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app.py
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app.py
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import time
from threading import Timer
import pandas as pd
import numpy as np
from dash import Dash, html, dcc, Input, Output, callback_context
from utils import *
import plotly.graph_objects as go
import plotly.express as px
from dash.exceptions import PreventUpdate
app = Dash(
__name__
)
df = pd.read_csv('./Olympics Dataset.csv')
app.layout = html.Div(
className="container",
children = [
html.Div(
id="top-dropdown",
children = [
html.Div(
id="refresh-btn",
),
html.Div(
id="buttons-wrap",
children = [
html.Button("Summer",
id="summer-btn",
n_clicks=0),
html.Button("Winter",
id="winter-btn",
n_clicks=0)
]
)
]
),
html.Div(
id="top-sec",
children = [
html.Div(
id="left-col",
children = [
html.Div(
id="top-left-col",
),
html.Div(
id="flag-wrap",
),
html.Section(
className="country-dropdown-sec",
children = [
NamedDropdown(
name = "Select Country:",
id = "countries-dropdown",
options = [
{"label": "Canada",
"value": "Canada"},
{"label": "United States",
"value": "United States"},
{"label": "France",
"value": "France"},
{"label": "Italy",
"value": "Italy"},
{"label": "Japan",
"value": "Japan"},
{"label": "Sweden",
"value": "Sweden"},
{"label": "Russia",
"value": "Russia"},
{"label": "Great Britain",
"value": "Great Britain"},
{"label": "Germany",
"value": "Germany"},
{"label": "China",
"value": "China"},
],
clearable = False,
searchable = False,
value="Canada",
)
]
),
html.Section(
className = "year-dropdown-sec",
children = [
NamedDropdown(
name = "Select Year:",
id = "year-dropdown",
clearable = False,
searchable = False,
),
]
),
html.Section(
className="sport-dropdown-sec",
children = [
NamedDropdown(
name = "Select Sport:",
id = "event-dropdown",
clearable = False,
searchable = False,
)
]
),
]
),
html.Div(
id="graph-content",
),
]
),
html.Div(
id="right-graph-content"
),
html.Div(
id="stats-content"
),
html.Div(
id="footer",
children = [
dcc.Link(
"Source",
href="#",
id="footer-link"
),
html.P(
"Ellon Ⓒ 2022",
id="footer-copyright"
)
]
)
]
)
changes = []
@app.callback(
output = [Output('refresh-btn', 'children'),
Output('year-dropdown', 'options'),
Output('event-dropdown', 'options'),
Output('graph-content', 'children'),
Output('top-left-col', 'children')],
inputs = [Input('countries-dropdown', 'value'),
Input('year-dropdown', 'value'),
Input('event-dropdown', 'value'),
Input('summer-btn', 'n_clicks'),
Input('winter-btn', 'n_clicks')
]
)
def display_graphs(country, year, sport, sumbtn, winbtn):
country_winter = df.query('Team == "{}" and Season == "Winter"'.format(country))
country_summer = df.query('Team == "{}" and Season == "Summer"'.format(country))
win_sports = pd.Series(country_winter.Sport.unique()).sort_values(ascending=False)
win_sports_list = win_sports.tolist()
win_years = pd.Series(country_winter.Year.unique()).sort_values(ascending=False)
win_years_list = win_years.tolist()
sum_sports = pd.Series(country_summer.Sport.unique()).sort_values(ascending=False)
sum_sports_list = sum_sports.tolist()
sum_years = pd.Series(country_summer.Year.unique()).sort_values(ascending=False)
sum_years_list = sum_years.tolist()
changed = callback_context.triggered
changed_id = [p['prop_id'] for p in callback_context.triggered][0]
if 'winter-btn' in changed_id:
changes.append(changed_id)
refresh = html.Meta(httpEquiv="refresh",content="0")
elif 'summer-btn' in changed_id:
changes.append(changed_id)
refresh = html.Meta(httpEquiv="refresh",content="0")
elif 'event-dropdown' in changed_id:
changes.append(changed_id)
refresh = None
elif 'year-dropdown' in changed_id:
changes.append(changed_id)
refresh = None
else:
refresh = None
pass
if (('summer-btn.n_clicks' in changes) and 'winter-btn.n_clicks' not in changes):
