If you join Dask DataFrame on a categorical column, then the outputted Dask DataFrame column is still category dtype. However, the moment you .compute() the outputted Dask DataFrame, then the column is the wrong dtype, not categorical.

Tested on Dask 2.14.0 and Pandas 1.0.3
This example where the category type looks like a float, so after .compute(), the dtype is float.

import dask.d

Description of the desired feature

When trying to create rolling windows with a size larger than the minimum dimension of the region, the function raises a very strange error:

For example, if our region is 20e3 x 10e3 and we try to generate windows with a size of 15e3:

import verde as vd

coordinates = vd.grid_coordinates(region=(-10e3, 10e3, -5e3, 5e3), shape=(30, 30

We need to make a better job of providing citation information for Fatiando components. The coolest thing I've seen so far is duecredit. We can annotate our code with references and the user can use duecredit to generate a full list of references (including external libraries).