DOC:Improve the docstring of DataFrame.iloc()

pandas/core/indexing.py

@@ -1629,7 +1629,8 @@ def _getitem_axis(self, key, axis=None):
 
 
 class _iLocIndexer(_LocationIndexer):
-    """Purely integer-location based indexing for selection by position.
+    """
+    Purely integer-location based indexing for selection by position.
 
     ``.iloc[]`` is primarily integer position based (from ``0`` to
     ``length-1`` of the axis), but may also be used with a boolean
@@ -1642,14 +1643,41 @@ class _iLocIndexer(_LocationIndexer):
     - A slice object with ints, e.g. ``1:7``.
     - A boolean array.
     - A ``callable`` function with one argument (the calling Series, DataFrame
-      or Panel) and that returns valid output for indexing (one of the above)
+      or Panel) and that returns valid output for indexing (one of the above).
 
     ``.iloc`` will raise ``IndexError`` if a requested indexer is
     out-of-bounds, except *slice* indexers which allow out-of-bounds
     indexing (this conforms with python/numpy *slice* semantics).
 
-    See more at :ref:`Selection by Position <indexing.integer>`
+    ref:`Selection by Position <indexing.integer>`.
+
+    See Also
+    --------
+    DataFrame.iat : Fast integer location scalar accessor.
+    DataFrame.loc : Purely label-location based indexer for selection by label.
 
+    Examples
+    --------
+    >>> import pandas as pd
+    >>> mydict = [{'a': 1, 'b': 2, 'c': 3, 'd': 4},
+    ... {'a': 100, 'b': 200, 'c': 300, 'd': 400},
+    ... {'a': 1000, 'b': 2000, 'c': 3000, 'd': 4000 }]
+    >>> df = pd.DataFrame(mydict)
+    >>> df
+          a     b     c     d
+    0     1     2     3     4
+    1   100   200   300   400
+    2  1000  2000  3000  4000
+    >>> df.iloc[0]
+    a    1
+    b    2
+    c    3
+    d    4
+    Name: 0, dtype: int64
+    >>> df.iloc[0:2]
+         a    b    c    d
+    0    1    2    3    4
+    1  100  200  300  400
     """
 
     _valid_types = ("integer, integer slice (START point is INCLUDED, END "