kv_sports = [{"label":str(sum_sport), "value": str(sum_sport)} for sum_sport in sum_sports_list]
kv_sports.append({"label": "All", "value": "All"})
kv_years = [{"label":str(sum_year), "value": str(sum_year)} for sum_year in sum_years]
kv_years.append({"label": "All", "value": "All"})
if (country != None and year != None and sport != None):
csys = country_summer.groupby(['Sport', 'Year', 'Event', 'Sex']).count()['ID'].to_frame().reset_index()
csys = csys.rename(columns={'ID': 'Athlete Count'})
country_summer_year_sport = csys.query('Sport == "{}" and Year == {}'.format(sport, year))
main_fig = px.bar(country_summer_year_sport, x = "Event", y="Athlete Count", text="Athlete Count",
hover_data=["Athlete Count"], color="Sex",
color_discrete_map={
'M': '#DAA06D',
'F': '#F89880'
}
)
main_fig.update_layout(
title="Summer Events in {}, {}".format(sport, year),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font_family='Arial',
font = dict(size=14),
yaxis_title="Athlete count",
)
elif (country != None and year != None and sport == None):
csy = country_summer.groupby(['Event', 'Year']).count().reset_index()
csy = csy.rename(columns={'ID': 'Athlete-count'})
country_summer_year = csy.query('Year == {}'.format(year))
main_fig = px.bar(country_summer_year, x = "Event", y="Athlete-count", text = "Athlete-count",
hover_data=["Athlete-count"], color="Athlete-count", color_continuous_scale="sunset")
main_fig.update_layout(bargap=0.1,
xaxis = dict(showticklabels=False),
title="Summer Events, {}".format(year),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
)
elif (country != None and sport != None and year == None):
css = country_summer.groupby(['Event', 'Sport']).count().reset_index()
css = css.rename(columns={'ID': 'Athlete-count'})
country_summer_sp = css.query('Sport == "{}"'.format(sport))
main_fig = px.bar(country_summer_sp, x = "Event", y="Athlete-count", text="Athlete-count",
hover_data=["Athlete-count"],
color="Athlete-count", color_continuous_scale="sunset")
main_fig.update_layout(bargap=0.1,
xaxis = dict(showticklabels=False),
title_text="Summer Events, {}".format(sport),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
)
elif (country != None and year == None and sport == None):
country_summer_medals = country_summer[~country_summer['Medal'].isnull()]
country_summer_medals_count = country_summer_medals.groupby(['Year']).count()['Medal'].to_frame().reset_index()
main_fig = go.Figure(data=go.Scatter(
x = country_summer_medals_count['Year'],
y = country_summer_medals_count['Medal'],
mode='markers',
marker=dict(
size=20,
color= country_summer_medals_count['Medal'],
colorscale='Pinkyl',
showscale=True
)
))
main_fig.update_layout(
title_text="Summer Medal Count Over Time",
title_x=0.5,
title_y=0.8,
xaxis_title="Years",
yaxis_title="Medals",
legend_title="Medal Count",
font=dict(
size=14,
),
font_family='Arial',
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
else:
pass
elif (('winter-btn.n_clicks' in changes)):
changes.clear()
kv_sports = [{"label":str(win_sport), "value": str(win_sport)} for win_sport in win_sports]
kv_sports.append({"label": "All", "value": "All"})
kv_years = [{"label":str(win_year), "value": str(win_year)} for win_year in win_years]
kv_years.append({"label": "All", "value": "All"})
if (country != None and year != None and sport != None):
cwys = country_winter.groupby(['Sport', 'Year', 'Event', 'Sex']).count()['ID'].to_frame().reset_index()
cwys = cwys.rename(columns={'ID': 'Athlete Count'})
country_winter_year_sport = cwys.query('Sport == "{}" and Year == {}'.format(sport, year))
main_fig = px.bar(country_winter_year_sport, x = "Event", y="Athlete Count", text="Athlete Count",
hover_data=["Athlete Count"], color="Sex",
color_discrete_map={
'M': '#1434A4',
'F': '#088F8F'
}
)
main_fig.update_layout(
