In the project goals, we mention that:

Integration with the PyData ecosystem: numpy.ndarray or pandas.DataFrame for data tables, xarray.DataArray for grids, and geopandas.GeoDataFrame for geographical data.

After looking at the link https://pydata.org/, users (and even myself) may be still confused with the definition and scope of "PyData Ecosystem". The best explanation of "PyData Ecosystem" may be this post: https://stackoverflow.com/questions/18168400/the-pydata-ecosystem.

In addition to "PyData Ecosystem", a similar term is "Scientific Python Ecosystem". This term is used on the NumPy Nature paper (https://www.nature.com/articles/s41586-020-2649-2#Sec3 and the figure 2 https://www.nature.com/articles/s41586-020-2649-2/figures/2) and across the scientific Python site. The term is also well defined at https://tools.scientific-python.org/about/:

The Scientific Python ecosystem is a loose federation of community developed and owned Python projects widely used in scientific research, technical computing, and data science.

I think we should use "Scientific Python Ecosystem" instead of "PyData Ecosystem".