diff --git a/doc/source/user_guide/io.rst b/doc/source/user_guide/io.rst
index 173bcf7537154..f9fbc33cba966 100644
--- a/doc/source/user_guide/io.rst
+++ b/doc/source/user_guide/io.rst
@@ -4685,7 +4685,6 @@ Write to a feather file.
 Read from a feather file.
 
 .. ipython:: python
-   :okwarning:
 
    result = pd.read_feather('example.feather')
    result
@@ -4764,7 +4763,6 @@ Write to a parquet file.
 Read from a parquet file.
 
 .. ipython:: python
-   :okwarning:
 
    result = pd.read_parquet('example_fp.parquet', engine='fastparquet')
    result = pd.read_parquet('example_pa.parquet', engine='pyarrow')
@@ -4839,7 +4837,6 @@ Partitioning Parquet files
 Parquet supports partitioning of data based on the values of one or more columns.
 
 .. ipython:: python
-    :okwarning:
 
     df = pd.DataFrame({'a': [0, 0, 1, 1], 'b': [0, 1, 0, 1]})
     df.to_parquet(fname='test', engine='pyarrow',
diff --git a/environment.yml b/environment.yml
index 4c96ab815dc90..443dc483aedf8 100644
--- a/environment.yml
+++ b/environment.yml
@@ -81,7 +81,7 @@ dependencies:
   - html5lib  # pandas.read_html
   - lxml  # pandas.read_html
   - openpyxl  # pandas.read_excel, DataFrame.to_excel, pandas.ExcelWriter, pandas.ExcelFile
-  - pyarrow>=0.13.1  # pandas.read_paquet, DataFrame.to_parquet, pandas.read_feather, DataFrame.to_feather
+  - pyarrow>=0.13.1  # pandas.read_parquet, DataFrame.to_parquet, pandas.read_feather, DataFrame.to_feather
   - pyqt>=5.9.2  # pandas.read_clipboard
   - pytables>=3.4.2  # pandas.read_hdf, DataFrame.to_hdf
   - python-snappy  # required by pyarrow