With the exception of property assignment, all of the figure update operations described in this section are methods that return a reference to the figure being modified. This makes it possible the chain multiple figure modification operations together into a single expression.

Here is an example of a chained expression that creates a faceted scatter plot with OLS trend lines using plotly express,adds a title using`update_layout`, disables vertical grid lines using`update_xaxes`, updates the width and dash pattern of the trend lines using`update_traces`, and then displays the figure using`show`.

Here is an example of a chained expression that creates a faceted scatter plot with OLS trend lines using plotly express,sets the title font size using`update_layout`, disables vertical grid lines using`update_xaxes`, updates the width and dash pattern of the trend lines using`update_traces`, and then displays the figure using`show`.

import plotly.expressas px

iris= px.data.iris()

(px.scatter(iris,x="sepal_width",y="sepal_length",color="species",facet_col="species",trendline='ols')

.update_layout(title_text='Iris Dataset')

(px.scatter(iris,x="sepal_width",y="sepal_length",color="species",

facet_col="species",trendline="ols",title="Iris Dataset")

.update_layout(title_font_size=24)

.update_xaxes(showgrid=False)

.update_traces(

line={'dash':'dot','width':4},