From 1f995bc6b0b813f8fa0281b83b0524943d1c146f Mon Sep 17 00:00:00 2001
From: Jonathan Malmaud <malmaud@gmail.com>
Date: Fri, 22 Jul 2022 19:49:31 -0700
Subject: [PATCH 1/2] Equality tests won't throw errors.

Fixes #95.
---
 src/Pandas.jl | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/src/Pandas.jl b/src/Pandas.jl
index 8b244ec..57820b9 100644
--- a/src/Pandas.jl
+++ b/src/Pandas.jl
@@ -376,7 +376,6 @@ end
 
 for (jl_op, py_op, py_opᵒ) in [(:+, :__add__, :__add__), (:*, :__mul__, :__mul__),
                                (:/, :__div__, :__rdiv__), (:-, :__sub__, :__rsub__),
-                               (:(==), :__eq__, :__eq__), (:!=, :__ne__, :__ne__),
                                (:>, :__gt__, :__lt__), (:<, :__lt__, :__gt__),
                                (:>=, :__ge__, :__le__), (:<=, :__le__, :__ge__),
                                (:&, :__and__, :__and__), (:|, :__or__, :__or__)]
@@ -397,6 +396,19 @@ for (jl_op, py_op, py_opᵒ) in [(:+, :__add__, :__add__), (:*, :__mul__, :__mul
     end
 end
 
+# Special-case the handling of equality-testing to always consider PandasWrapped
+# objects as unequal to non-wrapped objects.
+(==)(x::PandasWrapped, y) = false
+(==)(x, y::PandasWrapped) = false
+(!=)(x::PandasWrapped, y) = true
+(!=)(x, y::PandasWrapped) = true
+function (==)(x::PandasWrapped, y::PandasWrapped)
+    pandas_wrap(x.pyo.__eq__(y))
+end
+function (!=)(x::PandasWrapped, y::PandasWrapped)
+    pandas_wrap(x.pyo.__neq__(y))
+end
+
 for op in [(:-, :__neg__)]
     @eval begin
         $(op[1])(x::PandasWrapped) = pandas_wrap(x.pyo.$(quot(op[2]))())

From b8a1a8a232837a7886bc554b3a7265520745cc68 Mon Sep 17 00:00:00 2001
From: Jonathan Malmaud <malmaud@google.com>
Date: Mon, 25 Jul 2022 10:09:48 -0700
Subject: [PATCH 2/2] Update tests

---
 test/runtests.jl | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/test/runtests.jl b/test/runtests.jl
index af39b2d..93642a0 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -73,3 +73,11 @@ julia_df = DataFrames.DataFrame(py_df)
 julia_df= DataFrames.DataFrame(C = 1:4, A = 5:8, B = 9:12)
 py_df = Pandas.DataFrame(julia_df)
 @test all(Pandas.columns(py_df) .== ["C","A","B"])
+
+df1 = Pandas.Series(1:2)
+df2 = Pandas.Series(1:2)
+df3 = Pandas.Series(3:4)
+
+@test all(df1 == df1)
+@test all(df1 == df2)
+@test df1 != [1, 2]