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lahmanMerged.py
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#Lahman Dashboard
# This dashboard is a simple Batting Statistical investigation
import pandas as pd
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import dash_table
import plotly.express as px #(need to pip install plotly==4.4.1)
import plotly.graph_objects as go
# you need to include __name__ in your Dash constructor if
# you plan to use a custom CSS or JavaScript in your Dash apps
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.LUX])
# Allows Heroku to connect to servers:
server = app.server
df = pd.read_csv("Lahman_Combined.csv")
min_year = df.yearID.min()
max_year = df.yearID.max()
#---------------------------------------------------------------
app.layout = html.Div([
html.Div([
dbc.Row([
dbc.Col([
# Page Title
html.H3("Baseball Visualizations: Lahman Database",
style={'fontSize': 32, 'margin-right': '5%', 'margin-left': '5%', 'margin-top': '2%', 'margin-bottom': '0.5%'})
]),
]),
dbc.Row([
# Range Slider Row
dbc.Col( [
html.Div([
# left edge Place Holder
]),
]),
dbc.Col( [
html.Div([
# Select Year Ranges
dcc.RangeSlider(
id='Season',
marks={
1850: {'label': '1850', 'style': {'color': '#77b0b1'}},
1860: {'label': '1860'},
1870: {'label': '1870'},
1880: {'label': '1880', 'style': {'color': '#f50'}},
1890: {'label': '1890', 'style': {'color': '#77b0b1'}},
1900: {'label': '1900'},
1910: {'label': '1910'},
1920: {'label': '1920', 'style': {'color': '#f50'}},
1930: {'label': '1930', 'style': {'color': '#77b0b1'}},
1940: {'label': '1940'},
1950: {'label': '1950'},
1960: {'label': '1960', 'style': {'color': '#f50'}},
1970: {'label': '1970', 'style': {'color': '#77b0b1'}},
1980: {'label': '1980'},
1990: {'label': '1990'},
2000: {'label': '2000'},
2010: {'label': '2010', 'style': {'color': '#f50'}},
2020: {'label': '2020'},
2030: {'label': '2030'},
2040: {'label': '2040', 'style': {'color': '#f50'}}
},
step=1,
min = min_year,
max = max_year,
value = [2018, 2020],
dots = True,
allowCross = False,
disabled = False,
pushable = 0,
updatemode = 'drag',
included = True,
vertical = False,
# verticalHeight = 900,
className = 'None',
# tooltip = {"always visible":False, "placement":'bottom'}
),
]),
], width=11),
dbc.Col( [
html.Div([
# Right edge Place Holder
]),
]),
]),
dbc.Row([
dbc.Col([
html.H6("Select X-Axis: "),
# Select 'X' Axis
html.Div([
dcc.Dropdown(
id='dropdown_X',
options=[
{'label': column, 'value': column}
for column in df.columns.unique()
],
value='G',
placeholder="X-Axis",
multi=False,
clearable=False,
),
]),
html.H6("Select Y-Axis: "),
# Select 'Y' Axis
html.Div([
dcc.Dropdown(
id='dropdown_Y',
options=[
{'label': column, 'value': column}
for column in df.columns.unique()
],
value='H',
placeholder="Y-Axis",
multi=False,
clearable=False,
),
]),
html.H6("Select Color Grouping: "),
# Select Color Grouping
html.Div([
dcc.Dropdown(
id='dropdown_Color',
options=[
{'label': column, 'value': column}
for column in df.columns.unique()
],
value='teamID',
placeholder="Color Grouping",
multi=False,
clearable=False,
),
]),
html.H6("Position Eligibility: "),
# Select Position Eligibility
html.Div([
dcc.Input(
id='input_pos_appear',
type='number',
step=1,
min=0,
max=200,
minLength=0,
maxLength=3,
value=20,
debounce=False,
placeholder='Position Eligibility',
),
]),
], style={'margin-left': '3%'}),
dbc.Col([
html.H6("Select Teams:"),
# Select Teams
html.Div([
dcc.Dropdown(
id='Team_Checkbox',
multi=True,
value = [],
placeholder="Select Teams"
),
]),
html.H6("Select Leagues: "),
# Select Leagues
html.Div([
dcc.Dropdown(
id='Lg_Checkbox',
multi=True,
value = [],
placeholder="Select Leagues"
),
]),
html.H6("Select Players: "),
# Select Players
html.Div([
dcc.Dropdown(
id='Player_Checkbox',
multi=True,
value = [],
placeholder="Select Players"
),
]),
html.H6("Select Positions: "),
# Select Positions
html.Div([
dcc.Dropdown(
id='Positions_Checkbox',
multi=True,
options=[
