# 创建 Plotly 对象 fig = px.line(data=dict(A=A, B=B, C=C), x='x', y='y', title='My Plot') 2. 绘制多行折线 在创建折线时,我们需要为每一条折线设置一个唯一的 key 来区分它们。例如,我们可以将 A 折线的 key 设置为 'A_line',B 折线的 key 设置为 'B_line',C 折线的 key 设...
Plot Multiple Lines Define x as 100 linearly spaced values between -2π and 2π. Define y1 and y2 as sine and cosine values of x. Create a line plot of both sets of data. x = linspace(-2*pi,2*pi); y1 = sin(x); y2 = cos(x); figure plot(x,y1,x,y2) fig2plotly() ...
[40, 50, 60], mode='markers+lines', name='Second Trace' ) # 将第一个子图添加到第一列 fig.add_trace(trace1, row=1, col=1) # 将第二个子图添加到第二列 fig.add_trace(trace2, row=1, col=2) # 更新图表布局(可选) fig.update_layout(title_text="Multiple Subplots Example") # ...
#Line Plot #Mean house values by bedrooms and year trace1=go.Scatter(x=df_groupby_datebr.index.values,y=df_groupby_datebr.ZHVI_1bedroom,mode="lines+markers",name="ZHVI_1bedroom",marker=dict(color='rgb(102,255,255)'),text=df_groupby_datebr['ZHVI_1bedroom'])trace2=go.Scatter(x=d...
此外,有一些类似的帖子在线上,最接近的是这个: https://community.plot.ly/t/multiple-traces-plotly-express/23360 但是,该帖子显示了如何添加散点图,而不是线条。我想绘制一条线,没有类似于示例中的add_scatter的add_line。 提前感谢任何帮助 样本代码: import plotly.express as px import pandas as pd ...
#Line Plot #Mean house values by bedrooms and year trace1 = go.Scatter( x = df_groupby_datebr.index.values, y = df_groupby_datebr.ZHVI_1bedroom, mode = "lines+markers", name = "ZHVI_1bedroom", marker = dict(color = 'rgb(102,255,255)'), ...
p = plot_ly(data = data,x = ~x,y = ~trace_1,showlegend = F) %>%add_trace(type ="scatter",mode ="markers") %>%add_trace(type ="scatter",mode ="lines") 另外,可以通过marker和line传入列表调整点线图样式,以下两种代码均可绘制图6右图所示点线图。注...
下面的代码绘制线形图: #Line Plot #Mean house values by bedrooms and year trace1 = go.Scatter( x = df_groupby_datebr.index.values, y = df_groupby_datebr.ZHVI_1bedroom, mode = "lines+markers", name = "ZHVI_1bedroom", marker = dict(color = 'rgb(102,255,255)'), text = df_...
line: 线的属性 color: 线的颜色 name: 散点图的名称 layout: 添加 axis, legend(图例), margin(旁注), paper 和 plot properties # import graph objects as "go" and import toolsimportplotly.graph_objsasgofromplotlyimporttoolsimportmatplotlib.pyplotasplt# 准备 data framesdf2016=timesData[timesData....
Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. ...