Dask arrays from Zarr datasets
You are tasked with analyzing European temperatures, and are given the same dataset which was in era_eu.hdf but this time in Zarr format. Zarr is a modern, powerful dataset format for storing chunked data. It is particularly good for use on cloud computing services but is also great on your own computer.
dask.array has been imported for you as da.
Diese Übung ist Teil des Kurses
Parallel Programming with Dask in Python
Anleitung zur Übung
- Using the
from_zarr()function from thedask.arraysubpackage, load in the variabletempfrom thedata/era_eu.zarrdataset. - Print the array to see the chunk sizes.
- Find the minimum temperature across all time and space axes.
- Compute the answer.
Interaktive Übung
Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.
# Load the temperature data from the Zarr dataset
temps = da.____(____)
# Print the Dask array of temperatures to see the chunk sizes
print(____)
# Find the minimum of the mean monthly temperatures
all_time_low = ____
# Compute the answer
all_time_low_value = ____
print(all_time_low_value, "°C")