Stacking One-Dimensional Arrays with Dask in Python 2026
Stacking multiple 1D Dask Arrays is a common operation when building feature matrices or combining time series.
Example
import dask.array as da
a = da.arange(1000, chunks=200)
b = da.arange(1000, 100, chunks=200)
c = da.zeros(1000, chunks=200)
stacked = da.stack([a, b, c], axis=0) # shape (3, 1000)
print(stacked.shape)
Best Practices
- Use
da.stack()to create a new axis - Ensure all arrays have compatible lengths
- Rechunk after stacking if necessary
Conclusion
Stacking 1D arrays is straightforward with Dask and forms the basis for building higher-dimensional structures.
Next steps:
- Try stacking multiple 1D arrays from your data sources