Deepak Cherian

jupyter-book integration

3

Nice cookiecutter. Just a suggestion: it's been really useful to have my notebooks folder built with jupyter-book and automatically deploying to Github Pages. Very nice for discussing with collaborators. See...

Thank you for this very nice software. I use it regularly. Since you're using youtube-dl, it would be nice to cache the downloaded videos so I can listen to them...

MDTF

1

MDTF seems to do some useful things with CMIP6 metadata Not sure how useful they are for this package but it seems worth looking through it. https://github.com/NOAA-GFDL/MDTF-diagnostics/blob/main/src/cmip6.py

Provide sliding_window_view

1

### Description CuPy provides `as_strided` It'd be nice to also provide [sliding_window_view](https://numpy.org/devdocs/reference/generated/numpy.lib.stride_tricks.sliding_window_view.html) which IIRC is a wrapper around `as_strided`. Xarray uses `sliding_window_view` for its "rolling" operations (similar to pandas). ###...

Add CUDA device ID to `ndarray.__repr__`

4

### Description The repr for cupy arrays is indistinguishable from numpy arrays ```python import cupy as cp repr(cp.linspace(0, 2, 5)) ``` ``` 'array([0. , 0.5, 1. , 1.5, 2. ])'...

comparing positive and negative angles

5

``` python import pint ureg = pint.UnitRegistry() -140 * ureg.degrees == 220 * ureg.degrees ``` return `False`. Is it possible for it to return `True` instead? xref https://github.com/xarray-contrib/pint-xarray/issues/119

wrong nanmean with complex64

1

**Describe the bug** np.nanmean of sparse array does not match numpy result **To Reproduce** ```python import numpy as np import sparse as sp array = np.array([0. +0.j, 0.+np.nan * 1j],...

hyperlinks after combine

3

After combining two pdfs, hyperlinks are broken. Is it possible to fix this? EDIT: pdftk does this perfectly.

Avoid calling np.asarray on lazy indexing classes

1

This is motivated by https://docs.rapids.ai/api/kvikio/stable/api.html#kvikio.zarr.GDSStore which on read loads the data directly into GPU memory. Currently we rely on `np.asarray` to convert a BackendArray wrapped with a number of lazy...

Flox based groupby operations don't support `dtype` in mean method

3

### Discussed in https://github.com/pydata/xarray/discussions/6901 Originally posted by **tasansal** August 9, 2022 We have been using the new groupby logic with Flox and numpy_groupies; however, when we run the following, the...