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Combine and resample

You'll now combine environmental data with a traffic dataset. The traffic consists of 2 columns, light_veh and heavy_veh.

  • heavy_veh represents the number of heavy vehicles like lorries or busses per hour on a road of a small city.
  • light_veh contains the number of light vehicles, like automobiles or motorbikes per hour on that road.

The environmental dataset consists of

  • temperature in degree Celsius.
  • humidity in percent.
  • sunshine duration in seconds.

Since the traffic-dataset is in 1 hour buckets, but the environmental data is in 10 minute buckets, you'll need a way to resolve this.

The data is available as environ and traffic.

This exercise is part of the course

Analyzing IoT Data in Python

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Combine the DataFrames
environ_traffic = pd.____([____], axis=____)

# Print first 5 rows
____
Edit and Run Code