From e71fa6bce663d598c6f04c4c82761e1f10e0ed19 Mon Sep 17 00:00:00 2001 From: yvonnefroelich Date: Mon, 23 Sep 2024 10:10:15 +0200 Subject: [PATCH] Update to lower-case --- README.md | 2 +- examples/tutorials/advanced/date_time_charts.py | 2 +- pygmt/__init__.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 2be85aeec50..b8bb251fe6c 100644 --- a/README.md +++ b/README.md @@ -45,7 +45,7 @@ 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 [Scientific Python ecosystem](https://scientific-python.org/): `numpy.ndarray` or +- 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 diff --git a/examples/tutorials/advanced/date_time_charts.py b/examples/tutorials/advanced/date_time_charts.py index 51dec2bcedd..747b1cf4621 100644 --- a/examples/tutorials/advanced/date_time_charts.py +++ b/examples/tutorials/advanced/date_time_charts.py @@ -191,7 +191,7 @@ # # 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 Scientific Python formats. It also allows the data to have +# 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. diff --git a/pygmt/__init__.py b/pygmt/__init__.py index 5ba086795f4..f6d1040851f 100644 --- a/pygmt/__init__.py +++ b/pygmt/__init__.py @@ -3,7 +3,7 @@ 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 Scientific Python ecosystem as well as support for +aims to provide integration with the scientific Python ecosystem as well as support for rich display in Jupyter notebooks. Main Features