Fix doc warnings

pandas-dev · jreback · Jul 3, 2019 · Jun 30, 2019 · Jun 30, 2019 · Jun 30, 2019
commit ca70a46015178f4f420ec715aed06a847b446ff6
diff --git a/doc/source/user_guide/io.rst b/doc/source/user_guide/io.rst
@@ -3755,7 +3755,7 @@ defaults to `nan`.
     store.append('df_mixed', df_mixed, min_itemsize={'values': 50})
     df_mixed1 = store.select('df_mixed')
     df_mixed1
-    df_mixed1.get_dtype_counts()
+    df_mixed1.dtypes.value_counts()
 
     # we have provided a minimum string column size
     store.root.df_mixed.table

diff --git a/doc/source/user_guide/missing_data.rst b/doc/source/user_guide/missing_data.rst
@@ -105,7 +105,7 @@ pandas objects provide compatibility between ``NaT`` and ``NaN``.
    df2
    df2.loc[['a', 'c', 'h'], ['one', 'timestamp']] = np.nan
    df2
-   df2.get_dtype_counts()
+   df2.dtypes.value_counts()
 
 .. _missing.inserting:
 

diff --git a/doc/source/whatsnew/v0.10.1.rst b/doc/source/whatsnew/v0.10.1.rst
@@ -89,7 +89,7 @@ You can now store ``datetime64`` in data columns
     store.append('df_mixed', df_mixed)
    df_mixed1 = store.select('df_mixed')
     df_mixed1
-    df_mixed1.get_dtype_counts()
+    df_mixed1.dtypes.value_counts()
 
 You can pass ``columns`` keyword to select to filter a list of the return
 columns, this is equivalent to passing a

diff --git a/doc/source/whatsnew/v0.11.0.rst b/doc/source/whatsnew/v0.11.0.rst
@@ -296,7 +296,7 @@ Furthermore ``datetime64[ns]`` columns are created by default, when passed datet
    df
 
    # datetime64[ns] out of the box
-   df.get_dtype_counts()
+   df.dtypes.value_counts()
 
    # use the traditional nan, which is mapped to NaT internally
    df.loc[df.index[2:4], ['A', 'timestamp']] = np.nan