title="Winter Events in {}, {}".format(sport, year),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
yaxis_title="Athlete count",
)
elif (country != None and sport != None and year == None):
cws = country_winter.groupby(['Event', 'Sport']).count().reset_index()
cws = cws.rename(columns={'ID': 'Athlete-count'})
country_winter_sp = cws.query('Sport == "{}"'.format(sport))
main_fig = px.bar(country_winter_sp, x = "Event", y="Athlete-count", text="Athlete-count",
hover_data=["Athlete-count"],
color="Athlete-count", color_continuous_scale="teal")
main_fig.update_layout(bargap=0.1,
xaxis = dict(showticklabels=False),
title="Winter Events, {}".format(sport),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
)
elif (country != None and year != None and sport == None):
cwy = country_winter.groupby(['Event', 'Year']).count().reset_index()
cwy = cwy.rename(columns={'ID': 'Athlete-count'})
country_winter_year = cwy.query('Year == {}'.format(year))
main_fig = px.bar(country_winter_year, x = "Event", y="Athlete-count", text="Athlete-count",
hover_data=["Athlete-count"], color="Athlete-count", color_continuous_scale="teal")
main_fig.update_layout(bargap=0.1,
xaxis = dict(showticklabels=False),
title="Winter Events, {}".format(year),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
)
elif (country != None and year == None and sport == None):
country_winter_medals = country_winter[~country_winter['Medal'].isnull()]
country_winter_medals_count = country_winter_medals.groupby(['Year']).count()['Medal'].to_frame().reset_index()
main_fig = go.Figure(data=go.Scatter(
x = country_winter_medals_count['Year'],
y = country_winter_medals_count['Medal'],
mode='markers',
marker=dict(
size=20,
color= country_winter_medals_count['Medal'],
colorscale='Purp',
showscale=True
)
))
main_fig.update_layout(
title_text="Winter Medal Count Over Time",
title_x=0.5,
title_y=0.8,
xaxis_title="Years",
yaxis_title="Medals",
legend_title="Medal Count",
font=dict(
size=14,
),
font_family='Arial',
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
else:
pass
else:
kv_sports = [{"label":str(sum_sport), "value": str(sum_sport)} for sum_sport in sum_sports_list]
kv_sports.append({"label": "All", "value": "All"})
kv_years = [{"label":str(sum_year), "value": str(sum_year)} for sum_year in sum_years]
kv_years.append({"label": "All", "value": "All"})
if (changes[-1:] == ["winter-btn.n_clicks"] or ["year-dropdown.value"] or ["event-dropdown.value"]):
kv_sports = [{"label":str(win_sport), "value": str(win_sport)} for win_sport in win_sports]
kv_sports.append({"label": "All", "value": "All"})
kv_years = [{"label":str(win_year), "value": str(win_year)} for win_year in win_years]
kv_years.append({"label": "All", "value": "All"})
print('changes', changes)
if (country != None and year != None and sport != None):
cwys = country_winter.groupby(['Sport', 'Year', 'Event', 'Sex']).count()['ID'].to_frame().reset_index()
cwys = cwys.rename(columns={'ID': 'Athlete Count'})
country_winter_year_sport = cwys.query('Sport == "{}" and Year == {}'.format(sport, year))
main_fig = px.bar(country_winter_year_sport, x = "Event", y="Athlete Count", text="Athlete Count",
hover_data=["Athlete Count"], color="Sex",
color_discrete_map={
'M': '#1434A4',
'F': '#088F8F'
}
)
main_fig.update_layout(
title="Winter Events in {}, {}".format(sport, year),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
yaxis_title="Athlete count",
)
elif (country != None and year != None and sport == None):
cwy = country_winter.groupby(['Event', 'Year']).count().reset_index()
cwy = cwy.rename(columns={'ID': 'Athlete-count'})
country_winter_year = cwy.query('Year == {}'.format(year))
main_fig = px.bar(country_winter_year, x = "Event", y="Athlete-count", text="Athlete-count",
hover_data=["Athlete-count"], color="Athlete-count", color_continuous_scale="teal")
