DOC: sparse doc fixups

doc/source/user_guide/sparse.rst

@@ -269,7 +269,7 @@ have no replacement.
 Interaction with scipy.sparse
 -----------------------------
 
-Use :meth:`DataFrame.sparse.from_coo` to create a ``DataFrame`` with sparse values from a sparse matrix.
+Use :meth:`DataFrame.sparse.from_spmatrix` to create a ``DataFrame`` with sparse values from a sparse matrix.
 
 .. versionadded:: 0.25.0
 

doc/source/whatsnew/v0.16.0.rst

@@ -92,6 +92,7 @@ Interaction with scipy.sparse
 Added :meth:`SparseSeries.to_coo` and :meth:`SparseSeries.from_coo` methods (:issue:`8048`) for converting to and from ``scipy.sparse.coo_matrix`` instances (see :ref:`here <sparse.scipysparse>`). For example, given a SparseSeries with MultiIndex we can convert to a `scipy.sparse.coo_matrix` by specifying the row and column labels as index levels:
 
 .. ipython:: python
+   :okwarning:
 
    s = pd.Series([3.0, np.nan, 1.0, 3.0, np.nan, np.nan])
    s.index = pd.MultiIndex.from_tuples([(1, 2, 'a', 0),
@@ -121,6 +122,7 @@ The from_coo method is a convenience method for creating a ``SparseSeries``
 from a ``scipy.sparse.coo_matrix``:
 
 .. ipython:: python
+   :okwarning:
 
    from scipy import sparse
    A = sparse.coo_matrix(([3.0, 1.0, 2.0], ([1, 0, 0], [0, 2, 3])),

doc/source/whatsnew/v0.18.1.rst

@@ -394,6 +394,7 @@ used in the ``pandas`` implementation (:issue:`12644`, :issue:`12638`, :issue:`1
 An example of this signature augmentation is illustrated below:
 
 .. ipython:: python
+   :okwarning:
 
    sp = pd.SparseDataFrame([1, 2, 3])
    sp
@@ -409,6 +410,7 @@ Previous behaviour:
 New behaviour:
 
 .. ipython:: python
+   :okwarning:
 
    np.cumsum(sp, axis=0)
 

doc/source/whatsnew/v0.19.0.rst

@@ -1236,6 +1236,7 @@ Operators now preserve dtypes
 - Sparse data structure now can preserve ``dtype`` after arithmetic ops (:issue:`13848`)
 
 .. ipython:: python
+   :okwarning:
 
    s = pd.SparseSeries([0, 2, 0, 1], fill_value=0, dtype=np.int64)
    s.dtype
@@ -1245,6 +1246,7 @@ Operators now preserve dtypes
 - Sparse data structure now support ``astype`` to convert internal ``dtype`` (:issue:`13900`)
 
 .. ipython:: python
+   :okwarning:
 
    s = pd.SparseSeries([1., 0., 2., 0.], fill_value=0)
    s

doc/source/whatsnew/v0.20.0.rst

@@ -339,6 +339,7 @@ See the :ref:`documentation <sparse.scipysparse>` for more information. (:issue:
 All sparse formats are supported, but matrices that are not in :mod:`COOrdinate <scipy.sparse>` format will be converted, copying data as needed.
 
 .. ipython:: python
+   :okwarning:
 
    from scipy.sparse import csr_matrix
    arr = np.random.random(size=(1000, 5))

pandas/core/sparse/frame.py

@@ -42,7 +42,7 @@ class SparseDataFrame(DataFrame):
     DataFrame containing sparse floating point data in the form of SparseSeries
     objects
 
-    .. deprectaed:: 0.25.0
+    .. deprecated:: 0.25.0
 
        Use a DataFrame with sparse values instead.
 

pandas/core/sparse/series.py

@@ -46,7 +46,7 @@
 class SparseSeries(Series):
     """Data structure for labeled, sparse floating point data
 
-    .. deprectaed:: 0.25.0
+    .. deprecated:: 0.25.0
 
        Use a Series with sparse values instead.