{'label': 'Pitcher', 'value': 'G_p'},
{'label': 'Catcher', 'value': 'G_c'},
{'label': '1st Baseman', 'value': 'G_as_1B'},
{'label': '2nd Baseman', 'value': 'G_as_2B'},
{'label': '3rd Baseman', 'value': 'G_as_3B'},
{'label': 'ShortStop', 'value': 'G_as_SS'},
{'label': 'Left Fielder', 'value': 'G_as_LF'},
{'label': 'Center Fielder', 'value': 'G_as_CF'},
{'label': 'Right Fielder', 'value': 'G_as_RF'},
{'label': 'Outfielder', 'value': 'G_as_OF'},
{'label': 'Pitch Hitter', 'value': 'G_as_PH'},
{'label': 'Pitch Runner', 'value': 'G_as_pr'},
{'label': 'Designated Hitter', 'value': 'G_as_DH'}
],
value = [],
placeholder="Select Positions"
),
]),
], style={'margin-right': '3%'}),
]),
dbc.Row([
# Pie Charts
dbc.Col([
# Pie Graphs
html.Div([
dbc.Spinner(children=[
dcc.Graph(id='sun-plot', figure={},style={'width': '130%', 'height': '130%'}),
], size="lg", color="primary", type="grow", fullscreen=False,),
dbc.Spinner(children=[
dcc.Graph(id='year_histo', figure={},style={'width': '100%', 'height': '30vh'}),
], size="lg", color="primary", type="grow", fullscreen=False,),
]),
], width=3),
# Main Scatter Plot
dbc.Col([
html.Div([
# Center Large Scatter Plot - with spinner
dbc.Spinner(children=[
dcc.Graph(id="scatter-plot", figure={},style={'width': '100%', 'height': '60vh'})
], size="lg", color="primary", type="grow", fullscreen=False,),
]),
], width=6),
# Violin Plots
dbc.Col([
html.Div([
# Right Violin Plot
dbc.Spinner(children=[
dcc.Graph(id="violin-plot", figure={},style={'width': '100%', 'height': '60vh'})
], size="lg", color="primary", type="grow", fullscreen=False,),
]),
], width=3),
]),
dbc.Row([
dbc.Col([
# BY: Years
dbc.Spinner(children=[
dcc.Graph(id='Year_Pie_graph', figure={},style={'width': '100%', 'height': '100%'}),
], size="sm", color="primary", type="grow", fullscreen=False,),
], width=3),
dbc.Col([
# BY: League
dbc.Spinner(children=[
dcc.Graph(id='Lg_Pie_graph', figure={},style={'width': '100%', 'height': '100%'}),
], size="sm", color="primary", type="grow", fullscreen=False,),
], width=3),
dbc.Col([
# BY: Teams
dbc.Spinner(children=[
dcc.Graph(id='Team_Pie_graph', figure={},style={'width': '100%', 'height': '100%'}),
], size="sm", color="primary", type="grow", fullscreen=False,),
], width=3),
dbc.Col([
# BY: Teams
dbc.Spinner(children=[
dcc.Graph(id='team_histo', figure={},style={'width': '100%', 'height': '100%'}),
], size="sm", color="primary", type="grow", fullscreen=False,),
], width=3),
]),
]),
])
#---------------------------------------------------------------
# Update dropdown Team selection list based on years selected
@app.callback(
Output("Team_Checkbox", "options"),
[Input(component_id='Season',component_property='value')],
[State("Team_Checkbox", "options")])
def dropdown_team_options(Season, options):
dff = df
# print(Season[0])
Smin = Season[0]
Smax = Season[1]
dff = dff[(dff.yearID >= Smin) & (dff.yearID <= Smax)]
teamList = dff.teamID.unique()
# print(teamList)
options = options=[
{'label': i, 'value': i}
for i in teamList]
# print(options)
return options
# Update dropdown Team selection list based on years selected
@app.callback(
Output("Lg_Checkbox", "options"),
[Input(component_id='Season',component_property='value')],
[State("Lg_Checkbox", "options")])
def dropdown_lg_options(Season, options):
dff = df
# print(Season[0])
Smin = Season[0]
Smax = Season[1]
dff = dff[(dff.yearID >= Smin) & (dff.yearID <= Smax)]
lgList = dff.lgID.unique()
options = options=[
{'label': i, 'value': i}
for i in lgList]
# print(options)
return options
@app.callback(
Output("Player_Checkbox", "options"),
[Input(component_id='Season',component_property='value'),
Input(component_id='Lg_Checkbox',component_property='value'),
Input(component_id='Team_Checkbox',component_property='value'),
Input(component_id='input_pos_appear',component_property='value'),
Input(component_id='Positions_Checkbox',component_property='value')],
[State("Player_Checkbox", "options")])
