impl basic func guaranteeing DP

pandas/core/base.py

@@ -16,7 +16,11 @@
 )
 import warnings
 
-import numpy as np
+import os
+if os.environ.get("DP_NUMPY", "1") == "0":
+    import numpy as np
+else:
+    import dp_numpy as np
 
 from pandas._config import using_copy_on_write
 

pandas/core/generic.py

@@ -13367,6 +13367,16 @@ def make_doc(name: str, ndim: int) -> str:
         see_also = _stat_func_see_also
         examples = _sum_examples
         kwargs = {"min_count": _min_count_stub}
+
+    elif name == "laplace_sum":
+        base_doc = _sum_prod_doc
+        desc = (
+            "Return the laplace sum of the values over the requested axis.\n\n"
+            "This is equivalent to the method ``dp_numpy.laplace_sum``."
+        )
+        see_also = _stat_func_see_also
+        examples = _sum_examples
+        kwargs = {"min_count": _min_count_stub}
 
     elif name == "prod":
         base_doc = _sum_prod_doc

pandas/core/series.py

@@ -30,6 +30,8 @@
 else:
     import dp_numpy as np
 
+import numpy
+
 from pandas._config import using_copy_on_write
 from pandas._config.config import _get_option
 
@@ -6322,6 +6324,23 @@ def sum(
         **kwargs,
     ):
         return NDFrame.sum(self, axis, skipna, numeric_only, min_count, **kwargs)
+
+    @doc(make_doc("laplace_sum", ndim=1))
+    def laplace_sum(
+        self,
+        axis: Axis | None = None,
+        skipna: bool = True,
+        numeric_only: bool = False,
+        min_count: int = 0,
+        **kwargs,
+    ):
+        assert type(self.values) ==  np.ndarray
+        eps = kwargs.get('eps')
+        kwargs.pop('eps')
+        self.values.unset_sensitive()
+        raw_val =  NDFrame.sum(self, axis, skipna, numeric_only, min_count, **kwargs)
+        noised_val = numpy.random.laplace(loc=raw_val, scale=eps)
+        return noised_val
 
     @doc(make_doc("prod", ndim=1))
     def prod(