import plotly.graph_objects as go import numpy as np x = np.linspace(0, 10, 100) y = np...
{ 'height': '100vh', # 设置高度为视口高度 'overflowY': 'auto', # 添加垂直滚动条 'padding': '20px', # 添加内边距 'display': 'flex', # 使用 Flexbox 布局 'justifyContent': 'center', # 水平居中 'alignItems': 'center', # 垂直居中 }, children=[ dcc.Graph( id='iris-dashboard...
Copy# Tile Grid Map# Categorical data example:import pandas as pdimport plotly.graph_objects as go# Assign the name of the DataFrame column to plot:VALUES = 'Tax'# Assign the plot's title:TITLE = 'State Income Tax Status'# Assign the colors for categorical data:COLOR1 = 'pink'COLOR2 =...
importplotly.graph_objectsasgoimportpandasaspd # 生成示例数据 categories=['Speed','Reliability','Comfort','Safety','Efficiency']values=[90,60,85,70,80]# 创建雷达图 fig=go.Figure()fig.add_trace(go.Scatterpolar(r=values,theta=categories,fill='toself',name='Product A')...
import plotly.graph_objects as go import pandas as pd categories = [ '速度' , '可靠性' , '舒适度' , '安全性' , '效率' ] values = [ 90 , 60 , 85 , 70 , 80 ] fig = go.Figure() fig.add_trace(go.Scatterpolar( r=values, theta=categories, ...
import plotly.graph_objects as go import numpy as np # Generate sample data x = np.linspace(0, 10, 100) y = np.sin(x) # Create a basic line plot fig = go.Figure(data=go.Scatter(x=x, y=y, mode='lines')) # Add title and labels ...
、bar、pie、heatmap等,每个都由graph_objs函数中的各个函数返回。例如:go.scatter()返回散点跟踪。 import numpy as np import math#needed for definition of pi xpoints=np.arange(0, math.pi*2, 0.05) ypoints=np.sin(xpoints) trace0 = go.Scatter( x = xpoints, y = ypoints ) data = [...
importplotly.graph_objectsasgoimportpandasaspd# 生成示例数据categories = ['Speed','Reliability','Comfort','Safety','Efficiency'] values = [90,60,85,70,80]# 创建雷达图fig = go.Figure() fig.add_trace(go.Scatterpolar( r=values, theta=categories, ...
setTimeout(()=>{//add two tracesPlotly.addTraces(graphDiv, [{ y: [2,1,2,5,3] }, { y: [4,5,3,7,2] }], [0,2]); },5000); setTimeout(()=>{//move selected traces (at indices [1, 2]) to new indices [0, 3]Plotly.moveTraces(graphDiv, [1,2], [0,3]); ...
我试图用mtcars数据集提供一个最小的可行示例。此外，与@lucaanholt的mapply和lapply序列相比，我试图将...