Consider official example for scatter plot animation
import plotly.express as px
df = px.data.gapminder()
px.scatter(df, x="gdpPercap", y="lifeExp", animation_frame="year", animation_group="country",
size="pop", color="continent", hover_name="country",
log_x=True, size_max=55, range_x=[100,100000], range_y=[25,90])
this results in a plot in which markers are getting animated. However, I want to animate the connecting lines too which is not directly possible. I tried to update mode
and marker
properties for the frames
like fig.frames.data[n].mode=markers+lines
but still no luck. Could someone let me know where I am going wrong.
Cheers, DD
If you by animate the connecting lines
means connecting, for example, all markers illustrating Asia
etc in the example above, then adding the following to your code will produce the plot below.
fig.for_each_trace(lambda t: t.update(mode = 'lines+markers'))
for fr in fig.frames:
for d in fr.data:
d.update(mode='markers+lines')
import plotly.express as px
df = px.data.gapminder()
fig = px.scatter(df, x="gdpPercap", y="lifeExp", animation_frame="year", animation_group="country",
size="pop", color="continent", hover_name="country",
log_x=True, size_max=55, range_x=[100,100000], range_y=[25,90],
# mode = 'markers+lines'
height = 600, width = 1000
)
# lineas and markers on first display
fig.for_each_trace(lambda t: t.update(mode = 'lines+markers'))
# lineas and markers on animation frames
for fr in fig.frames:
for d in fr.data:
d.update(mode='markers+lines')
fig.show()
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