Store data
After consuming an API endpoint, it's often desirable to store the data to disk.
Some of the reasons we might want to store data are:
- archive reproducible results
- train ML Models
You will now consume the same api as you did in previous exercises, but this time you will store the data in both JSON and CSV format.
After running this code (not via submit Answer) you can also verify the data you saved using !head filename.
URL has been defined for you.
This exercise is part of the course
Analyzing IoT Data in Python
Exercise instructions
- Load json data from
URLand store it in the variabledf. - Store the data in JSON format as file
"temperature.json", using"records"orientation. - Store
df_tempwith the filename"temperature.csv"as CSV without index.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import pandas
import pandas as pd
# Load URL to DataFrame
df_temp = ____
# Save DataFrame as json
df_temp.____(____, ____=____)
# Save DataFrame as csv without index
df_temp.____(____, ____=____)