Make a graph with animation included in it.
Animation while plotting the graph it need to be interactive so for that animation also helps in interactive visualization. Function can be used by "animation_frame" and "animation_group" arguments. Make sure that we should always fix the x_range and y_range to ensure that your data remains visible throughout the animation.
import plotly.express as px
Sample_data = px.data.gapminder()
fig = px.scatter(Sample_data, x="gdpPercap", y="lifeExp", animation_frame="year", animation_group="country", size="pop", color="continent", hover_name="country", facet_col="continent", log_x=True, size_max=45, range_x=[100,100000], range_y=[25,90], )
Here in the above figure various functions been used:
X - determine the column to be plotted on X-axis.
Y - determine the column to be plotted on Y-axis.
size - will plot the data points on the graph according to the column that we have mentioned.
color - will plot the points in colored on graph according to the column that we have mentioned.
hover_name - should be a column name, here we have given "country" column which will gives the details about the data.
facet_col - values from this are used to assign marks to facetted subplots in the horizontal direction.
animation_frame - values from this are used to assign marks to animation frame.
animation_group - values from this are used to provide object-constancy across animation frames: rows with matching animation_groups will be treated as if they describe the same object in each frame.
range_x - these are list of two numbers used for overriding auto-scaling on the x-axis in cartesian coordinates.
range_y - these are list of two numbers used for overriding auto-scaling on the y-axis in cartesian coordinates.