使用 plotly-dash 的火箭发射场仪表板 [关闭]

Question

我试图制作一个仪表板来显示火箭发射场的数据。使用的很多代码都是骨架，我没有完成。我已经填补了我被告知的地方的空白。但是，仪表板仍未创建。我尝试制作的仪表板应该有一个饼图和一个带有下拉菜单的散点图，其中包含一起显示所有站点或单独显示站点的选项（见图）。但是，我的代码没有显示任何图表，只显示轴。请帮助我了解发生了什么。代码如下：

# 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
url="https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/datasets/spacex_launch_dash.csv"
spacex_df=pd.read_csv(url)
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',
                placeholder="Select a Launch Site here",
                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',...)
                                
                                dcc.RangeSlider(id='id',
                min=0, max=10000, step=1000,
                marks={0: '0',
                       100: '100'},
                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(entered_site):
    filtered_df = spacex_df
    if entered_site == 'ALL':
        fig = px.pie(spacex_df, values='class', 
        names='pie chart names', 
        title='title')
        return fig
    else:
        
       pie_fig=px.pie(spacex_df, values='class', names='pie chart names', title='successful flights')

    return[dcc.Graph(figure=pie_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="payload-slider", component_property="value"))
def get_scatter_plot(entered_site):
    filtered_df = spacex_df
    if entered_site == 'ALL':
        fig = px.scatter(spacex_df['Payload Mass (kg)'], 
        title='correlation between payload and success for all sites',
        color="Booster Version Category")
        return fig
    else:
        
       late_fig = px.line(spacex_df, x='Payload Mass (kg)', y='Class', color='Booster Version Category', title='correlation between payload and success for all sites')
    return late_fig

# Run the app
if __name__ == '__main__':
    app.run_server(debug=True)

Answer 1

好的，您的代码中有几个问题我会尝试一一解决， 您的第一个问题是饼图中的“名称”不是您认为的那样。我建议查看文档 plotly.com/python/pie-charts

您应该在 Dataframe spacex_df.keys() 中选择一列

Out[3]: Index(['Unnamed: 0', 'Flight Number', 'Launch Site', '任务结果', 'class', '有效载荷质量(kg)', '助推器版本', ' Booster 版本类别'], dtype='object')

第二个问题是您将有效负载滑块设置为“id”，然后尝试调用它，如果您想要两个输入，您还应该在第二个回调中使用 2 个输入，您的图表也有问题，您需要使用“颜色”作为 df 中列的名称