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

Changes from 1 commit
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
Prev Previous commit
Next Next commit
Update 'date_time_charts'
  • Loading branch information
@yvonnefroehlich
yvonnefroehlich committed Sep 23, 2024
commit a96263803c0ef2d7561b10c278ad7d029569a4ae
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
# 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