5.2 Launch_Site_Dashboard.py

# Import required libraries
import pandas as pd
import dash
from dash import html
from dash import dcc
from dash.dependencies import Input, Output
import plotly.express as px

# Read the airline data into pandas dataframe
spacex_df = pd.read_csv(r"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}),
                                # TASK 1: Add a dropdown list to enable Launch Site selection
                                # 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': 'VAFB SLC-4E', 'value': 'VAFB SLC-4E'},
                                        {'label': 'KSC LC-39A', 'value': 'KSC LC-39A'},
                                        {'label': 'CCAFS SLC-40', 'value': 'CCAFS SLC-40'}
                                    ],
                                    value='ALL',
                                    placeholder='Select a Launch Site',
                                    searchable=True
                                ),
                                html.Br(),

                                # TASK 2: Add a pie chart to show the total successful launches count for all sites
                                # 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):"),
                                # TASK 3: Add a slider to select payload range
                                dcc.RangeSlider(
                                    id='payload-slider',
                                    min=0, max=10000, step=1000,
                                    marks={
                                        0: '0',
                                        2000: '2000',
                                        4000: '4000',
                                        6000: '6000',
                                        8000: '8000',
                                        10000: '10000'
                                        },
                                    value=[min_payload, max_payload]
                                ),

                                # TASK 4: Add a scatter chart to show the correlation between payload and launch success
                                html.Div(dcc.Graph(id='success-payload-scatter-chart')),
                                ])

# TASK 2:
# Add a callback function for `site-dropdown` as input, `success-pie-chart` as output
@app.callback(
    Output(component_id='success-pie-chart', component_property='figure'),
    Input(component_id='site-dropdown', component_property='value')
)
def get_pie_chart(selected_site):
    filtered_df = spacex_df
    if selected_site == 'ALL':
        fig = px.pie(
            filtered_df,
            values='class',
            names='Launch Site',
            title='Success Rate of All Launch Sites'
            )
        return fig
    else:
        filtered_df = filtered_df[filtered_df['Launch Site']==selected_site]
        success_rate = filtered_df.mean()['class']
        fig = px.pie(
            filtered_df,
            values=[success_rate, 1-success_rate],
            names=filtered_df['class'].unique(),
            title=f'Success and Failure Rate in {selected_site}'
            )
        return fig
# TASK 4:
# Add a callback function for `site-dropdown` and `payload-slider` as inputs, `success-payload-scatter-chart` as output
@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_chart(selected_site, slider_values):
    filtered_df = spacex_df
    if selected_site == 'ALL':
        filtered_df = filtered_df[
            (filtered_df['Payload Mass (kg)']>=slider_values[0]) &
            (filtered_df['Payload Mass (kg)']<=slider_values[1])
            ]
        fig = px.scatter(
            filtered_df,
            x='Payload Mass (kg)',
            y='class',
            color='Booster Version Category',
        )
        return fig
    else:
        filtered_df = filtered_df[
            (filtered_df['Launch Site']==selected_site) &
            (filtered_df['Payload Mass (kg)']>=slider_values[0]) &
            (filtered_df['Payload Mass (kg)']<=slider_values[1])
            ]
        fig = px.scatter(
            filtered_df,
            x='Payload Mass (kg)',
            y='class',
            color='Booster Version Category',
        )
        return fig

# python3.8 spacex_dash_app.py
# Run the app
if __name__ == '__main__':
    app.run_server()