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FPL.py
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import dash
import dash_bootstrap_components as dbc
import dash_html_components as html
import dash_core_components as dcc
import dash_table
import plotly.express as px
from dash.dependencies import Input, Output
import pandas as pd
import random
import requests
import numpy as np
import matplotlib.pyplot as plt
url= 'https://fantasy.premierleague.com/api/bootstrap-static/'
r= requests.get(url)
json= r.json()
p= pd.DataFrame(json['elements']) # uploading players
#------------------------------------------ creating a list for player dropdown
p11=p[p['team_code']==3]
p11=p11.loc[:,['web_name','code']]
p11=p11.rename({'web_name': 'label', 'code': 'value'}, axis=1)
ddic_p1= p11.to_dict(orient='records')
#------------------------------------------ creating default players for the table
p1=p[p['code']==80201]
p2=p[p['code']==54694]
p1=p1.loc[:,['web_name','total_points','goals_scored','assists','clean_sheets','minutes','penalties_missed','penalties_saved','saves','yellow_cards','red_cards', 'dreamteam_count','bonus','now_cost']]
p2=p2.loc[:,['web_name','total_points','goals_scored','assists','clean_sheets','minutes','penalties_missed','penalties_saved','saves','yellow_cards','red_cards', 'dreamteam_count','bonus','now_cost']]
indd =['Player','Total points','Goals scored','Assists','Clean sheets','Minutes played','Penalities missed','Penalities saved','Saves','Yellow cards','Red cards','Team of the week','Bonus points','Current value (times 10)']
p1=p1.append(p2)
p1=p1.transpose()
p1['Categories'] = indd
p1.columns=['Player 1', 'Player 2', 'Categories']
df=p1
teams = pd.DataFrame(json['teams']) # uploading teams
#------------------------------------------ creating a list for teams dropdown
teams= teams.loc[:,['name','code']]
teams = teams.rename({'name': 'label', 'code': 'value'}, axis=1)
dic_teams= teams.to_dict(orient='records')
app = dash.Dash(__name__, suppress_callback_exceptions=True, external_stylesheets=[dbc.themes.BOOTSTRAP])
app.layout = html.Div([
dcc.Location(id='url', refresh=False),
html.Div(id='page-content')
])
SIDEBAR_STYLE = {
'position': 'fixed',
'top': 0,
'left': 0,
'bottom': 0,
'width': '16rem',
'padding': '2rem 1rem',
'background-color': '#00308f',
'color':'#f8f9fa'
}
CONTENT_STYLE = {
'margin-left': '16rem',
#'margin-right': '2rem',
'padding': '2rem 1rem',
'background-color': '#f8f9fa',
}
sidebar = html.Div(
[
html.H2('FPL Analysis', className='display-4'),
html.Hr(),
html.P(
'Number of students per education level', className='lead'
),
html.Br(),
dbc.Nav(
[
dbc.NavLink('Home', href='/', active='exact'),
dbc.NavLink('Top players', href='/top', active='exact'),
dbc.NavLink('Player comparison', href='/players', active='exact'),
dbc.NavLink('Player prediction', href='/prediction', active='exact'),
],
vertical=True,
pills=True,
),
],
style=SIDEBAR_STYLE,
)
content = html.Div(id='page-content', children=[], style=CONTENT_STYLE)
app.layout = html.Div([
dcc.Location(id='url'),
sidebar,
content
])
@app.callback(
Output('page-content', 'children'),
[Input('url', 'pathname')]
)
def render_page_content(pathname):
if pathname == '/':
return [
html.H1('Welcome to the FPL Analysis',
style={'textAlign':'center'}),
html.Hr(),
html.H4('Select the section you would like to visit',
style={'margin-top': '14%', 'textAlign':'center'}),
html.Div(
[
dbc.Button('Top players', href='/top', className='mt-4', style={'width':'30%'}, outline=True, color='secondary', size='lg'),
html.Br(),
dbc.Button('Player comparison', href='/players', className='my-2', style={'width':'30%'}, outline=True, color='secondary', size='lg'),
html.Br(),
dbc.Button('Player prediction', href='/prediction', style={'width':'30%'}, outline=True, color='secondary', size='lg'),
],
className='d-grid gap-2 d-md-block',
style={'textAlign':'center'},
),
html.H4('Currently, FPL is played by '+str(json['total_players'])+' players',
style={'margin-top': '13%', 'textAlign':'center'})
]
elif pathname == '/top':
return [
html.H1('Top 5 players',
style={'textAlign':'center'}),
html.Hr(),
html.H4('Select the category',
style={'margin-top': '3.5%', 'textAlign':'center'}),
dcc.Dropdown(id='cat',
options=[
{'label': 'Total points', 'value': 'total_points'},
{'label': 'Total goals', 'value': 'goals_scored'},
