How to hide the colorbar and legend in Plotly Express?

Last Updated : 28 Nov, 2021

In this article, we will learn how to hide the colorbar and legend in plotly express.

Here we will discuss two different method for hiding color-bar and legend, using different examples to make it more clear.

Example 1:

In this example, we are hiding color-bar in Plotly Express with the help of method fig.update_coloraxes(showscale=False), by passing the showscale parameter as False.

Syntax: For color-bar:

fig.update_coloraxes(showscale=False)

fig.update(layout_coloraxis_showscale=False)

Python3

# importing packages 
import plotly.express as px 
  
# using the gapminder dataset 
data = px.data.gapminder() 
data_canada = data[data.country == 'Canada'] 
  
# plotting the bar chart 
fig = px.scatter(data_canada, x='year', y='pop', 
             hover_data=['lifeExp', 'gdpPercap'], color='lifeExp', 
             labels={'pop':'population of Canada'}, height=400, title="Geeksforgeeks") 
  
# hiding color-bar  
fig.update_coloraxes(showscale=False) 
  
fig.show()

Output:

Before hiding

After Hiding

Example 2:

In this example, we are hiding legend in Plotly Express with the help of method fig.update_traces(showlegend=False), by passing the showlegend parameter as False.

Syntax: For legend:

fig.update_traces(showlegend=False)

fig.update(layout_showlegend=False)

Python3

#importing packages 
import plotly.express as px 
  
# using medals_wide dataset 
wide_df = px.data.medals_wide() 
  
# plotting the bar chart 
fig = px.histogram(wide_df, x="nation", y=["gold", "silver", "bronze"], title="Geeksforgeeks") 
  
# hiding legend  
fig.update_traces(showlegend=False) 
  
fig.show()

Output:

Before hiding

After Hiding

Example 3:

In this Example, we are hiding legend as well as color-scale in Plotly Express at same time with the help of method fig.update(layout_showlegend=False) and fig.update(layout_coloraxis_showscale=False), by passing the parameter as False in each case.

Python3

# imports 
import plotly.express as px 
  
# using elections dataset 
df = px.data.election() 
  
# figure setup 
fig = px.scatter_ternary(df, a="Joly", b="Coderre", c="Bergeron", hover_name="district",  
    color="total", size="total", size_max=15, symbol ='Coderre', 
    color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"}, title="Geeksforgeeks"
    ) 
  
# move colorbar 
fig.update_layout(coloraxis_colorbar=dict(yanchor="top", y=1, x=0, 
                                          ticks="outside", 
                                          ticksuffix=" bills")) 
# hiding legend 
fig.update(layout_showlegend=False) 
  
# hiding color-bar 
fig.update(layout_coloraxis_showscale=False) 
  
fig.show() 