Reformat data
Based on the data gathered in the previous exercise, you can see that you have data for 2 different areas, area1 and area2.
To easily compare and analyze this data, you should bring each device into its own column.
To load the data, you specify your own column names, since you did not save these with the data.
After loading the data, you need to convert the timestamp. The timestamp is in milliseconds, which we need to tell to_datetime by specifying unit="ms".
You pivot the data and resample the data to 1-minute intervals since for this dataset, a more detailed analysis would not make sense.
Cet exercice fait partie du cours
Analyzing IoT Data in Python
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# Replace the timestamp with the parsed timestamp
df['ts'] = pd.____(df["ts"], ____=____)
print(df.head())