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6 changes: 5 additions & 1 deletion doc/source/development/contributing.rst
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Expand Up @@ -930,8 +930,12 @@ The ``pandas.util.testing`` module has many special ``assert`` functions that
make it easier to make statements about whether Series or DataFrame objects are
equivalent. The easiest way to verify that your code is correct is to
explicitly construct the result you expect, then compare the actual result to
the expected correct result::
the expected correct result

While writting the test cases for any issue mentioned in the issue tracker, mention
issue number as a comment in the code::

#Issue number ##NUMBER:
def test_pivot(self):
data = {
'index' : ['A', 'B', 'C', 'C', 'B', 'A'],
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