href="https://data.cityofnewyork.us/Environment/2018-Central-Park-Squirrel-Census-Squirrel-Data/vfnx-vebw"),
html.H4("Images"),
html.A("Picture of the logo comes from www.trzcacak.rs", href="https://www.trzcacak.rs/myfile/full/50-509839_squirrel-black-and-white-free-squirrel-clipart-cartoon.png"),
html.H4("GitHub"),
html.A("Visit our project's GitHub repository", href="https://github.com/UBC-MDS/DSCI-532_group-203_Lab1-2"),
]
)
])
@app.callback(
dash.dependencies.Output('plot', 'srcDoc'),
[dash.dependencies.Input('dd-chart', 'value')])
def update_plot(yaxis_column_name):
'''
Takes in an xaxis_column_name and calls make_plot to update our Altair figure
'''
updated_plot = make_plot(yaxis_column_name).to_html()
return updated_plot
if __name__ == '__main__':
app.run_server(debug=True)