UnboundLocalError：赋值错误之前引用了局部变量“Auto_field”

Question

（请忽略一些日语单词）

在下面编写这些代码并得到“赋值之前引用了局部变量'Auto_field'”错误

def图表_回报_不同_国家（bq）： count_list = ['民生用电気机器', '重电机受注生产品', '产业用泛用'] field_list = ['电気冷蔵库','电気冷蔵库うち401L以上','自动车','建设业','产业用泛用电気机器计','回転・駆动机器计']

input_1 = widgets.Dropdown(options = count_list,
    value = '民生用電気機器',
    description = 'Choose a country', 
    style={'description_width': 'initial'},
    layout=Layout(width='50%', height='40px')
)

input_2 = widgets.Dropdown(options = field_list,
                          value='電気冷蔵庫',
                          description='機器')

start_time = date(2020, 4, 30)
input_3 = widgets.DatePicker(description='Choose start date', disabled=False, value=start_time)

end_time = datetime.today()
input_4 = widgets.DatePicker(description='Choose end date', disabled=False, value=end_time)

民生用電気機器_電気冷蔵庫 ={'House Appliance Refridgerator': 'JNESHQER Index'}
民生用電気機器_電気冷蔵庫うち401L以上 = {'House Appliance Refridgerator Over 401 Litre':'JNESHQRO Index'}

重電機器受注生産品_自動車 = {'Heavy Electric Equipment - Automobiles': 'JPCITOTL Index'}
重電機器受注生産品_建設業= {'Heavy Electric Equipment - Construction':'JNHECONS Index'}

産業用汎用産業用汎用電気機器計 = {'Industrial Equipment Total': 'JEESTOTL Index'}
産業用汎用回転の駆動機器計 = {'Industrial Equipment - Rotating/driving equipment meter' :'JEESMREG Index'}

        

fig = go.Figure()

#fig.update_layout(barmode = 'stack')
fig.update_traces(textfont_size=18, textangle=0, textposition ="outside", cliponaxis =False)
fig.layout.xaxis.title.text = 'Date'
fig.layout.yaxis.title.font.size=18
fig.update_layout(template ='plotly_dark',height=700)
fig.update_layout(xaxis={'side':'bottom'})
fig.update_xaxes(tickfont_size=18, tickangle=0)
fig.update_yaxes(tickfont_size=18)
fig.update_layout(xaxis=dict(showgrid=False), yaxis=dict(showgrid=False))
fig = make_subplots(specs=[[{"secondary_y": True}]])

fig_w = go.FigureWidget(fig)

    
def update_chart(evt=None):
    
    global field_0
    global data_item
    
    if input_1.value == "民生用電気機器":
        Fridge_field = 民生用電気機器_電気冷蔵庫
        Fridgebig_field = 民生用電気機器_電気冷蔵庫うち401L以上
    

    elif input_1.value == "重電機器受注生産品":
        Auto_field = 重電機器受注生産品_自動車
        Construction_field = 重電機器受注生産品_建設業
        
    else: 
        IETotal_field = 産業用汎用_産業用汎用電気機器計
        Rotating_field = 産業用汎用回の転駆動機器計
   
    
    field_0 = {
        'Refridgerator': Fridge_field ,
        'Refridgerator Larger than 401 Litre': Fridgebig_field ,
        'Automobiles equipment': Auto_field ,
        'Construction equipment': Construction_field ,
        'Industrial equipment total': IETotal_field ,
        'Rotating/driving equipment meter': Rotating_field}
    
    data_item = {'Value': bq.data.px_last(dates=bq.func.range(input_3.value, input_4.value),fill='NA',per='M')} #currency='USD'
    
    
    selected_index = field_0.get(input_2.value)
    global bql_request
    bql_request = bql.Request(list(selected_index.values()), data_item)
    df = bql.combined_df(bq.execute(bql_request))
    df.index = df.index.map(dict(zip(selected_index.values(), selected_index.keys())))
    df = df.reset_index()
    df = df.pivot(index='DATE', columns='ID', values='Value')
    df_plot = df.copy()
    df_plot.reset_index(inplace=True)
    df_plot.set_index('DATE', inplace=True)
    
    x = df_plot.index
    fig_w.data= []
   
    for i in range(len(df_plot.columns.values)):
        if i == 0:
            fig_w.add_trace(go.Scatter(name= df_plot.columns.values[0], x= x, y= df_plot[df_plot.columns.values[0]], mode='lines',  yaxis='y1'), secondary_y=False)
            
        else:
            try:
                fig_w.add_trace(go.Scatter(name=df_plot.columns.values[i], x= x, y= df_plot[df_plot.columns.values[i]], mode='lines', yaxis='y2'), secondary_y=True)
                # fig_w.set_ylabel('Others', color = 'r')
            except:
                pass
    y_label1  =  df_plot.columns.values[0] + ' Scale'  
    y_label2 = 'Others'
    fig_w.update_layout(yaxis = dict(title = y_label1), yaxis2 = dict(title = y_label2))
                        
    fig_w.layout.xaxis.title.text = 'Date'
    
    fig_w.update_xaxes(tickangle=45)
    fig_w.update_layout(template='plotly_dark', height=700, font_family="Arial", legend_font_size=16, font=dict(
        family="Arial",
        size=18, ))
    fig_w.update_layout(xaxis=dict(tickvals=x))
    fig_w.for_each_xaxis(lambda x: x.update(showgrid=False))
    fig_w.for_each_yaxis(lambda x: x.update(showgrid=False))

update_chart()

input_1.observe(update_chart, names='value', type='change')
input_2.observe(update_chart, names='value', type='change')
input_3.observe(update_chart, names='value', type='change')
input_4.observe(update_chart, names='value', type='change')
bql_request =[str(bql.Request(list(field_0.get('Refridgerator').values()), data_item)),
             str(bql.Request(list(field_0.get('Refridgerator Larger than 401 Litre').values()), data_item)),
             str(bql.Request(list(field_0.get('Automobiles equipment').values()), data_item)), str(bql.Request(list(field_0.get('Construction equipment').values()), data_item)), str(bql.Request(list(field_0.get('Industrial equipment total').values()), data_item)),
            str(bql.Request(list(field_0.get('Rotating/driving equipment meter').values()), data_item))]
return {'Chart': widgets.VBox([input_1, input_2, input_3, input_4, fig_w]), 'BQL Query': '\n'.join(bql_request)}

chart_returns_ different_country(bq)['图表']

如何解决？非常感谢欣赏

其实我不知道该怎么办

Answer 1

Auto_field

仅在

input_1.value = "重電機器受注生産品"

时定义，但在所有情况下都会由

field_0

调用，因此如果

input1.value

具有不同的值，Python将不知道您需要什么变量。当

input_1.value = "民生用電気機器"

时，您会遇到这种情况，但是考虑到

field_0

的定义方式，由于未定义不同的变量，您在所有情况下都会遇到错误。 对其他情况进行类似的更改，但最简单的处理方式是这种情况。不确定它是否会导致错误。

    if input_1.value == "民生用電気機器":
        field_0 = {
            'Refridgerator': 民生用電気機器_電気冷蔵庫 ,
            'Refridgerator Larger than 401 Litre': 民生用電気機器_電気冷蔵庫うち401L以上}