diff --git a/CHANGES b/CHANGES index 46baef0..ecef86a 100644 --- a/CHANGES +++ b/CHANGES @@ -1,6 +1,29 @@ Changelog --------- +**0.8.6 (release 2020-08-20)** + +- The largest change was to the ReadTheDocs documentation system. It had not + been updated in a long time, and the auto-update CI was broken. Many sections + were updated, the auto-build was fixed (now using a .readthedocs.yml file), + a separate top-level section for "readers" (often referred to as "plugins") was + implemented, and many docstrings were updated and enhanced to ensure the + formatting works well. Additional documentation was added for CUAHSI readers. +- Bug fixes and small enhancements for multiple readers: + cpc, cuahsi.his_central, cuahsi.wof, usgs.eddn, usgs.nwis +- cuahsi.wof and cuahsi.his_central: added optional `user_cache` argument to + service requests, to direct WSDL caching files to user app directory. + Avoids problems with the user not having permission to write cache files + to the system tmp space (the default) +- usgs.eddn: generalized twdb_fts parser to accept batter_voltage and + water_level data in any order +- usgs.nwis: + - `get_site_data` can now accept a list of parameter codes as an argument + instead of a string of comma separated values + - enabled retrieval of iv data prior to 2007 +- Fixed or updated several tests + + **0.8.5 (release 2019-03-22)** - Bug fixes and some small enhancements for multiple plugins: diff --git a/README.rst b/README.rst index b9b46e8..21c3194 100644 --- a/README.rst +++ b/README.rst @@ -25,8 +25,8 @@ Features -------- - retrieves and parses datasets from the web -- returns simple python data structures that can be easily pulled into `more - sophisticated tools`_ for analysis +- returns simple python data structures that can be easily pulled into more + sophisticated tools such as Pandas for analysis - caches datasets locally and harvests updates as needed @@ -60,7 +60,7 @@ way to get things up and running is to use a scientific python distribution that will install everything together. A full list is available on the `scipy`_ website but `Anaconda`_ / `Miniconda`_ is recommended as it is the easiest to set up. -If you are using Anaconda/Miniconda then you can install ulmo from the `conda_forge`_ +If you are using Anaconda/Miniconda then you can install ulmo from the `conda-forge`_ channel with the following command: conda install -c conda-forge ulmo