diff -ur patsy-0.5.1/doc/stateful-transforms.rst patsy-0.5.1.doc/doc/stateful-transforms.rst

--- patsy-0.5.1/doc/stateful-transforms.rst	2018-10-28 04:04:50.000000000 +0100

+++ patsy-0.5.1.doc/doc/stateful-transforms.rst	2018-11-12 21:25:46.469485037 +0100

@@ -35,6 +35,7 @@

 Now we can build a design matrix and see what we get:

 .. ipython:: python

+   :okexcept:

    mat = dmatrix("naive_center(x)", data)

    mat

@@ -49,6 +50,7 @@

 transformation, like so:

 .. ipython:: python

+   :okexcept:

    new_data = {"x": [5, 6, 7, 8]}

    # Broken!

@@ -76,6 +78,7 @@

 way:

 .. ipython:: python

+   :okexcept:

    fixed_mat = dmatrix("center(x)", data)

    fixed_mat

@@ -83,6 +86,7 @@

 But if we then feed in our new data, we also get out the correct result:

 .. ipython:: python

+   :okexcept:

    # Correct!

    build_design_matrices([fixed_mat.design_info], new_data)[0]

@@ -97,6 +101,7 @@

 just similar enough for you to miss the problem until it's too late.)

 .. ipython:: python

+   :okexcept:

    data_chunked = [{"x": data["x"][:2]},

                    {"x": data["x"][2:]}]

@@ -108,6 +113,7 @@

 But if we use the proper stateful transform, this just works:

 .. ipython:: python

+   :okexcept:

    dinfo = incr_dbuilder("center(x)", lambda: iter(data_chunked))

    # Correct!

@@ -133,6 +139,7 @@

 for prediction as well:

 .. ipython:: python

+   :okexcept:

    # Correct!

    build_design_matrices([dinfo], new_data)[0]