add original changes.

Author: lucaionescu

doc/source/whatsnew/v1.0.0.rst

@@ -501,6 +501,7 @@ 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`).
 -
 
 .. _whatsnew_1000.prior_deprecations:

pandas/io/json/_json.py

@@ -27,6 +27,7 @@
 )
 from pandas.io.formats.printing import pprint_thing
 from pandas.io.parsers import _validate_integer
+from pandas.util._decorators import deprecate_kwarg
 
 from ._normalize import convert_to_line_delimits
 from ._table_schema import build_table_schema, parse_table_schema
@@ -353,6 +354,7 @@ def _write(
         return serialized
 
 
+@deprecate_kwarg(old_arg_name="numpy", new_arg_name=None)
 def read_json(
     path_or_buf=None,
     orient=None,
@@ -466,6 +468,8 @@ 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

@@ -1,6 +1,7 @@
 from collections import OrderedDict
 from datetime import timedelta
 from io import StringIO
+from warnings import catch_warnings, filterwarnings
 import json
 import os
 
@@ -1601,3 +1602,13 @@ def test_json_indent_all_orients(self, orient, expected):
     def test_json_negative_indent_raises(self):
         with pytest.raises(ValueError, match="must be a nonnegative integer"):
             pd.DataFrame().to_json(indent=-1)
+
+    @pytest.mark.filterwarnings("ignore:.*msgpack:FutureWarning")
+    def test_deprecate_numpy_argument_read_json(self):
+        # https://github.com/pandas-dev/pandas/issues/28512
+        df = DataFrame([1, 2, 3])
+        with tm.assert_produces_warning(None):
+            with catch_warnings():
+                filterwarnings("ignore", category=FutureWarning)
+                result = read_json(df.to_json(), numpy=True)
+                assert_frame_equal(result, df)