{'label': 'Total assists', 'value': 'assists'},
{'label': 'Total clean sheets', 'value': 'clean_sheets'}],
multi=False,
clearable=False,
value='total_points',
style={'width': '40%'}
),
html.Br(),
dcc.Graph(id='top_map', figure={})
]
elif pathname == '/players':
return [
html.H1('Compare players',
style={'textAlign':'center'}),
html.Hr(),
html.Div([
html.Div([
html.H4('Select first player',
style={'margin-top': '5%', 'textAlign':'center'}),
dcc.Dropdown(
id='team1',
options=dic_teams,
multi=False,
value=0
),
html.Div([
dcc.Dropdown(
id='player1',
options=ddic_p1,
value=0,
multi=False,
)
])], className='mx-auto', style={'width':'40%'}),
html.Div([
html.H4('Select second player',
style={'margin-top': '5%', 'textAlign':'center'}),
dcc.Dropdown(
id='team2',
options=dic_teams,
multi=False,
value=0
),
html.Div(
dcc.Dropdown(
id='player2',
options=ddic_p1,
value=0,
multi=False,
)
)], className='mx-auto', style={'width':'40%'})],
className='d-flex'),
html.Br(),
html.Div(
html.Div(
dash_table.DataTable(
id='table',
columns=[{'name': i, 'id': i} for i in df.columns],
data=df.to_dict('records'),
style_cell=dict(textAlign='center'),
style_header=dict(backgroundColor='paleturquoise'),
style_data=dict(backgroundColor='lavender'),
style_data_conditional=[
{
'if': {
'filter_query': '{Player 1} > {Player 2}',
'column_id': 'Player 1'
},
'color': 'red'},
{
'if': {
'filter_query': '{Player 2} > {Player 1}',
'column_id': 'Player 2'
},
'color': 'red'},
{
'if': {
'row_index': 0
},
'color': 'black'}]
),
style={'width':'50%'},
className='mx-auto'),
className='d-flex')
]
elif pathname == '/prediction':
return [
html.H1('Player prediction',
style={'textAlign':'center'}),
html.Hr(),
]
# If the user tries to reach a different page, return a 404 message
return html.Div(
dbc.Container(
[
html.H1('404: Not found', className='text-danger display-3'),
html.Hr(),
html.P(f'The pathname {pathname} was not recognised...'),
],
fluid=True,
className="py-3",
),
className="p-3 bg-light rounded-3",
)
@app.callback(
Output(component_id='top_map', component_property='figure'),
[Input(component_id='cat', component_property='value')]
)
def update_graph(option_slctd):
df=pd.DataFrame(json['elements'])
dff = df.sort_values( option_slctd, ascending=False)
dff = dff.loc[:,['web_name', option_slctd]]
names = dff.iloc[0:5, 0]
values = dff.iloc[0:5, 1]
barchart=px.bar(dff, names, values, text_auto=True)
return barchart
@app.callback(
[Output('player1', 'value'),
Output('player1', 'options')],
Input('team1', 'value')
)
def update_output(value1):
pp= pd.DataFrame(json['elements'])
p11=pp[pp['team_code']==value1]
p11=p11.loc[:,['web_name','code']]
p11=p11.rename({'web_name': 'label', 'code': 'value'}, axis=1)
dic_p1= p11.to_dict(orient='records')
if p11.shape==(0,2):
x=0
else: x=p11.iloc[0,1]
return x, dic_p1
@app.callback(
[Output('player2', 'value'),
Output('player2', 'options')],
Input('team2', 'value')
)
def update_output(value1):
p11=p[p['team_code']==value1]
p11=p11.loc[:,['web_name','code']]
p11=p11.rename({'web_name': 'label', 'code': 'value'}, axis=1)
dic_p1= p11.to_dict(orient='records')
if p11.shape==(0,2):
x=0
else: x=p11.iloc[0,1]
return x, dic_p1
@app.callback(
[Output('table','data'),
Output('table','columns')],
[Input('player1', 'value'),
Input('player2', 'value')]
)
def update_output(vp1,vp2):
if vp1==0 or vp2==0:
vp1=80201
vp2=54694
p1=p[p['code']==vp1]
p2=p[p['code']==vp2]
p1=p1.loc[:,['web_name','total_points','goals_scored','assists','clean_sheets','minutes','penalties_missed','penalties_saved','saves','yellow_cards','red_cards', 'dreamteam_count','bonus','now_cost']]
p2=p2.loc[:,['web_name','total_points','goals_scored','assists','clean_sheets','minutes','penalties_missed','penalties_saved','saves','yellow_cards','red_cards', 'dreamteam_count','bonus','now_cost']]
indd =['Name','Total points','Goals scored','Assists','Clean sheets','Minutes played','Penalities missed','Penalities saved','Saves','Yellow cards','Red cards','Team of the week','Bonus points','Current value (times 10)']
p1=p1.append(p2)
p1=p1.transpose()
p1['Categories'] = indd
p1.columns=['Player 1', 'Player 2', 'Categories']
p1=p1[['Player 1', 'Categories', 'Player 2']]
columns=[{'name': i, 'id': i} for i in p1.columns]
return p1.to_dict('records'), columns
if __name__ == '__main__':
app.run_server(debug=True)