DEPR: Deprecate numpy argument in read_json

doc/source/user_guide/io.rst

@@ -2066,6 +2066,8 @@ The Numpy parameter
 +++++++++++++++++++
 
 .. note::
+  This param has been deprecated as of version 1.0.0 and will raise a ``FutureWarning``.
+
   This supports numeric data only. Index and columns labels may be non-numeric, e.g. strings, dates etc.
 
 If ``numpy=True`` is passed to ``read_json`` an attempt will be made to sniff
@@ -2088,6 +2090,7 @@ data:
    %timeit pd.read_json(jsonfloats)
 
 .. ipython:: python
+   :okwarning:
 
    %timeit pd.read_json(jsonfloats, numpy=True)
 
@@ -2102,6 +2105,7 @@ The speedup is less noticeable for smaller datasets:
    %timeit pd.read_json(jsonfloats)
 
 .. ipython:: python
+   :okwarning:
 
    %timeit pd.read_json(jsonfloats, numpy=True)
 

doc/source/whatsnew/v1.0.0.rst

@@ -576,6 +576,7 @@ Deprecations
 - :func:`pandas.json_normalize` is now exposed in the top-level namespace.
   Usage of ``json_normalize`` as ``pandas.io.json.json_normalize`` is now deprecated and
   it is recommended to use ``json_normalize`` as :func:`pandas.json_normalize` instead (:issue:`27586`).
+- The ``numpy`` argument of :meth:`pandas.read_json` is deprecated (:issue:`28512`).
 - :meth:`DataFrame.to_stata`, :meth:`DataFrame.to_feather`, and :meth:`DataFrame.to_parquet` argument "fname" is deprecated, use "path" instead (:issue:`23574`)
 - The deprecated internal attributes ``_start``, ``_stop`` and ``_step`` of :class:`RangeIndex` now raise a ``FutureWarning`` instead of a ``DeprecationWarning`` (:issue:`26581`)
 - The ``pandas.util.testing`` module has been deprecated. Use the public API in ``pandas.testing`` documented at :ref:`api.general.testing` (:issue:`16232`).

pandas/io/json/_json.py

@@ -11,6 +11,7 @@
 from pandas._libs.tslibs import iNaT
 from pandas._typing import JSONSerializable
 from pandas.errors import AbstractMethodError
+from pandas.util._decorators import deprecate_kwarg
 
 from pandas.core.dtypes.common import ensure_str, is_period_dtype
 
@@ -346,6 +347,7 @@ def _write(
         return serialized
 
 
+@deprecate_kwarg(old_arg_name="numpy", new_arg_name=None)
 def read_json(
     path_or_buf=None,
     orient=None,
@@ -459,6 +461,8 @@ def read_json(
         non-numeric column and index labels are supported. Note also that the
         JSON ordering MUST be the same for each term if numpy=True.
 
+        .. deprecated:: 1.0.0
+
     precise_float : bool, default False
         Set to enable usage of higher precision (strtod) function when
         decoding string to double values. Default (False) is to use fast but

pandas/tests/io/json/test_pandas.py

@@ -39,6 +39,7 @@ def assert_json_roundtrip_equal(result, expected, orient):
     tm.assert_frame_equal(result, expected)
 
 
+@pytest.mark.filterwarnings("ignore:the 'numpy' keyword is deprecated:FutureWarning")
 class TestPandasContainer:
     @pytest.fixture(scope="function", autouse=True)
     def setup(self, datapath):
@@ -1606,3 +1607,10 @@ def test_emca_262_nan_inf_support(self):
             ["a", np.nan, "NaN", np.inf, "Infinity", -np.inf, "-Infinity"]
         )
         tm.assert_frame_equal(result, expected)
+
+    def test_deprecate_numpy_argument_read_json(self):
+        # GH 28512
+        expected = DataFrame([1, 2, 3])
+        with tm.assert_produces_warning(FutureWarning):
+            result = read_json(expected.to_json(), numpy=True)
+            tm.assert_frame_equal(result, expected)