如何在Dash Ploly中对各种图表进行向下钻取？ [英] how to perform Drill Down operation for various graphs in Dash Plotly?

问题描述

我正在尝试在Dash Ploly中对各种图表执行向下钻取操作，但我找不到任何提供的教程或文档。

我尝试了YouTube上的一些教程和Google上的一些文档，但没有一种适当的代码方式可以真正满足我的要求。

要求是，当用户单击条形图中的条形图时，它应该在同一位置显示另一个条形图，表示内层数据。提前感谢！

推荐答案

借助CALLBACK_CONTEXT在DASH中签出此向下钻取示例。

在本例中，我只展示了一个单层向下钻取，以保持它的简单性，但只需很少的修改就可以实现多层向下钻取。 有一个后退按钮，可以返回到原来的图形。后退按钮仅显示在向下钻取的第二级，并隐藏在原始最底层。

编码：

import dash
import dash_core_components as dcc
import dash_bootstrap_components as dbc
from dash.dependencies import Input, Output
import plotly.express as px
import pandas as pd

app = dash.Dash(__name__, external_stylesheets=[dbc.themes.BOOTSTRAP])

# creating a dummy sales dataframe
product_sales = {'vendors':['VANS','VANS','VANS','VANS','NIKE','NIKE','NIKE','ADIDAS','ADIDAS','CONVERSE','CONVERSE','CONVERSE'],
                 'products': ['Tshirts','Sneakers','Caps','Clothing','Sports Outfit','Sneakers','Caps','Accessories','Bags','Sneakers','Accessories','Tshirts'],
                 'units sold': [2,15,3,8,37,13,7,4,12,7,8,2]
                 }
product_sales_df = pd.DataFrame(product_sales)

# all vendors sales pie chart
def sales_pie():
    df = product_sales_df.groupby('vendors').sum().reset_index()
    fig = px.pie(df, names='vendors',
                 values='units sold', hole=0.4)
    fig.update_layout(template='presentation', title='Sales distribution per Vendor')
    return fig

# creating app layout
app.layout = dbc.Container([
    dbc.Card([
            dbc.Button('🡠', id='back-button', outline=True, size="sm",
                        className='mt-2 ml-2 col-1', style={'display': 'none'}),
            dbc.Row(
                dcc.Graph(
                        id='graph',
                        figure=sales_pie()
                    ), justify='center'
            )
    ], className='mt-3')
])

#Callback
@app.callback(
    Output('graph', 'figure'),
    Output('back-button', 'style'), #to hide/unhide the back button
    Input('graph', 'clickData'),    #for getting the vendor name from graph
    Input('back-button', 'n_clicks')
)
def drilldown(click_data,n_clicks):

    # using callback context to check which input was fired
    ctx = dash.callback_context
    trigger_id = ctx.triggered[0]["prop_id"].split(".")[0]

    if trigger_id == 'graph':

        # get vendor name from clickData
        if click_data is not None:
            vendor = click_data['points'][0]['label']

            if vendor in product_sales_df.vendors.unique():
                # creating df for clicked vendor
                vendor_sales_df = product_sales_df[product_sales_df['vendors'] == vendor]

                # generating product sales bar graph
                fig = px.bar(vendor_sales_df, x='products',
                             y='units sold', color='products')
                fig.update_layout(title='<b>{} product sales<b>'.format(vendor),
                                  showlegend=False, template='presentation')
                return fig, {'display':'block'}     #returning the fig and unhiding the back button

            else:
                return sales_pie(), {'display': 'none'}     #hiding the back button

    else:
        return sales_pie(), {'display':'none'}

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

另请查看thread以了解更多信息。

这篇关于如何在Dash Ploly中对各种图表进行向下钻取？的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！