如何在二维散点图中的原始轴下方添加箭头 [英] How to add arrows below the original axis in plotly 2D scatter plot

问题描述

可以按照以下示例通过 plotly 创建 2D 散点图:

解决方案

你可以使用 Plotly 的

plotly 导入将 numpy 导入为 npplotly.offline.init_notebook_mode()N = 1000数据 = [plotly.graph_objs.Scatter(x=np.random.randn(N),y=np.random.randn(N),模式 = '标记')]xstart = -2xmax = 3.5xmin = -3.5填充 = 0.05ypos = -0.1布局 = plotly.graph_objs.Layout(xaxis=dict(range=[xmin, xmax]),showlegend=假，注释=[字典(x=xmin，y=ypos,ax=xstart + 填充，ay=ypos,外部参照='x'，axref='x',yref='纸',ayref='纸',显示箭头=真，箭头=2，箭头大小=1，箭头宽度=3，箭头颜色='#0000ff',),字典(x=xmax,y=ypos,ax=xstart - 填充，ay=ypos,外部参照='x'，axref='x',yref='纸',ayref='纸',显示箭头=真，箭头=2，箭头大小=1，箭头宽度=3，箭头颜色='#ff0000',)])plotly.offline.iplot(plotly.graph_objs.Figure(data=data,布局=布局))

Creating 2D scatter plot by plotly can be done following the example from:

https://plot.ly/python/line-and-scatter/

However, is there any easy way to add arrows below the x axis?

解决方案

You could use Plotly's annotations without text.

import plotly
import numpy as np

plotly.offline.init_notebook_mode()
N = 1000

data = [plotly.graph_objs.Scatter(x=np.random.randn(N),
                                  y=np.random.randn(N),
                                  mode = 'markers'
                                 )
       ]

xstart = -2
xmax = 3.5
xmin = -3.5
padding = 0.05
ypos = -0.1

layout = plotly.graph_objs.Layout(
    xaxis=dict(range=[xmin, xmax]),
    showlegend=False,
    annotations=[
        dict(
            x=xmin,
            y=ypos,
            ax=xstart + padding,
            ay=ypos,
            xref='x',
            axref='x',
            yref='paper',
            ayref='paper',
            showarrow=True,
            arrowhead=2,
            arrowsize=1,
            arrowwidth=3,
            arrowcolor='#0000ff',
        ),
        dict(
            x=xmax,
            y=ypos,
            ax=xstart - padding,
            ay=ypos,
            xref='x',
            axref='x',
            yref='paper',
            ayref='paper',
            showarrow=True,
            arrowhead=2,
            arrowsize=1,
            arrowwidth=3,
            arrowcolor='#ff0000',
        )
    ])

plotly.offline.iplot(plotly.graph_objs.Figure(data=data, 
                                              layout=layout))

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