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Update the pyarrow note to match changes in PR #2933
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doc/ecosystem.md

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@@ -97,10 +97,11 @@ 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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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
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If you have [PyArrow](https://arrow.apache.org/docs/python/index.html) installed, PyGMT
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does have some initial support for `pandas.Series` and `pandas.DataFrame` objects with
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Apache Arrow-backed arrays. Specifically, only uint/int/float, date32/date64 and string
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types are supported for now. Support for Duration types and GeoArrow geometry types is
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still a work in progress. For more details, see
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[issue #2800](https://github.com/GenericMappingTools/pygmt/issues/2800).
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```
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