Rainfall by season slider
The Australian Bureau of Meteorology has contracted you for some follow up work to the visualization they loved on rainfall per month in Sydney.
They would love the ability to cycle through seasons. Not as a change-between as in buttons and dropdowns, but more of a slide-between.
Sounds like the perfect job for a slider!
In this exercise, you are tasked with creating a bar chart of the rainfall data with a slider through the seasons.
You have a rain_pm DataFrame available.
This exercise is part of the course
Introduction to Data Visualization with Plotly in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create the basic figure
fig = ____
# Loop through the states
for season in ['Autumn', 'Winter', 'Spring']:
# Subset the DataFrame
df = rain_pm[rain_pm.Season == season]
# Add a trace for each season
fig.add_trace(go.____(x=df[____], y=df[____], name=____))