main_fig.update_layout(bargap=0.1,
xaxis = dict(showticklabels=False),
title="Winter Events, {}".format(year),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
)
elif (country != None and sport != None and year == None):
cws = country_winter.groupby(['Event', 'Sport']).count().reset_index()
cws = cws.rename(columns={'ID': 'Athlete-count'})
country_winter_sp = cws.query('Sport == "{}"'.format(sport))
main_fig = px.bar(country_winter_sp, x = "Event", y="Athlete-count", text="Athlete-count",
hover_data=["Athlete-count"],
color="Athlete-count", color_continuous_scale="teal")
main_fig.update_layout(bargap=0.1,
xaxis = dict(showticklabels=False),
title="Winter Events, {}".format(sport),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
)
else:
country_winter_medals = country_winter[~country_winter['Medal'].isnull()]
country_winter_medals_count = country_winter_medals.groupby(['Year']).count()['Medal'].to_frame().reset_index()
main_fig = go.Figure(data=go.Scatter(
x = country_winter_medals_count['Year'],
y = country_winter_medals_count['Medal'],
mode='markers',
marker=dict(
size=20,
color= country_winter_medals_count['Medal'],
colorscale='Purp',
showscale=True
)
))
main_fig.update_layout(
title_text="Winter Medal Count Over Time",
title_x=0.5,
title_y=0.8,
xaxis_title="Years",
yaxis_title="Medals",
legend_title="Medal Count",
font=dict(
size=14,
),
font_family='Arial',
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
else:
if (country != None and year != None and sport != None):
csys = country_summer.groupby(['Sport', 'Year', 'Event', 'Sex']).count()['ID'].to_frame().reset_index()
csys = csys.rename(columns={'ID': 'Athlete Count'})
country_summer_year_sport = csys.query('Sport == "{}" and Year == {}'.format(sport, year))
main_fig = px.bar(country_summer_year_sport, x = "Event", y="Athlete Count", text="Athlete Count",
hover_data=["Athlete Count"], color="Sex",
color_discrete_map={
'M': '#DAA06D',
'F': '#F89880'
}
)
main_fig.update_layout(
title="Summer Events in {}, {}".format(sport, year),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
yaxis_title="Athlete count",
)
elif (country != None and year != None and sport == None):
csy = country_summer.groupby(['Event', 'Year']).count().reset_index()
csy = csy.rename(columns={'ID': 'Athlete-count'})
country_summer_year = csy.query('Year == {}'.format(year))
main_fig = px.bar(country_summer_year, x = "Event", y="Athlete-count", text="Athlete-count",
hover_data=["Athlete-count"], color="Athlete-count", color_continuous_scale="sunset")
main_fig.update_layout(bargap=0.1,
xaxis = dict(showticklabels=False),
title="Summer Events, {}".format(year),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
)
elif (country != None and sport != None and year == None):
css = country_summer.groupby(['Event', 'Sport']).count().reset_index()
css = css.rename(columns={'ID': 'Athlete-count'})
country_summer_sp = css.query('Sport == "{}"'.format(sport))
main_fig = px.bar(country_summer_sp, x = "Event", y="Athlete-count", text="Athlete-count",
hover_data=["Athlete-count"],
color="Athlete-count", color_continuous_scale="sunset")
main_fig.update_layout(bargap=0.1,
xaxis = dict(showticklabels=False),
title="Summer Events, {}".format(sport),
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
font = dict(size=14),
font_family='Arial',
)
elif (country != None and year == None and sport == None):
country_summer_medals = country_summer[~country_summer['Medal'].isnull()]
country_summer_medals_count = country_summer_medals.groupby(['Year']).count()['Medal'].to_frame().reset_index()
main_fig = go.Figure(data=go.Scatter(
x = country_summer_medals_count['Year'],
y = country_summer_medals_count['Medal'],
mode='markers',
marker=dict(
size=20,
color= country_summer_medals_count['Medal'],
colorscale='Pinkyl',
showscale=True
)
))
main_fig.update_layout(
