Prerequisites: Python Plotly
In this article, we will explore how to set up multiple subplots with grouped legends using Plotly in Python.
It is a useful approach to demonstrate legend for a plot as it allows to reveal a large amount of information about complex information. A legend in the plotly library basically describes the graph elements. One of the most deceptively-powerful features of Plotly data visualization is the ability for a viewer to quickly analyze a sufficient amount of information about data when pointing the cursor over the point label appears.
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
Example 1:
Here, Two stacked subplot with 3 grouped legends with the help of one of the parameters that are showlegend: True/False.
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
So 3 different grouped legend is shown.
Python3
from plotly.subplots import make_subplotsimport plotly.graph_objects as gofrom plotly import offlinefig = 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="GeeksforLazyroar - Stacked Subplots")fig.show() |
Output:
Example 2:
Here, Four stacked subplot with 4 grouped legends.
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
So 4 different grouped legend is shown.
Python3
from plotly.subplots import make_subplotsimport plotly.graph_objects as gofrom plotly import offlinefig = 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() |
Output:
