如何在Python中使用 Plotly 设置具有分组图例的多个子图？

先决条件： Python剧情

在本文中，我们将探讨如何在Python中使用 Plotly 设置具有分组图例的多个子图。

这是展示图例图例的有用方法，因为它可以揭示有关复杂信息的大量信息。 plotly 库中的图例基本上描述了图形元素。 Plotly 数据可视化最具欺骗性的强大功能之一是，当将光标指向出现的点标签时，查看者能够快速分析足够数量的数据信息。

Syntax: plotly.graph_objects.Scatter(x=data, y=data, legendgroup=str,  showlegend=bool)

Parameters:

• x: data of x-axis
• y: data of y-axis
• legendgroup: name of the legend
• showlegend: True(default)/False

示例 1：

在这里，在showlegend 参数之一的帮助下，带有 3 个分组图例的两个堆叠子图：真/假。

for row=1 , col=1 , showlegend: True
for row=1 , col=1, showlegend: True
for row=2 , col=1 , showlegend: False
for row=2 , col=1 , showlegend: True

因此显示了 3 个不同的分组图例。

Python3

from plotly.subplots import make_subplots
import plotly.graph_objects as go
from plotly import offline
 
fig = make_subplots(rows=2, cols=1)
 
fig.add_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 70],
                         name="2017", legendgroup="2017",
                         line=dict(color='blue')),
              row=1, col=1)
 
fig.add_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 60],
                         name="2018", legendgroup="2018",
                         line=dict(color='red')),
              row=1, col=1)
 
 
fig.add_trace(go.Scatter(x=[10, 20, 30], y=[20, 25, 30],
                         name="2017", legendgroup="2017",
                         line=dict(color='blue'),
                         showlegend=False
                         ),
              row=2, col=1)
 
fig.append_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 70],
                            name="2018", legendgroup="2018",
                            line=dict(color='green'),
                            showlegend=True),
                 row=2, col=1)
 
 
fig.update_layout(height=600, width=600,
                  title_text="Geeksforgeeks - Stacked Subplots")
fig.show()

输出：

示例 2：

在这里，四个堆叠的子图和 4 个分组的图例。

for row=1 , col=1 , showlegend: True
for row=1 , col=1, showlegend: True
for row=1 , col=2, showlegend: False
for row=1 , col=2 , showlegend: True
for row=2 , col=1 , showlegend: False
for row=2 , col=2 , showlegend: True

因此显示了 4 个不同的分组图例。

Python3

from plotly.subplots import make_subplots
import plotly.graph_objects as go
from plotly import offline
 
fig = make_subplots(rows=2, cols=2)
 
fig.add_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 70],
                         name="2017", legendgroup="2017",
                         line=dict(color='blue')),
              row=1, col=1)
 
fig.add_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 60],
                         name="2018", legendgroup="2018",
                         line=dict(color='red')),
              row=1, col=1)
 
 
fig.add_trace(go.Scatter(x=[10, 20, 30], y=[20, 25, 30],
                         name="2017", legendgroup="2017",
                         line=dict(color='blue'),
                         showlegend=False
                         ),
              row=1, col=2)
 
fig.append_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 70],
                            name="2018", legendgroup="2018",
                            line=dict(color='yellow'),
                            showlegend=True),
                 row=1, col=2)
 
fig.append_trace(go.Scatter(x=[20, 30, 40], y=[50, 60, 70],
                            name="2018", legendgroup="2018",
                            line=dict(color='red'),
                            showlegend=False),
                 row=2, col=1)
 
 
fig.add_trace(go.Scatter(x=[10, 20, 30], y=[20, 25, 30],
                         name="2017", legendgroup="2017",
                         line=dict(color='pink'),
                         showlegend=True
                         ),
              row=2, col=2)
 
 
fig.update_layout(height=600, width=600,
                  title_text="Stacked Subplots")
fig.show()

输出：