title_text="Summer Medal Count Over Time",
title_x=0.5,
title_y=0.8,
xaxis_title="Years",
yaxis_title="Medals",
legend_title="Medal Count",
font=dict(
size=14,
),
font_family='Arial',
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
else:
pass
return [refresh,
kv_years,
kv_sports,
html.Div(
id="graph-container",
children=dcc.Loading(
className="graph-wrapper",
children=dcc.Graph(id="graph-main", figure=main_fig),
),
),
html.H4(
country,
id="country-left-col"
)
]
@app.callback(
Output('right-graph-content', 'children'),
inputs = [Input('countries-dropdown', 'value'),
Input('year-dropdown', 'value'),
Input('event-dropdown', 'value'),
Input('summer-btn', 'n_clicks'),
Input('winter-btn', 'n_clicks')
]
)
def get_right_graphs(country, year, sport, summerbtn, winterbtn):
country_winter = df.query('Team == "{}" and Season == "Winter"'.format(country)).sort_values(by=['ID'], ascending=False)
country_summer = df.query('Team == "{}" and Season == "Summer"'.format(country)).sort_values(by=['ID'], ascending=False)
country_wint = country_winter.groupby(['Medal']).count().reset_index()
country_summ = country_summer.groupby(['Medal']).count().reset_index()
if (('summer-btn.n_clicks' in changes) and 'winter-btn.n_clicks' not in changes):
country_summer_year = country_summer.query('Year == {}'.format(year))
country_summ_year = country_summer_year.groupby(['Medal']).count().reset_index()
if (country != None and year != None):
csy = country_summer.query('Year == {}'.format(year))
v_fig = px.violin(csy, y="Height", color="Sex",
violinmode='overlay',
hover_data=country_summer.columns,
color_discrete_map={
"F": "#FFD580", "M": "#FF7518"
},
width=500, height=500,
)
v_fig.update_layout(
title="Male and Female Heights in Summer {}".format(year),
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
p_fig = px.pie(country_summ_year, values='ID', names='Medal', hole=.4, color="Medal",
color_discrete_map={
"Gold": "#FFD700", "Silver": "#c0c0c0", "Bronze": " #b08d57"
},width=600, height=600)
p_fig.update_layout(
title="Medals Won, Summer {}".format(year),
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
width=500, height=500
)
elif (country !=None and sport != None):
v_fig = px.violin(country_summer, y="Height", color="Sex",
violinmode='overlay',
hover_data=country_summer.columns,
color_discrete_map={
"F": "#FFD580", "M": "#FF7518"
},
width=500, height=500,
)
v_fig.update_layout(
title="Male and Female Heights, Summer",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
p_fig = px.pie(country_summ, values='ID', names='Medal', hole=.4, color="Medal",
color_discrete_map={
"Gold": "#FFD700", "Silver": "#c0c0c0", "Bronze": " #b08d57"
},width=600, height=600)
p_fig.update_layout(
title="Medals Won, Summer",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
width=500, height=500
)
elif (country != None and year == None and sport == None):
v_fig = px.violin(country_summer, y="Height", color="Sex",
violinmode='overlay',
hover_data=country_summer.columns,
color_discrete_map={
"F": "#FFD580", "M": "#FF7518"
},
width=500, height=500,
)
v_fig.update_layout(
title="Male and Female Heights, Summer",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
p_fig = px.pie(country_summ, values='ID', names='Medal', hole=.4, color="Medal",
color_discrete_map={
"Gold": "#FFD700", "Silver": "#c0c0c0", "Bronze": " #b08d57"
},width=600, height=600)
p_fig.update_layout(
title="Medals Won, Summer",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
width=500, height=500
)
else:
#raise ValueError("Incorrectly specified data")
pass
elif (('winter-btn.n_clicks' in changes)):
country_winter_year = country_winter.query('Year == {}'.format(year))
country_wint_year = country_winter_year.groupby(['Medal']).count().reset_index()
if (country != None and year != None):
cwy = country_winter.query('Year == {}'.format(year))
