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.
Deze oefening maakt deel uit van de cursus
Analyzing IoT Data in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Get difference between values
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# Plot the DataFrame
df_diff.plot()
plt.show()