@@ -0,0 +1,49 @@
+# *****************************************************************************
+# Copyright (c) 2020, Intel Corporation All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions are met:
+#
+#     Redistributions of source code must retain the above copyright notice,
+#     this list of conditions and the following disclaimer.
+#
+#     Redistributions in binary form must reproduce the above copyright notice,
+#     this list of conditions and the following disclaimer in the documentation
+#     and/or other materials provided with the distribution.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
+# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
+# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
+# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
+# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
+# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
+# EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+# *****************************************************************************
+
+"""
+   Expected result:
+    A    0.063333
+    B    6.333333
+    C         NaN
+    dtype: float64
+"""
+
+import pandas as pd
+import numpy as np
+from numba import njit
+
+
+@njit
+def dataframe_var():
+    df = pd.DataFrame({"A": [.2, .0, .6, .2],
+                       "B": [2, 0, 6, 2],
+                       "C": [-1, np.nan, 1, np.inf]})
+
+    return df.var()
+
+
+print(dataframe_var())
@@ -688,8 +688,8 @@ def check_type(name, df, axis=None, skipna=None, level=None, numeric_only=None,
     if not (isinstance(numeric_only, types.Omitted) or numeric_only is None):
         ty_checker.raise_exc(numeric_only, 'unsupported', 'numeric_only')
 
-    if not (isinstance(ddof, types.Omitted) or ddof == 1):
-        ty_checker.raise_exc(ddof, 'unsupported', 'ddof')
+    if not (isinstance(ddof, (types.Omitted, types.Integer)) or ddof == 1):
+        ty_checker.raise_exc(ddof, 'int', 'ddof')
 
     if not (isinstance(min_count, types.Omitted) or min_count == 0):
         ty_checker.raise_exc(min_count, 'unsupported', 'min_count')
@@ -820,32 +820,43 @@ def std_overload(df, axis=None, skipna=None, level=None, ddof=1, numeric_only=No
 @sdc_overload_method(DataFrameType, 'var')
 def var_overload(df, axis=None, skipna=None, level=None, ddof=1, numeric_only=None):
     """
-       Pandas DataFrame method :meth:`pandas.DataFrame.var` implementation.
+    Intel Scalable Dataframe Compiler User Guide
+    ********************************************
 
-       .. only:: developer
+    Pandas API: pandas.DataFrame.var
 
-           Test: python -m sdc.runtests -k sdc.tests.test_dataframe.TestDataFrame.test_var*
+    Limitations
+    -----------
+    Parameters ``axis``, ``level`` and ``numeric_only`` are unsupported.
 
-       Parameters
-       -----------
-       df: :class:`pandas.DataFrame`
-           input arg
-       axis:
-           *unsupported*
-       skipna:
-           *unsupported*
-       level:
-           *unsupported*
-       ddof:
-           *unsupported*
-       numeric_only:
-           *unsupported*
+    Examples
+    --------
+    .. literalinclude:: ../../../examples/dataframe/dataframe_var.py
+       :language: python
+       :lines: 35-
+       :caption: Return unbiased variance over requested axis.
+       :name: ex_dataframe_var
 
-       Returns
-       -------
-       :obj:`pandas.Series` or `pandas.DataFrame`
-               return sample standard deviation over requested axis.
-       """
+    .. command-output:: python ./dataframe/dataframe_var.py
+       :cwd: ../../../examples
+
+    .. seealso::
+        :ref:`Series.std <pandas.Series.std>`
+            Returns sample standard deviation over Series.
+        :ref:`Series.var<pandas.Series.var>`
+            Returns unbiased variance over Series.
+        :ref:`DataFrame.std <pandas.DataFrame.std>`
+            Returns sample standard deviation over DataFrame.
+
+    Intel Scalable Dataframe Compiler Developer Guide
+    *************************************************
+
+    Pandas DataFrame method :meth:`pandas.DataFrame.var` implementation.
+
+    .. only:: developer
+
+        Test: python -m sdc.runtests -k sdc.tests.test_dataframe.TestDataFrame.test_var*
+    """
 
     name = 'var'