From 8de1f64ea1218f6a03e179b8ff56959e816a6353 Mon Sep 17 00:00:00 2001
From: Yadunandan <yadunandan2001@gmail.com>
Date: Mon, 9 May 2016 22:50:46 +1000
Subject: [PATCH] BUG: Added checks for Nan in __call__ of EngFormatter

Closes #11981

Updated the v0.18.2 document

Updated the document v0.18.2.txt and the test test_nan

Updated test_nan for smoke test
---
 doc/source/whatsnew/v0.18.2.txt     |  1 +
 pandas/formats/format.py            |  3 +++
 pandas/tests/formats/test_format.py | 15 +++++++++++++++
 3 files changed, 19 insertions(+)

diff --git a/doc/source/whatsnew/v0.18.2.txt b/doc/source/whatsnew/v0.18.2.txt
index fa426aa30bc65..9ffe068fac166 100644
--- a/doc/source/whatsnew/v0.18.2.txt
+++ b/doc/source/whatsnew/v0.18.2.txt
@@ -132,3 +132,4 @@ Bug Fixes
 
 - Bug in ``NaT`` - ``Period`` raises ``AttributeError`` (:issue:`13071`)
 - Bug in ``Period`` addition raises ``TypeError`` if ``Period`` is on right hand side (:issue:`13069`)
+- Bug in ``__call__`` of ``EngFormatter`` that would prevent NaN's from formatting (:issue:`11981`)
diff --git a/pandas/formats/format.py b/pandas/formats/format.py
index c3ffc018d1031..70b506a1415c1 100644
--- a/pandas/formats/format.py
+++ b/pandas/formats/format.py
@@ -2590,6 +2590,9 @@ def __call__(self, num):
         import math
         dnum = decimal.Decimal(str(num))
 
+        if decimal.Decimal.is_nan(dnum):
+            return 'NaN'
+
         sign = 1
 
         if dnum < 0:  # pragma: no cover
diff --git a/pandas/tests/formats/test_format.py b/pandas/tests/formats/test_format.py
index 4fcee32c46067..d5b90c39225d1 100644
--- a/pandas/tests/formats/test_format.py
+++ b/pandas/tests/formats/test_format.py
@@ -3925,6 +3925,21 @@ def test_rounding(self):
         result = formatter(0)
         self.assertEqual(result, u(' 0.000'))
 
+    def test_nan(self):
+        # Issue #11981
+
+        formatter = fmt.EngFormatter(accuracy=1, use_eng_prefix=True)
+        result = formatter(np.nan)
+        self.assertEqual(result, u('NaN'))
+
+        df = pd.DataFrame({'a':[1.5, 10.3, 20.5], 
+                           'b':[50.3, 60.67, 70.12],
+                           'c':[100.2, 101.33, 120.33]})
+        pt = df.pivot_table(values='a', index='b', columns='c')
+        fmt.set_eng_float_format(accuracy=1)
+        result = pt.to_string()
+        # Smoke test for Invalid Operation Error, no comparision required
+        self.reset_display_options()
 
 def _three_digit_exp():
     return '%.4g' % 1.7e8 == '1.7e+008'