通过plotly.graph_objects绘图 我们主要是通过参数 legendrank 来设置顺序 。注意:plotly的版本必须在V5.0及以上 代码语言:txt AI代码解释 pip install --upgrade plotly # 升级版本 如果我们不使用legendrank参数: 代码语言:txt AI代码解释 fig = go.Figure() # 添加4个不同的轨迹
# 创建自定义帧import plotly.graph_objects as gocustom_frame = go.Frame( data=[go.Scatter(x=[1, 2, 3], y=[4, 5, 6])], name="custom_frame", # 帧名称，对应 animation_frame 的值 traces=[0] # 指定影响哪些轨迹)fig.frames = [custom_frame] # 替换所有帧 4️⃣...
import plotly.graph_objects as go 上面介绍了两种Plotly中绘图的接口: plotly_express:通常简写为px plotly.graph_objects:通常简写为go 内置数据集 在Plotly中内置了非常多的数据集,当我们导入了之后可以直接使用: 1、内置GDP数据集 gapminder = px.data.gapminder() gapminder.head() # 查看前5行数据 2、餐厅...
importplotly.graph_objectsas go 绘图的时候还是会基于两种方式来实现: plotly_express:px plotly.graph_objects:go 基于px实现柱状图 基础柱状图 模拟生成一份简单的绘图所需数据 df1 = pd.DataFrame({ "name": ["小明","小红","周明","周红","张三"], "age": [20,28,18,25,36], "score": ["150"...
Help onpackageplotly.graph_objsinplotly:NAMEplotly.graph_objsDESCRIPTIONgraph_objs===Thispackageimports definitionsforallofPlotly's graph objects.For more information,runhelp(Obj)on anyofthe following objects defined here.The reasonforthepackagegraph_objs and the module graph_objs is to provide a cle...
图例作为legend,位置在左上角 自定义图例 代码语言:javascript 代码运行次数:0 运行 AI代码解释 importplotly.graph_objectsasgo fig=go.Figure()fig.add_trace(go.Scatter(x=[1,2,3,4,5],y=[1,2,3,4,5],))fig.add_trace(go.Scatter(x=[1,2,3,4,5],y=[5,4,3,2,1],))fig.update_layout...
Help on package plotly.graph_objsinplotly: NAME plotly.graph_objs DESCRIPTION graph_objs===This package imports definitionsforall of Plotly's graph objects. For moreinformation, run help(Obj) on any of the following objects defined here. The reasonfor...
This package imports definitions for all of Plotly's graph objects. For more information, run help(Obj) on any of the following objects defined here. The reason for the package graph_objs and the module graph_objs is to provide a clearer API for users. ...
import plotly.graph_objects as goimport plotly.express as pximport pandas as pdimport numpy as npdf = px.data.tips()fig = go.Figure(go.Sunburst(labels=[ "Female", "Male", "Dinner", "Lunch", 'Dinner ', 'Lunch ', 'Fri', 'Sat', 'Sun', 'Thu', 'Fri ', 'Thu ', 'Fri ', ...
import plotly.graph_objects as go# 修改水平参数即可fig = go.Figure(go.Bar( x=[20, 14, 23], y=['giraffes', 'orangutans', 'monkeys'], orientation='h'))fig.show() 1. 箱型图 箱形图(Box-plot)又称为盒式图或箱线图,是一种用作显示一组数据分散情况资料的统计图。因形状如箱子而得名。