PA Designer Learn 3: Data Analysis

2. Plotting Data

Let’s now plot the data you have collected in a couple of graphs:

          • one to display raw data.
          • one to display smoothed data.

In the Data Analysis cell, call the plot_values() function, passing it a string that describes what our data is and the values and times lists that we populated in the Main Code cell.

plot_values() is a template function written for you which generates a graph given two lists of data representing values on the graph’s X and Y axes. It uses the matplotlib module imported in the Robot Setup Code cell.

Do the same using smoothed_values as our Y axis data instead of values.

# generate a graph to visualize the raw loudness data
plot_values("loudness", times, values)
plot_values(“smoothed loudness", times, smoothed_values)