From 3568ac721865f71e6345caae54223808929e2373 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=EC=9E=A5?= <18105757+grrlic@users.noreply.github.com>
Date: Fri, 14 Aug 2020 21:33:15 +0700
Subject: [PATCH] update io documentation

The HDFS dropna=True parameter does not drop the NaN values. Perhaps this is a bug to the core Pandas, or really a typo in the documentation
---
 doc/source/user_guide/io.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/user_guide/io.rst b/doc/source/user_guide/io.rst
index 43030d76d945a..7ad08658420be 100644
--- a/doc/source/user_guide/io.rst
+++ b/doc/source/user_guide/io.rst
@@ -3596,7 +3596,7 @@ similar to how ``read_csv`` and ``to_csv`` work.
    os.remove('store_tl.h5')
 
 
-HDFStore will by default not drop rows that are all missing. This behavior can be changed by setting ``dropna=True``.
+HDFStore will by default drop rows that are all missing. This behavior can be changed by setting ``dropna=True``.
 
 
 .. ipython:: python