Several Plotly Express functions support the creation of animated figures through the`animation_frame` and`animation_group` arguments.

Here is an example of an animated scatter plot creating using Plotly Express

Here is an example of an animated scatter plot creating using Plotly Express. Note that you should always fix the`x_range` and`y_range` to ensure that your data remains visible throughout the animation.

import plotly.expressas px

log_x=True,size_max=55,range_x=[100,100000],range_y=[25,90])

Note that you should always fix the`y_range` to ensure that your data remains visible throughout the animation.

import plotly.expressas px

gapminder= px.data.gapminder()

fig= px.bar(gapminder,x="continent",y="pop",color="continent",

animation_frame="year",animation_group="country",range_y=[0,4000000000])

fig.show()

The remainder of this section describes the low-level API for constructing animated figures manually.

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description:How to make Facet and Trellis Plots in Python with Plotly.

display_as:statistical

fig.show()

When the facet dimension has a large number of unique values, it is possible to wrap columns using the`facet_col_wrap` argument.

import plotly.expressas px

df= px.data.gapminder()

fig= px.scatter(df,x='gdpPercap',y='lifeExp',color='continent',size='pop',

facet_col='year',facet_col_wrap=4)

fig.show()

category_orders={"day": ["Thur","Fri","Sat","Sun"],"time": ["Lunch","Dinner"]})

fig.show()

By default, facet axes are linked together: zooming inside one of the facets will also zoom in the other facets. You can disable this behaviour when you use`facet_row` only, by disabling`matches` on the Y axes, or when using`facet_col` only, by disabling`matches` on the X axes. It is not recommended to use this approach when using`facet_row` and`facet_col` together, as in this case it becomes very hard to understand the labelling of axes and grid lines.

import plotly.expressas px

df= px.data.tips()

fig= px.scatter(df,x="total_bill",y="tip",color='sex',facet_row="day")

fig.update_yaxes(matches=None)

fig.show()

import plotly.expressas px

df= px.data.tips()

fig= px.scatter(df,x="total_bill",y="tip",color='sex',facet_col="day")

fig.update_xaxes(matches=None)

fig.show()

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description:How to add images to charts as background images or logos.

display_as:file_settings

order:31

permalink:python/images/

thumbnail:thumbnail/images.png

v4upgrade:true

In this page we explain how to add static, non-interactive images as background, logo or annotation images to a figure. For exploring image data in interactive charts, see the[tutorial on displaying image data](/python/imshow).

import plotly.graph_objectsas go

)

fig.update_layout(

images=[

fig.add_layout_image(

go.layout.Image(

source="https://images.plot.ly/language-icons/api-home/python-logo.png",

xref="x",

sizing="stretch",

opacity=0.5,

layer="below")

]

)

)

fig.update_layout(

images=[dict(

fig.add_layout_image(

dict(

source="https://raw.githubusercontent.com/cldougl/plot_images/add_r_img/vox.png",

xref="paper",yref="paper",

x=1,y=1.05,

sizex=0.2,sizey=0.2,

xanchor="right",yanchor="bottom"

)],

)

)

fig.add_trace(go.Scatter(x=x,y=y,name=n))

fig.update_layout(

images=[go.layout.Image(

fig.add_layout_image(

go.layout.Image(

source="https://raw.githubusercontent.com/michaelbabyn/plot_data/master/benzene.png",

xref="paper",

yref="paper",

x=0.75,

y=0.65,

sizex=0.3,

sizey=0.3,

xanchor="right",

), go.layout.Image(

))

fig.add_layout_image(go.layout.Image(

source="https://raw.githubusercontent.com/michaelbabyn/plot_data/master/naphthalene.png",

xref="paper",

yref="paper",

x=0.9,

y=0.3,

)

)

fig.update_layout_images(dict(

xref="paper",

yref="paper",

sizex=0.3,

sizey=0.3,

xanchor="right",

)

]

)

))

fig.update_layout(

)

fig.update_layout(

images=[go.layout.Image(

fig.add_layout_image(

go.layout.Image(

x=0,

sizex=img_width* scale_factor,

y=img_height* scale_factor,

opacity=1.0,

layer="below",

sizing="stretch",

source="https://raw.githubusercontent.com/michaelbabyn/plot_data/master/bridge.jpg")]

source="https://raw.githubusercontent.com/michaelbabyn/plot_data/master/bridge.jpg")

)