v_fig = px.violin(cwy, y="Height", color="Sex",
violinmode='overlay',
hover_data=country_winter.columns,
color_discrete_map={
"F": "#ff6fff", "M": "#c84186"
},
width=500, height=500,
)
v_fig.update_layout(
title="Male and Female Heights in Winter {}".format(year),
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
p_fig = px.pie(country_wint_year, values='ID', names='Medal', hole=.4, color="Medal",
color_discrete_map={
"Gold": "#FFD700", "Silver": "#c0c0c0", "Bronze": " #b08d57"
},width=600, height=600)
p_fig.update_layout(
title="Medals Won, Winter {}".format(year),
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
width=500, height=500
)
elif (country != None and sport != None):
v_fig = px.violin(country_winter, y="Height", color="Sex",
violinmode='overlay',
hover_data=country_winter.columns,
color_discrete_map={
"F": "#ff6fff", "M": "#c84186"
},
width=500, height=500,
)
v_fig.update_layout(
title="Male and Female Heights, Winter",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
p_fig = px.pie(country_wint, values='ID', names='Medal', hole=.4, color="Medal",
color_discrete_map={
"Gold": "#FFD700", "Silver": "#c0c0c0", "Bronze": " #b08d57"
},width=600, height=600)
p_fig.update_layout(
title="Medals Won, Winter",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
width=500, height=500
)
elif (country != None and year == None and sport == None):
v_fig = px.violin(country_winter, y="Height", color="Sex",
violinmode='overlay',
hover_data=country_winter.columns,
color_discrete_map={
"F": "#ff6fff", "M": "#c84186"
},
width=500, height=500,
)
v_fig.update_layout(
title="Male and Female Heights, Winter",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
p_fig = px.pie(country_wint, values='ID', names='Medal', hole=.4, color="Medal",
color_discrete_map={
"Gold": "#FFD700", "Silver": "#c0c0c0", "Bronze": " #b08d57"
},width=600, height=600)
p_fig.update_layout(
title="Medals Won, Winter",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
width=500, height=500
)
else:
#raise ValueError("Incorrectly specified data")
pass
else:
if (changes[-1:] == ["winter-btn.n_clicks"] or ["year-dropdown.value"] or ["event-dropdown.value"]):
country_winter_year = country_winter.query('Year == {}'.format(year))
country_wint_year = country_winter_year.groupby(['Medal']).count().reset_index()
if (country != None and year != None):
cwy = country_winter.query('Year == {}'.format(year))
v_fig = px.violin(cwy, y="Height", color="Sex",
violinmode='overlay',
hover_data=country_winter.columns,
color_discrete_map={
"F": "#ff6fff", "M": "#c84186"
},
width=500, height=500,
)
v_fig.update_layout(
title="Male and Female Heights in Winter {}".format(year),
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
p_fig = px.pie(country_wint_year, values='ID', names='Medal', hole=.4, color="Medal",
color_discrete_map={
"Gold": "#FFD700", "Silver": "#c0c0c0", "Bronze": " #b08d57"
},width=500, height=500)
p_fig.update_layout(
title="Medals Won, Winter {}".format(year),
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)',
)
elif (country != None and year != None):
v_fig = px.violin(country_winter, y="Height", color="Sex",
violinmode='overlay',
hover_data=country_winter.columns,
color_discrete_map={
"F": "#ff6fff", "M": "#c84186"
},
width=500, height=500,
)
v_fig.update_layout(
title="Male and Female Heights, Winter",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
p_fig = px.pie(country_wint, values='ID', names='Medal', hole=.4, color="Medal",
color_discrete_map={
"Gold": "#FFD700", "Silver": "#c0c0c0", "Bronze": " #b08d57"
},width=500, height=500)
p_fig.update_layout(
title="Medals Won, Winter",
font=dict(
size=14,
),
font_family='Arial',
title_x = 0.5,
paper_bgcolor='rgba(0,0,0,0)',
plot_bgcolor='rgba(0,0,0,0)'
)
elif (country != None and sport != None):