-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathspacex_dash_app1.py
161 lines (128 loc) · 8.24 KB
/
spacex_dash_app1.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
# Import required libraries
from json import loads
from dash_core_components.Graph import Graph
import pandas as pd
import dash
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input, Output,State
import plotly.express as px
#from dash import no_update
# 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()
site_list = ['All','CCAFS LC-40', 'VAFB SLC-4E', 'KSC LC-39A', 'CCAFS SLC-40']
# Create a dash application
app = dash.Dash(__name__)
app.config.suppress_callback_exceptions = True
# Create an app layout
app.layout = html.Div(children=[
html.H3('SpaceX Launch Records Dashboard',
style={'textAlign': 'center',
'color': '#503D36',
'backgroundColor': "white",
'font-size': 23}),
# Add a dropdown list to enable Launch Site selection
# The default select value is for ALL sites
# outer division
html.Div([
# inner division
html.Div([
# Create an division for adding dropdown helper text for report type
html.Div([
html.H3('Launching Site:',
style = {'margin-right': '2em'}),
]),
# create dropdown list or options for launch sites
dcc.Dropdown(id ='site-dropdown',
options = [{'label': i, 'value': i } for i in (site_list)
#{'label': 'All', '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',
multi=False,
placeholder = 'Select a Launching site',
searchable = True,
style = {'width':'80%','padding':'3px', 'font-size':'20px',
'text-align-last':'center'}
),
],
style={'display':'flex'}
),
]),
html.Br(),
html.Br(),
# 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.Br(),
html.Div([
html.Div([
html.H4("Payload range (Kg):",
style = {'margin-right': '2em'}),
]),
# Add a slider to select payload range
dcc.RangeSlider(id='payload-slider', min= 0, max= 10000, step= 1000,
value=[min_payload, max_payload],
marks={0: {'label': '0', 'style': {'color': '#f50'}},
2500: {'label': '2500'},
5000: {'label': '5000'},
7500:{'label': '7500'},
10000: {'label': '10000', 'style': {'color': '#f50'}}
}
),
]),
# Add a scatter chart to show the correlation between payload and launch success
html.Div(dcc.Graph(id='success-payload-scatter-chart')),
html.Br(),
html.Br(),
])
# 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'),
)
# function for pie plot
def get_graphs(site):
#check if site value passed to a function equalls to that in dataframe.
pie_data = spacex_df[spacex_df['Launch Site']== site]
if site == 'All':
pie_fig = px.pie(spacex_df, values='class', names='Launch Site',
title= "Total Success Launches by: {}".format(site) + " Sites.")
return pie_fig
else:
group_data = pie_data.groupby(['Launch Site','class']).size().reset_index(name='class count')
pie_fig = px.pie(group_data, values='class count', names='class',
title= "Total Success Launches by site: {}".format(site))
return pie_fig
# Add a callback function for `site-dropdown` and `payload-slider` as inputs, `success-payload-scatter-chart` as output
# def get_scatter(site,slider):
@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')],
)
# function for scatter plot.
def get_scatter(site,slider_range):
low,high= slider_range
low = min(spacex_df['Payload Mass (kg)'])
high = max(spacex_df['Payload Mass (kg)'])
sliding = (spacex_df['Payload Mass (kg)'] >=low) & (spacex_df['Payload Mass (kg)'] <= high)
scatter_df = spacex_df[sliding]
if site == 'All':
# scatter figure
scatter_fig = px.scatter(scatter_df,x='Payload Mass (kg)',y='class',color='Booster Version Category',
title='Correlation between Payload and Success for {}'.format(site) +' Sites.')
return scatter_fig
else:
#check if site value passed to a function equalls to that in dataframe.
scatter_data = scatter_df[scatter_df['Launch Site'] == site]
scatter_fig = px.scatter(scatter_data,x='Payload Mass (kg)',y='class',color='Booster Version Category',
title='Correlation between Payload and Success for {}'.format(site))
return scatter_fig
# Run the app
if __name__ == '__main__':
app.run_server(debug=True)