script.py

# 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

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()

app = dash.Dash(__name__)

app.layout = html.Div(children=[html.H1('SpaceX Launch Records Dashboard Cy4',
                                        style={'textAlign': 'center', 'color': '#503D36',
                                               'font-size': 40}),
                                # Task 1

                                dcc.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', 
                                    id='site-dropdown'),
                                html.Br(),
                                # Task 2

                                html.Div(dcc.Graph(id='success-pie-chart')),
                                html.Br(),

                                html.P("Payload range (kg):"),
                                # Task 3
                          	dcc.RangeSlider(id='payload-slider',
                                min=0, max=10000, step=1000,
                                marks={0: '0',
                                      10000: '10000'},
                                value=[min_payload, max_payload]),

                                # Task 4
                                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    
    if entered_site == 'ALL':
        fig = px.pie(filtered_df, values='class', 
        names='Launch Site',
        title='Total Success Launches By Site')
        return fig        
    else:
        filtered_df=spacex_df[spacex_df['Launch Site']==entered_site]
        filtered_df['One'] = 1
        fig = px.pie(filtered_df, values='One', 
        names='class',
        title='Total Success Launches By Site for'+ 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(entered_site,entered_payload):
    filtered_df = spacex_df
    if entered_site == 'ALL':
        filtered_df = spacex_df[spacex_df[ 'Payload Mass (kg)']>= entered_payload[0]][spacex_df['Payload Mass (kg)']<=entered_payload[1]]
        fig = px.scatter(filtered_df, x="Payload Mass (kg)", y="class", color="Booster Version Category")
        return fig
    else:
        filtered_df = spacex_df[spacex_df[ 'Payload Mass (kg)']>= entered_payload[0]][spacex_df['Payload Mass (kg)']<=entered_payload[1]][spacex_df['Launch Site']==entered_site]
        fig = px.scatter(filtered_df, x="Payload Mass (kg)", y="class", color="Booster Version Category")
        return fig
if __name__ == '__main__':
    app.run_server()