From 8cc1adc44c3b35acda6ce5dbeeb76f2c61b8538f Mon Sep 17 00:00:00 2001 From: Kevin Sheppard Date: Wed, 18 Dec 2019 10:35:54 +0000 Subject: [PATCH] DOC: Remove reference to moving windows regressions Remove outdated reference to moving regression which was dropped --- README.md | 2 +- doc/source/getting_started/overview.rst | 3 +-- pandas/__init__.py | 3 +-- setup.py | 3 +-- web/pandas/about/index.md | 4 ++-- 5 files changed, 6 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index cb3a966c08f74..1130eb30954dc 100644 --- a/README.md +++ b/README.md @@ -124,7 +124,7 @@ Here are just a few of the things that pandas does well: and saving/loading data from the ultrafast [**HDF5 format**][hdfstore] - [**Time series**][timeseries]-specific functionality: date range generation and frequency conversion, moving window statistics, - moving window linear regressions, date shifting and lagging, etc. + date shifting and lagging. [missing-data]: https://pandas.pydata.org/pandas-docs/stable/missing_data.html#working-with-missing-data diff --git a/doc/source/getting_started/overview.rst b/doc/source/getting_started/overview.rst index ec76c60f24257..d8a40c5406dee 100644 --- a/doc/source/getting_started/overview.rst +++ b/doc/source/getting_started/overview.rst @@ -57,8 +57,7 @@ Here are just a few of the things that pandas does well: Excel files, databases, and saving / loading data from the ultrafast **HDF5 format** - **Time series**-specific functionality: date range generation and frequency - conversion, moving window statistics, moving window linear regressions, - date shifting and lagging, etc. + conversion, moving window statistics, date shifting and lagging. Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments. For data diff --git a/pandas/__init__.py b/pandas/__init__.py index d68fc2f48624b..ec367c62de9db 100644 --- a/pandas/__init__.py +++ b/pandas/__init__.py @@ -273,6 +273,5 @@ class SparseSeries: Excel files, databases, and saving/loading data from the ultrafast HDF5 format. - Time series-specific functionality: date range generation and frequency - conversion, moving window statistics, moving window linear regressions, - date shifting and lagging, etc. + conversion, moving window statistics, date shifting and lagging. """ diff --git a/setup.py b/setup.py index 38fc57e4f80bf..11401d71f2d94 100755 --- a/setup.py +++ b/setup.py @@ -187,8 +187,7 @@ def build_extensions(self): Excel files, databases, and saving / loading data from the ultrafast **HDF5 format** - **Time series**-specific functionality: date range generation and frequency - conversion, moving window statistics, moving window linear regressions, - date shifting and lagging, etc. + conversion, moving window statistics, date shifting and lagging. Many of these principles are here to address the shortcomings frequently experienced using other languages / scientific research environments. For data diff --git a/web/pandas/about/index.md b/web/pandas/about/index.md index 4e50d280d2a10..9a0a3923a6b82 100644 --- a/web/pandas/about/index.md +++ b/web/pandas/about/index.md @@ -49,8 +49,8 @@ This will help ensure the success of development of _pandas_ as a world-class op high-dimensional data in a lower-dimensional data structure; - **Time series**-functionality: date range generation and frequency - conversion, moving window statistics, moving window linear regressions, date - shifting and lagging. Even create domain-specific time offsets and join time + conversion, moving window statistics, date shifting and lagging. + Even create domain-specific time offsets and join time series without losing data; - Highly **optimized for performance**, with critical code paths written in