[arrow] branch master updated: MINOR: [Python][Docs] Improving sentence on docs:python/parquet

[jo...@apache.org]

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The following commit(s) were added to refs/heads/master by this push:
     new 35119f29b0 MINOR: [Python][Docs] Improving sentence on docs:python/parquet
35119f29b0 is described below

commit 35119f29b0e0de68b1ccc5f2066e0cc7d27fddd0
Author: alexdesiqueira <al...@igdore.org>
AuthorDate: Mon May 9 15:14:51 2022 +0200

    MINOR: [Python][Docs] Improving sentence on docs:python/parquet
    
    Just a small improvement on `docs/source/python/parquet.rst`:
    > _We need not use_
    
    becomes
    
    > _We do not need to use_
    
    Closes #13093 from alexdesiqueira/small_wording-python_parquet
    
    Authored-by: alexdesiqueira <al...@igdore.org>
    Signed-off-by: Joris Van den Bossche <jo...@gmail.com>
---
 docs/source/python/parquet.rst | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/source/python/parquet.rst b/docs/source/python/parquet.rst
index baffc55544..7048670c82 100644
--- a/docs/source/python/parquet.rst
+++ b/docs/source/python/parquet.rst
@@ -103,7 +103,7 @@ source, we use ``read_pandas`` to maintain any additional index column data:
 
    pq.read_pandas('example.parquet', columns=['two']).to_pandas()
 
-We need not use a string to specify the origin of the file. It can be any of:
+We do not need to use a string to specify the origin of the file. It can be any of:
 
 * A file path as a string
 * A :ref:`NativeFile <io.native_file>` from PyArrow
@@ -118,7 +118,7 @@ maps) will perform the best.
 Reading Parquet and Memory Mapping
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 
-Because Parquet data needs to be decoded from the Parquet format 
+Because Parquet data needs to be decoded from the Parquet format
 and compression, it can't be directly mapped from disk.
 Thus the ``memory_map`` option might perform better on some systems
 but won't help much with resident memory consumption.
@@ -131,9 +131,9 @@ but won't help much with resident memory consumption.
 
       >>> pq_array = pa.parquet.read_table("area1.parquet", memory_map=False)
       >>> print("RSS: {}MB".format(pa.total_allocated_bytes() >> 20))
-      RSS: 4299MB   
+      RSS: 4299MB
 
-If you need to deal with Parquet data bigger than memory, 
+If you need to deal with Parquet data bigger than memory,
 the :ref:`dataset` and partitioning is probably what you are looking for.
 
 Parquet file writing options
@@ -756,7 +756,7 @@ An example encryption configuration:
 
 Decryption configuration
 ~~~~~~~~~~~~~~~~~~~~~~~~
-   
+
 :class:`pyarrow.parquet.encryption.DecryptionConfiguration` (used when creating
 file decryption properties) is optional and it includes the following options: