DOC: remove deprecated from_items from dsintro docs

Author: jorisvandenbossche

doc/source/dsintro.rst

@@ -364,6 +364,19 @@ and returns a DataFrame. It operates like the ``DataFrame`` constructor except
 for the ``orient`` parameter which is ``'columns'`` by default, but which can be
 set to ``'index'`` in order to use the dict keys as row labels.
 
+
+.. ipython:: python
+
+   pd.DataFrame.from_dict(dict([('A', [1, 2, 3]), ('B', [4, 5, 6])]))
+
+If you pass ``orient='index'``, the keys will be the row labels. In this
+case, you can also pass the desired column names:
+
+.. ipython:: python
+
+   pd.DataFrame.from_dict(dict([('A', [1, 2, 3]), ('B', [4, 5, 6])]),
+                          orient='index', columns=['one', 'two', 'three'])
+
 .. _basics.dataframe.from_records:
 
 **DataFrame.from_records**
@@ -378,28 +391,6 @@ dtype. For example:
    data
    pd.DataFrame.from_records(data, index='C')
 
-.. _basics.dataframe.from_items:
-
-**DataFrame.from_items**
-
-``DataFrame.from_items`` works analogously to the form of the ``dict``
-constructor that takes a sequence of ``(key, value)`` pairs, where the keys are
-column (or row, in the case of ``orient='index'``) names, and the value are the
-column values (or row values). This can be useful for constructing a DataFrame
-with the columns in a particular order without having to pass an explicit list
-of columns:
-
-.. ipython:: python
-
-   pd.DataFrame.from_items([('A', [1, 2, 3]), ('B', [4, 5, 6])])
-
-If you pass ``orient='index'``, the keys will be the row labels. But in this
-case you must also pass the desired column names:
-
-.. ipython:: python
-
-   pd.DataFrame.from_items([('A', [1, 2, 3]), ('B', [4, 5, 6])],
-                           orient='index', columns=['one', 'two', 'three'])
 
 Column selection, addition, deletion
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~