[Python] How to create a Plotly animation from a list of figure objects?

I have a list of Plotly figures and I want to create an animation that iterates over each figure on a button press. Similar the examples found on Intro to Animations in Python. I pretty much tried re-creating several of the examples on the page with no luck.

It seems like there should be a simple solution but I have not been able to find one. I should note that I do not want to animate the geocoded cities but rather the weather layout - i.e., mapbox_layers

Below is the code to create the list of figures:

import requests
from bs4 import BeautifulSoup
import pandas as pd
import plotly.express as px

# just some geocoded data from plotly
us_cities = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/us-cities-top-1k.csv")
# GET request to pull the datetime info
r = requests.get('https://geo.weather.gc.ca/geomet?service=WMS&version=1.3.0&request=GetCapabilities&layer=GDPS.DIAG_NW_PT1H')
# create the soup
soup = BeautifulSoup(r.text, 'xml')
# start and end dates in UTC
start, end = soup.findAll('Dimension')[0].text.split('/')[:2]
# create a date range
dates = pd.date_range(start, end, freq='1h').strftime('%Y-%m-%dT%H:%M:%SZ')[0::3]
# iterate over the dates to create the figures
figs = []
for date in dates:
fig = px.scatter_mapbox(us_cities, lat="lat", lon="lon", hover_name="City", hover_data=["State", "Population"],
color_discrete_sequence=["black"], zoom=3, height=600, center={'lat': 42.18845, 'lon':-87.81544},
title=date)

fig.update_layout(
mapbox_style="open-street-map",
mapbox_layers=[
{
"below": 'traces',
"sourcetype": "raster",
"sourceattribution": "Government of Canada",
"source": ["https://geo.weather.gc.ca/geomet/?"
"SERVICE=WMS&VERSION=1.3.0"
"&REQUEST=GetMap"
"&BBOX={bbox-epsg-3857}"
"&CRS=EPSG:3857"
"&WIDTH=1000"
"&HEIGHT=1000"
"&LAYERS=GDPS.DIAG_NW_PT1H"
"&TILED=true"
"&FORMAT=image/png"
f"&TIME={date}"
],
},
]
)

fig.update_layout(margin={"r":0,"t":50,"l":0,"b":0})
figs.append(fig)


figs[0]

figs[6]

figs[12]

Continue reading...