def dropdown_player_options(Season, Lg_Checkbox, Team_Checkbox, input_pos_appear, Positions_Checkbox, options):
dff = df
# print(Season[0])
Smin = Season[0]
Smax = Season[1]
dff = dff[(dff.yearID >= Smin) & (dff.yearID <= Smax)]
if Team_Checkbox == []:
dff = dff
else:
dff = dff[dff.teamID.apply(lambda x: any(item for item in Team_Checkbox if item in x))]
if Lg_Checkbox == []:
dff = dff
else:
dff = dff[dff.lgID.apply(lambda x: any(item for item in Lg_Checkbox if item in x))]
# Player Positions
if Positions_Checkbox == []:
dff = dff
else:
PositionList = pd.DataFrame() # Clear List
for i in Positions_Checkbox:
print(Positions_Checkbox)
print(i)
print(input_pos_appear)
PositionTemp = dff[ dff[i] >= input_pos_appear ]
print(PositionTemp.head())
print(PositionList.head())
PositionList = PositionList.append(PositionTemp, ignore_index=True)
print(PositionList.head())
dff = PositionList
playerList = dff.playerID.unique()
# print(teamList)
options = options=[
{'label': i, 'value': i}
for i in playerList]
# print(options)
return options
@app.callback(
Output(component_id='Year_Pie_graph', component_property='figure'),
Output(component_id='Lg_Pie_graph', component_property='figure'),
Output(component_id='Team_Pie_graph', component_property='figure'),
Output("scatter-plot", "figure"),
Output("violin-plot", "figure"),
Output("sun-plot", "figure"),
Output("team_histo", "figure"),
Output("year_histo", "figure"),
[Input(component_id='dropdown_X', component_property='value'),
Input(component_id='dropdown_Y',component_property='value'),
Input(component_id='dropdown_Color',component_property='value'),
Input(component_id='Season',component_property='value'),
Input(component_id='Player_Checkbox',component_property='value'),
Input(component_id='Lg_Checkbox',component_property='value'),
Input(component_id='Team_Checkbox',component_property='value'),
Input(component_id='input_pos_appear',component_property='value'),
Input(component_id='Positions_Checkbox',component_property='value'),]
)
def update_scatter_plot(dropdown_X,dropdown_Y,dropdown_Color,Season,Player_Checkbox,Lg_Checkbox, Team_Checkbox,input_pos_appear,Positions_Checkbox):
dff = df
Smin = Season[0]
Smax = Season[1]
dff = dff[(dff.yearID >= Smin) & (dff.yearID <= Smax)]
if Team_Checkbox == []:
dff = dff
else:
dff = dff[dff.teamID.apply(lambda x: any(item for item in Team_Checkbox if item in x))]
if Player_Checkbox == []:
dff = dff
else:
dff = dff[dff.playerID.apply(lambda x: any(item for item in Player_Checkbox if item in x))]
if Lg_Checkbox == []:
dff = dff
else:
dff = dff[dff.lgID.apply(lambda x: any(item for item in Lg_Checkbox if item in x))]
# Player Positions
if Positions_Checkbox == []:
dff = dff
else:
PositionList = pd.DataFrame() # Clear List
for i in Positions_Checkbox:
print(Positions_Checkbox)
print(i)
print(input_pos_appear)
PositionTemp = dff[ dff[i] >= input_pos_appear ]
print(PositionTemp.head())
print(PositionList.head())
PositionList = PositionList.append(PositionTemp, ignore_index=True)
print(PositionList.head())
dff = PositionList
#Pie Graphs
pieyear=px.pie(
data_frame=dff,
names=dff.yearID,
hole=.3,
)
pielg=px.pie(
data_frame=dff,
names=dff.lgID,
hole=.3,
)
pieteam=px.pie(
data_frame=dff,
names=dff.teamID,
hole=.3,
)
scatter = px.scatter(
dff, x=dropdown_X, y=dropdown_Y,
color=dropdown_Color, size=dropdown_Y,
hover_data=[dff.nameGiven, dff.playerID, dff.yearID, dff.name])
violin = px.violin(
dff, x=dropdown_Y,
color=dropdown_Color, orientation='h',
hover_data=[dff.nameGiven, dff.playerID])
sunteam=px.sunburst(dff,
path=['lgID', 'teamID'],
color='lgID'
)
# 'G_p','G_c','G_as_1B','G_as_2B','G_as_3B','G_as_SS','G_as_LF','G_as_CF','G_as_RF','G_as_OF','G_as_PH','G_as_pr','G_as_DH'
teamHisto=px.histogram(dff,
x=dff.teamID
)
yearHisto=px.histogram(dff,
x=dff.yearID,
color=dff.yearID
)
return pieyear, pielg, pieteam, scatter, violin, sunteam, teamHisto, yearHisto
if __name__ == '__main__':
app.run_server(debug=True)
# Running on http://127.0.0.1:8050/ (Press CTRL+C to quit)