SciPy

I naively tried to do dd.merge(a, b, on="column_with_ten_values"), where a and b were both large DataFrames with thousands of partitions each.

Eventually the compute failed with:

[File /opt/conda/envs/coiled/lib/python3.9/site-packages/dask/dataframe/multi.py:275, in merge_chunk()

File /opt/conda/envs/coiled/lib/python3.9/site-packages/pandas/core/frame.py:9329, i

Describe your issue.

Currently, applying the ** operator to a sparse array implements the numpy.linalg.matrix_power function. This is not compatible with the np.array implementation of **, which does element-wise power. This should be fixed as part of the migration from sparse "matrices" to sparse "arrays". Additionally, the matrix_power function should then also be included in the

Description

https://numpy.org/doc/stable/reference/generated/numpy.corrcoef.html

https://docs.cupy.dev/en/stable/reference/generated/cupy.corrcoef.html

Seems args are different

Additional Information

dtype argument added in NumPy version 1.20.

Description of the desired feature

The spacing parameter of the rolling_window function controls the distance between the center of two adjacent windows.
Nevertheless, the docstring reads:

    spacing : float, tuple = (s_north, s_east), or None
        The window size in the South-North and West-East directions,
        respectively. A single value means that the size is equal