SciPy

#9130 adds a sort_results argument to assert_eq, which allows us to assert DataFrame equality without sorting them (by default, assert_eq sorts the input DataFrames before checking equality). It'll be nice to identify+update the tests that would benefit from it.

A first step could be to run the dataframe tests with check_index=False and sort_results=False as defaults.

The description of rvalue in stats.probplot() is missing.

def probplot(x, sparams=(), dist='norm', fit=True, plot=None, rvalue=False):
...
Parameters
    ----------
    x : array_like
        Sample/response data from which `probplot` creates the plot.
    sparams : tuple, optional
        Distribution-specific shape parameters (shape parameters plus location
        and scale)

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

Since Verde v2.0.0 the grid method of every gridder in Verde will not take the spacing, shape or region arguments.
They will not create the desired grid, but will be able to take the coordinates of a predefined regular grid (see #326 for more details).

Currently the [verde.project_grid](https://www.fatiando.org/verde/latest/_modules/verde/projections.html#project_g