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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}),
# TASK 1: Add a dropdown list to enable Launch Site selection
# The default select value is for ALL sites
# dcc.Dropdown(id='site-dropdown',...)
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',
searchable=True,
placeholder='Select a Launch Site',
),
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',...)
dcc.RangeSlider(
id='payload-slider',
min=min_payload,
max=max_payload,
step=1000,
marks={min_payload: str(min_payload), max_payload: str(max_payload)},
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('success-pie-chart', 'figure'),
Input('site-dropdown', 'value'))
def update_pie_chart(selected_site):
if selected_site == 'ALL':
# Show total successful launches
fig = px.pie(spacex_df, names='class', title='Success Count for All Sites')
fig.update_traces(textinfo='label+percent', pull=[0, 0.1])
else:
# Filter data for the selected site and show Success vs. Failed counts
site_data = spacex_df[spacex_df['Launch Site'] == selected_site]
fig = px.pie(site_data, names='class', title=f'Success Count for {selected_site}')
fig.update_traces(textinfo='label+percent', pull=[0, 0.1])
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('success-payload-scatter-chart', 'figure'),
[Input('site-dropdown', 'value'), Input('payload-slider', 'value')])
def update_scatter_chart(selected_site, payload_range):
min_payload, max_payload = payload_range
if selected_site == 'ALL':
# Show a scatter chart for all sites
fig = px.scatter(spacex_df, x='Payload Mass (kg)', y='class', color='Booster Version Category',
title='Payload vs. Launch Success for All Sites')
else:
# Filter data for the selected site
site_data = spacex_df[spacex_df['Launch Site'] == selected_site]
fig = px.scatter(site_data, x='Payload Mass (kg)', y='class', color='Booster Version Category',
title=f'Payload vs. Launch Success for {selected_site}')
fig.update_xaxes(range=[min_payload, max_payload])
return fig
# Run the app
if __name__ == '__main__':
app.run_server()