- dask.array.reshape(x, shape, merge_chunks=True, limit=None)¶
Reshape array to new shape
- shapeint or tuple of ints
The new shape should be compatible with the original shape. If an integer, then the result will be a 1-D array of that length. One shape dimension can be -1. In this case, the value is inferred from the length of the array and remaining dimensions.
- merge_chunksbool, default True
Whether to merge chunks using the logic in
dask.array.rechunk()when communication is necessary given the input array chunking and the output shape. With
merge_chunks==False, the input array will be rechunked to a chunksize of 1, which can create very many tasks.
- limit: int (optional)
The maximum block size to target in bytes. If no limit is provided, it defaults to using the
array.chunk-sizeDask config value.
This is a parallelized version of the
np.reshapefunction with the following limitations:
It assumes that the array is stored in row-major order
It only allows for reshapings that collapse or merge dimensions like
(1, 2, 3, 4) -> (1, 6, 4)or
(64,) -> (4, 4, 4)
When communication is necessary this algorithm depends on the logic within rechunk. It endeavors to keep chunk sizes roughly the same when possible.
See Reshaping for a discussion the tradeoffs of