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spacex_dash_app.py
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spacex_dash_app.py
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# Import required libraries
import pandas as pd
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output
import plotly.express as px
# Read the airline data into pandas dataframe
spacex_df = pd.read_csv("spacex_launch_dash.csv")
max_payload = spacex_df['Payload Mass (kg)'].max()
min_payload = spacex_df['Payload Mass (kg)'].min()
# Create a dash application
app = dash.Dash(__name__)
# Create an app layout
app.layout = html.Div(children=[html.H1('SpaceX Launch Records Dashboard',
style={'textAlign': 'center', 'color': '#503D36',
'font-size': 40}),
# The default select value is for ALL sites
dcc.Dropdown(id='site-dropdown',options=[{'label':'All Sites','value':'ALL'},
{'label':'CCAFS LC-40','value':'CCAFS LC-40'},
{'label':'CCAFS SLC-40','value':'CCAFS SLC-40'},
{'label':'KSC LC-39A','value':'KSC LC-39A'},
{'label':'VAFB SLC-4E','value':'VAFB SLC-4E'}],
value = 'ALL',
placeholder='Select a Launch Site here',
searchable=True),
html.Br(),
# If a specific launch site was selected, show the Success vs. Failed counts for the site
html.Div(dcc.Graph(id='success-pie-chart')),
html.Br(),
html.P("Payload range (Kg):"),
dcc.RangeSlider(id='payload-slider',
min=0,max=10000,step=1000,
value=[min_payload,max_payload],
marks={0: '0', 2500:'2500',5000:'5000',
7500:'7500', 10000: '10000'}),
html.Div(dcc.Graph(id='success-payload-scatter-chart')),
])
@app.callback(Output(component_id='success-pie-chart',component_property='figure'),
Input(component_id='site-dropdown',component_property='value'))
def get_pie_chart(entered_site):
filtered_df = spacex_df[['Launch Site', 'class']]
if(entered_site == 'ALL'):
fig = px.pie(filtered_df,values='class',names='Launch Site',title='Pie Chart for Launch site')
return fig
else:
data1 = filtered_df[filtered_df['Launch Site']==str(entered_site)]
data1 = data1[['class']]
fig = px.pie(data1,names='class',title = 'Pie chart for '+str(entered_site))
return fig
@app.callback(Output(component_id='success-payload-scatter-chart',component_property='figure'),
[Input(component_id='site-dropdown',component_property='value'),
Input(component_id='payload-slider',component_property='value')]
)
def get_scatter_plot_chart(entered_site,payload_slider):
if(entered_site=='ALL'):
filtered_data = spacex_df[(spacex_df['Payload Mass (kg)']>=payload_slider[0])
&(spacex_df['Payload Mass (kg)']<=payload_slider[1])]
fig = px.scatter(filtered_data,x='Payload Mass (kg)',y='class',color='Booster Version')
return fig
else:
data2 = spacex_df[(spacex_df['Launch Site']==entered_site)]
filtered_data = data2[(data2['Payload Mass (kg)']>=payload_slider[0])
&(data2['Payload Mass (kg)']<=payload_slider[1])]
fig = px.scatter(filtered_data,x='Payload Mass (kg)',y='class',color='Booster Version')
return fig
# Run the app
if __name__ == '__main__':
app.run_server()