Skip to content

Update "PyData Ecosystem" to "Scientific Python Ecosystem" #3447

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
seisman merged 4 commits into from
Sep 23, 2024
Merged

Update "PyData Ecosystem" to "Scientific Python Ecosystem" #3447

Show file tree
Hide file tree
Changes from 3 commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
2a18309
Update 'PyData' to 'Scientific Python'
yvonnefroehlich Sep 23, 2024
a962638
Update 'date_time_charts'
yvonnefroehlich Sep 23, 2024
e71fa6b
Update to lower-case
yvonnefroehlich Sep 23, 2024
2773524
Udpate explanation for xarrayDataArray
yvonnefroehlich Sep 23, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -45,8 +45,8 @@ widely used across the Earth, Ocean, and Planetary sciences and beyond.
- Build a Pythonic API for GMT.
- Interface with the GMT C API directly using ctypes (no system calls).
- Support for rich display in the Jupyter notebook.
- Integration with the [PyData ecosystem](https://pydata.org/): `numpy.ndarray` or `pandas.DataFrame` for
data tables, `xarray.DataArray` for grids, and `geopandas.GeoDataFrame` for geographical data.
- Integration with the [scientific Python ecosystem](https://scientific-python.org/): `numpy.ndarray` or
`pandas.DataFrame` for data tables, `xarray.DataArray` for grids, and `geopandas.GeoDataFrame` for geographical data.

## Quickstart

Expand Down
8 changes: 4 additions & 4 deletions examples/tutorials/advanced/date_time_charts.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -191,10 +191,10 @@
#
# In this example, instead of using a list of :class:`pandas.DatetimeIndex` objects,
# ``x`` is initialized as an :class:`xarray.DataArray` object. This object provides a
# wrapper around regular PyData formats. It also allows the data to have labeled
# dimensions while supporting operations that use various pieces of metadata. The
# following code uses :func:`pandas.date_range` to fill the DataArray with data, but
# this is not essential for the creation of a valid DataArray.
# wrapper around regular scientific Python formats. It also allows the data to have
Copy link
Member

@seisman seisman Sep 23, 2024

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This object provides a wrapper around regular scientific Python formats.

I'm unsure what "scientific Python formats" means. The official documentation (https://docs.xarray.dev/en/stable/generated/xarray.DataArray.html) says:

DataArray provides a wrapper around numpy ndarrays that uses labeled dimensions and coordinates to support metadata aware operations.

Copy link
Member Author

@yvonnefroehlich yvonnefroehlich Sep 23, 2024 •
edited
Loading

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good point! Actually I was already a bit confused by "regular PyData formats". So, I just replaced the term. Maybe we should rewrite this sentence to something similar as in the official xarray docs, please see commit 2773524.

# labeled dimensions while supporting operations that use various pieces of metadata.
# The following code uses :func:`pandas.date_range` to fill the DataArray with data,
# but this is not essential for the creation of a valid DataArray.

x = xr.DataArray(data=pd.date_range(start="2020-01-01", periods=4, freq="Q"))
y = [4, 7, 5, 6]
Expand Down
4 changes: 2 additions & 2 deletions pygmt/__init__.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,8 +3,8 @@
publication-quality maps and figures. It provides a Pythonic interface for the Generic
Mapping Tools (GMT), a command-line program widely used across the Earth, Ocean, and
Planetary sciences and beyond. Besides making GMT more accessible to new users, PyGMT
aims to provide integration with the PyData ecosystem as well as support for rich
display in Jupyter notebooks.
aims to provide integration with the scientific Python ecosystem as well as support for
rich display in Jupyter notebooks.

Main Features
-------------
Expand Down