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.
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Analyzing IoT Data in Python
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# Get difference between values
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# Plot the DataFrame
df_diff.plot()
plt.show()