Rainfall plot type buttons
You have been contacted by the Australian Bureau of Meteorology to assist them in understanding monthly rainfall.
They are unsure what plot would best visualize this data, so they are wondering if there is a way to make this part of the interactivity. They don't want subplots, as they will only need to view one plot at a time.
Your task is to create a bar plot of rainfall per month with a button that allows the user to easily change from a bar plot to a scatterplot of the same data.
A rain
DataFrame is loaded for you.
This exercise is part of the course
Introduction to Data Visualization with Plotly in Python
Exercise instructions
- Create a button for the bar plot and scatterplot using the plot
type
argument fed toargs
. - Add the buttons to the plot, setting the
direction
todown
so the buttons are on top of each other.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a bar chart
fig = px.bar(rain, x='Month', y='Rainfall')
# Create the buttons
my_buttons = [{'label': "Bar plot", 'method': "update", 'args': [{"type": "____"}]},
{'label': "scatterplot", 'method': "update", 'args': [{"type": "____", 'mode': 'markers'}]}]
# Add buttons to the plot and show
fig.update_layout({
____: [{
'type': "buttons", 'direction': ____,
'x': 1.3, 'y': 0.5,
'showactive': True, 'active': 0,
'buttons': ____}]})
fig.show()