rex.rechunk_h5.chunk_size.TimeseriesChunkSize

class TimeseriesChunkSize(shape, dtype, chunk_size=2, weeks_per_chunk=None)[source]

Compute Timeseries chunks based on dtype, and weeks_per_chunk

Parameters:

shape (tuple) – Array shape
dtype (str | np.dtype) – Array data type
chunk_size (int, optional) – Chunk size in MB, by default 2
weeks_per_chunk (int, optional) – Number of weeks per time chunk, if None scale weeks based on 8 weeks for hourly data, by default None

Methods

`compute`(shape, dtype[, chunk_size, ...])	Compute chunks based on array shape and dtype
`compute_dtype_chunks`(shape, dtype[, ...])	Compute chunks based on array shape and dtype

Attributes

Dataset chunk size along all axis

classmethod compute_dtype_chunks(shape, dtype, chunk_size=2, weeks_per_chunk=None)[source]

Compute chunks based on array shape and dtype

Parameters:

shape (tuple) – Array shape
dtype (str | np.dtype) – Array data type
chunk_size (int, optional) – Chunk size in MB, by default 2
weeks_per_chunk (int, optional) – Number of weeks per time chunk, if None scale weeks based on 8 weeks for hourly data, by default None

Returns:

chunks (tuple) – Dataset chunk size along all axis

classmethod compute(shape, dtype, chunk_size=2, weeks_per_chunk=None)[source]

Compute chunks based on array shape and dtype

Parameters:

shape (tuple) – Array shape
dtype (str | np.dtype) – Array data type
chunk_size (int, optional) – Chunk size in MB, by default 2
weeks_per_chunk (int, optional) – Number of weeks per time chunk, if None scale weeks based on 8 weeks for hourly data, by default None

Returns:

chunks (tuple) – Dataset chunk size along all axis

property chunks

Dataset chunk size along all axis