Only list supported dtypes

Author: seisman

doc/techref/array_dtypes.md

@@ -2,60 +2,30 @@
 
 This page documents array dtypes supported by PyGMT.
 
-## NumPy Dtypes
-
-NumPy provides 24 fundamental dtypes. Not all of them are supported by PyGMT.
-Among the 17 numeric dtypes, only 12 of them are supported.
-
-| NumPy dtype    | Support | Notes |
-|----------------|---------|-------|
-| np.int8        | Y       |       |
-| np.int16       | Y       |       |
-| np.int32       | Y       |       |
-| np.int64       | Y       |       |
-| np.longlong    | Y       |       |
-| np.uint8       | Y       |       |
-| np.uint16      | Y       |       |
-| np.uint32      | Y       |       |
-| np.uint64      | Y       |       |
-| np.ulonglong   | Y       |       |
-| np.float16     | N       |       |
-| np.float32     | Y       |       |
-| np.float64     | Y       |       |
-| np.longdouble  | N       |       |
-| np.complex64   | N       |       |
-| np.complex128  | N       |       |
-| np.clongdouble | N       |       |
-
-For raster images, only 8-bit unsigned intergers (i.e., `np.uint8`) are supported.
-
-## Pandas Dtypes
-
-| Pandas dtype    | Support | Notes |
-|----------------|---------|-------|
-| pd.Int8        | Y       |       |
-| pd.Int16       | Y       |       |
-| pd.Int32       | Y       |       |
-| pd.Int64       | Y       |       |
-| pd.UInt8       | Y       |       |
-| pd.UInt16      | Y       |       |
-| pd.UInt32      | Y       |       |
-| pd.UInt64      | Y       |       |
-| pd.Float32     | Y       |       |
-| pd.Float64     | Y       |       |
-
-## PyArrow Dtypes
-
-| PyArrow dtype  | Support | Notes |
-|----------------|---------|-------|
-| pa.int8        | Y       |       |
-| pa.int16       | Y       |       |
-| pa.int32       | Y       |       |
-| pa.int64       | Y       |       |
-| pa.uint8       | Y       |       |
-| pa.uint16      | Y       |       |
-| pa.uint32      | Y       |       |
-| pa.uint64      | Y       |       |
-| pa.float16     | N       |       |
-| pa.float32     | Y       |       |
-| pa.float64     | Y       |       |
+## Numeric Dtypes
+
+PyGMT supports most numeric dtypes provided by NumPy, pandas and PyArrow, including the following:
+
+**Signed Integers:**
+
+- :class:`numpy.int8`, :class:`numpy.int16`, :class:`numpy.int32`, :class:`numpy.int64`
+- :class:`pandas.Int8`, :class:`pandas.Int16`, :class:`pandas.Int32`, :class:`pandas.Int64`
+- :class:`pyarrow.int8`, :class:`pyarrow.int16`, :class:`pyarrow.int32`, :class:`pyarrow.int64`
+
+**Unsigned Integers:**
+
+- :class:`numpy.uint8`, :class:`numpy.uint16`, :class:`numpy.uint32`, :class:`numpy.uint64`
+- :class:`pandas.UInt8`, :class:`pandas.UInt16`, :class:`pandas.UInt32`, :class:`pandas.UInt64`
+- :class:`pyarrow.uint8`, :class:`pyarrow.uint16`, :class:`pyarrow.uint32`, :class:`pyarrow.uint64`
+
+**Floating-point numbers:**
+
+- :class:`numpy.float32`, :class:`numpy.float64`
+- :class:`pandas.Float32`, :class:`pandas.Float64`
+- :class:`pyarrow.float32`, :class:`pyarrow.float64`
+
+For raster images, only 8-bit unsigned intergers (i.e., :class:``)) are supported.
+
+## String Dtypes
+
+## Datetime Dtypes