[英]Plotly parallel category linked brushing(cross filter) with Dash in Python
我想在 plotly 中創建一個並行類別,該類別已鏈接刷作為 plotly 的文檔。
https://plotly.com/python/parallel-categories-diagram/#parallel-categories-linked-brushing
然而,在里面,它只展示了如何在沒有情節破折號的情況下做到這一點。
如何結合 go.Pract 和 dash? 有人可以幫我弄這個嗎?
讓我自己回答這個問題,希望可以節省某人的開發時間。
跳轉到代碼之前要帶走的兩個關鍵點,
這是我的方法。
import plotly.graph_objects as go
import pandas as pd
import numpy as np
import dash
from dash import dcc
from dash import html
from dash.dependencies import Input, Output
cars_df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/imports-85.csv')
# Build figure as FigureWidget
def get_parcat_fig(selected_index, cars_df): # create function to update fig object
# Build parcats dimensions
categorical_dimensions = ['body-style', 'drive-wheels', 'fuel-type']
dimensions = [dict(values=cars_df[label], label=label) for label in categorical_dimensions]
color = np.zeros(len(cars_df), dtype='uint8')
colorscale = [[0, 'gray'], [1, 'firebrick']]
color[selected_index] = 1
fig = go.FigureWidget(
data=[go.Scatter(x=cars_df.horsepower, y=cars_df['highway-mpg'],
marker={'color': 'gray'}, mode='markers', selected={'marker': {'color': 'firebrick'}},
unselected={'marker': {'opacity': 0.3}}, selectedpoints=selected_index),
go.Parcats(
domain={'y': [0, 0.4]}, dimensions=dimensions,
line={'colorscale': colorscale, 'cmin': 0,
'cmax': 1, 'color': color, 'shape': 'hspline'})
])
fig.update_layout(
height=800, xaxis={'title': 'Horsepower'},
yaxis={'title': 'MPG', 'domain': [0.6, 1]},
dragmode='lasso', hovermode='closest')
return fig
app = dash.Dash(__name__)
app.layout = html.Div([
dcc.Graph(
id='parallel_category'
)
])
@app.callback(
Output("parallel_category", "figure"),
Input("parallel_category", "selectedData"),
Input("parallel_category", "clickData")
)
def get_fig_callback(selected_data, click_data):
ctx = dash.callback_context
if (ctx.triggered[0]['prop_id'] == "parallel_category.selectedData") \
or (ctx.triggered[0]['prop_id'] == "parallel_category.clickData"):
selected_data = [point['pointNumber'] for point in ctx.triggered[0]['value']['points']]
else:
selected_data = []
return get_parcat_fig(selected_data, cars_df)
if __name__ == '__main__':
app.run_server(debug=True)
import plotly.graph_objects as go
import pandas as pd
import numpy as np
import dash
from dash import dcc
from dash import html
from dash.dependencies import Input, Output
cars_df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/imports-85.csv')
# Build figure as FigureWidget
def get_parcat_fig(selected_index, cars_df): # create function to update fig object
# Build parcats dimensions
categorical_dimensions = ['body-style', 'drive-wheels', 'fuel-type']
dimensions = [dict(values=cars_df[label], label=label) for label in categorical_dimensions]
color = np.zeros(len(cars_df), dtype='uint8')
colorscale = [[0, 'gray'], [1, 'firebrick']]
color[selected_index] = 1
fig = go.FigureWidget(
data=[go.Scatter(x=cars_df.horsepower, y=cars_df['highway-mpg'],
marker={'color': 'gray'}, mode='markers', selected={'marker': {'color': 'firebrick'}},
unselected={'marker': {'opacity': 0.3}}, selectedpoints=selected_index),
go.Parcats(
domain={'y': [0, 0.4]}, dimensions=dimensions,
line={'colorscale': colorscale, 'cmin': 0,
'cmax': 1, 'color': color, 'shape': 'hspline'})
])
fig.update_layout(
height=800, xaxis={'title': 'Horsepower'},
yaxis={'title': 'MPG', 'domain': [0.6, 1]},
dragmode='lasso', hovermode='closest')
return fig
app = dash.Dash(__name__)
app.layout = html.Div([
dcc.Graph(
id='parallel_category'
)
])
@app.callback(
Output("parallel_category", "figure"),
Input("parallel_category", "selectedData"),
Input("parallel_category", "clickData")
)
def get_fig_callback(selected_data, click_data):
ctx = dash.callback_context
if (ctx.triggered[0]['prop_id'] == "parallel_category.selectedData") \
or (ctx.triggered[0]['prop_id'] == "parallel_category.clickData"):
selected_data = [point['pointNumber'] for point in ctx.triggered[0]['value']['points']]
else:
selected_data = []
return get_parcat_fig(selected_data, cars_df)
if __name__ == '__main__':
app.run_server(debug=True)
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