How to hide legend with Plotly Express and Plotly in Python? Last Updated : 19 Dec, 2021 Comments Improve Suggest changes Like Article Like Report In this article, we will learn How to hide legend with Plotly Express and Plotly. Here we will discuss two different methods for hiding legend in plotly and plotly express, using two different examples for each to make it more clear. Syntax: For legend: fig.update_traces(showlegend=False)fig.update(layout_showlegend=False) Example 1: In this example, we are hiding legend in Plotly Express with the help of method fig.update_traces(showlegend=False), bypassing the show legend parameter as False. Python3 # importing packages import plotly.express as px # using the gapminder dataset df = px.data.tips() fig = px.scatter(df, x="total_bill", y="tip", color="sex", symbol="smoker", facet_col="time", labels={"sex": "Gender", "smoker": "Smokes"}) # hiding legend in pyplot express. fig.update_traces(showlegend=False) fig.show() Output: Example 2: In this example, we are hiding legend in Plotly with the help of method fig.update(layout_showlegend=False), by passing the showlegend parameter as False. Python3 import plotly.graph_objects as go # using the Figure dataset fig = go.Figure() fig.add_trace(go.Line(name="first", x=["a", "b"], y=[1,3])) fig.add_trace(go.Line(name="second", x=["a", "b"], y=[2,1])) fig.add_trace(go.Line(name="third", x=["a", "b"], y=[1,2])) fig.add_trace(go.Line(name="fourth", x=["a", "b"], y=[2,3])) # hiding legend in pyplot express. fig.update(layout_showlegend=False) fig.show() Output: Example 3: In this example, we are hiding legend in Plotly Express with the help of method fig.update_traces(showlegend=False), by passing the layout_showlegend parameter as False. Python3 import plotly.express as px # using the iris dataset df = px.data.iris() # plotting the line chart fig = px.line(df, y="sepal_width", line_dash='species', color='species') # hiding legend in pyplot express. fig.update_traces(showlegend=False) # showing the plot fig.show() Output: Comment More infoAdvertise with us Next Article How to hide legend with Plotly Express and Plotly in Python? skrg141 Follow Improve Article Tags : Python Python-Plotly Python Plotly express-class Practice Tags : python Similar Reads How to hide the colorbar and legend in Plotly Express? 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 meth 2 min read Hide legend in plotly express in Python? In this article, we will discuss how to hide legend in plotly express using Python. Dataset in use: bestsellers4 The legend appears by default when variation in one object has to be depicted with reference to the other. Legend makes it easier to read a graph since it contains descriptions for the co 1 min read Plotly - How to show legend in single-trace scatterplot with plotly express? In this article let's see how to show legend in single-trace scatterplot with plotly express. A 'trace' is the name given to each plot inside the chart. Generally in plotly legend is not visible for single trace scatter plots. Example: In the below, example packages and data are imported and a singl 1 min read How to hide axis titles in plotly express figure with facets in Python? In this article, we will learn how to hide axis titles in a plotly express figure with facets in Python. We can hide the axis by setting the axis title as blank by iterating through for loop. We are hiding the axis only for X-axis and Y-axis so we have to compare this condition in each iteration Sy 2 min read Show legend and label axes in 3D scatter plots in Python Plotly In this article, we will learn how to show legend and label axes in 3D scatter plots in Python using the Plotly library. To create a 3D scatter plot in Plotly Express, you will need to provide the data for the x, y, and z coordinates of the points you want to plot. You can also customize the appeara 3 min read Like