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Exercise

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.

Instructions 1/3
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  • 1

    Create a new DataFrame called df_diff that contains the difference between values in consecutive rows for all columns.

  • 2

    Downsample df into 30 minute bins, using max() and store the result in df_res to remove noise.

  • 3

    Calculate the percentage changes between consecutive rows in df_diff and store the result in df_pct.

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