Analyzing Energy counter data
Simply plotting energy counter data will not show anything other than 2 straight lines.
The energy counter gives you a running total, but what you really care about his how much energy was consumed between each measurement.
You need to calculate the difference between 2 consecutive values to see how much energy has been consumed in each interval. Creating the percentage-change from the difference allows for easier comparison and allows new insights.
pandas has already been imported as pd, and matplotlib.pyplot as plt. The DataFrame is available as df.
This exercise is part of the course
Analyzing IoT Data in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Get difference between values
____
# Plot the DataFrame
df_diff.plot()
plt.show()