From 05f135aeabc30c48c8932a5f1d8000aeb52e8fea Mon Sep 17 00:00:00 2001 From: Daniel Saxton Date: Sat, 8 Aug 2020 14:28:20 -0500 Subject: [PATCH 1/2] DOC: Mention NA for missing data in README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index a72e8402e68a0..8137bd64d4a30 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ its way towards this goal. Here are just a few of the things that pandas does well: - Easy handling of [**missing data**][missing-data] (represented as - `NaN`) in floating point as well as non-floating point data + `NaN` or `NA`) in floating point as well as non-floating point data - Size mutability: columns can be [**inserted and deleted**][insertion-deletion] from DataFrame and higher dimensional objects From b85c7863e11f50365e32287c7b149b6657b6b4df Mon Sep 17 00:00:00 2001 From: Daniel Saxton Date: Sat, 22 Aug 2020 11:56:49 -0500 Subject: [PATCH 2/2] NaT --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 8137bd64d4a30..a2f2f1c04442a 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ its way towards this goal. Here are just a few of the things that pandas does well: - Easy handling of [**missing data**][missing-data] (represented as - `NaN` or `NA`) in floating point as well as non-floating point data + `NaN`, `NA`, or `NaT`) in floating point as well as non-floating point data - Size mutability: columns can be [**inserted and deleted**][insertion-deletion] from DataFrame and higher dimensional objects