@@ -4671,7 +4671,6 @@ See the `Full Documentation <https://github.com/wesm/feather>`__.
46714671 Write to a feather file.
46724672
46734673.. ipython :: python
4674- :okwarning:
46754674
46764675 df.to_feather(' example.feather' )
46774676
@@ -4748,7 +4747,6 @@ See the documentation for `pyarrow <https://arrow.apache.org/docs/python/>`__ an
47484747 Write to a parquet file.
47494748
47504749.. ipython :: python
4751- :okwarning:
47524750
47534751 df.to_parquet(' example_pa.parquet' , engine = ' pyarrow' )
47544752 df.to_parquet(' example_fp.parquet' , engine = ' fastparquet' )
@@ -4765,7 +4763,6 @@ Read from a parquet file.
47654763 Read only certain columns of a parquet file.
47664764
47674765.. ipython :: python
4768- :okwarning:
47694766
47704767 result = pd.read_parquet(' example_fp.parquet' ,
47714768 engine = ' fastparquet' , columns = [' a' , ' b' ])
@@ -4788,7 +4785,6 @@ Serializing a ``DataFrame`` to parquet may include the implicit index as one or
47884785more columns in the output file. Thus, this code:
47894786
47904787.. ipython :: python
4791- :okwarning:
47924788
47934789 df = pd.DataFrame({' a' : [1 , 2 ], ' b' : [3 , 4 ]})
47944790 df.to_parquet(' test.parquet' , engine = ' pyarrow' )
@@ -4805,7 +4801,6 @@ If you want to omit a dataframe's indexes when writing, pass ``index=False`` to
48054801:func: `~pandas.DataFrame.to_parquet `:
48064802
48074803.. ipython :: python
4808- :okwarning:
48094804
48104805 df.to_parquet(' test.parquet' , index = False )
48114806
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