@@ -77,7 +77,7 @@ arrays with geospatial attributes such as coordinate reference systems (CRS) and
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(bounds).
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Currently, PyGMT relies on [ rioxarray] [ ] to to saving multi-band rasters to temporary files
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- in GeoTIFF format, to support processing and plotting 3-D : class: ` xarray.DataArray `
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+ in GeoTIFF format, to support processing and plotting 3-D { class} ` xarray.DataArray `
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images.
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``` {note}
@@ -95,7 +95,7 @@ organized for efficient analytic operations on modern hardware. The Arrow Python
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Python objects. They are based on the C++ implementation of Arrow.
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``` {note}
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- If you have PyArrow installed, PyGMT does have some initial support for {class}`pandas.Series
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+ If you have PyArrow installed, PyGMT does have some initial support for {class}`pandas.Series`
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and {class}`pandas.DataFrame` objects with Apache Arrow-backed arrays. Specifically, only
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uint/int/float and date32/date64 dtypes are supported for now. Support for string Arrow
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dtypes is still a work in progress. For more details, see
@@ -109,6 +109,7 @@ dtypes is still a work in progress. For more details, see
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[ apache arrow ] : https://arrow.apache.org/
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[ contextily ] : https://contextily.readthedocs.io/
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[ geopandas ] : https://geopandas.org/
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+ [ ipython ] : https://ipython.org/
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[ matplotlib ] : https://matplotlib.org/
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[ numpy ] : https://numpy.org/
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[ pandas ] : https://pandas.pydata.org/
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