Miscellaneous doc and module cleanup (#145)

* delete placeholder modules

* update README

* make order consistent

* make descriptions consistent

* remove hypothetical modules from index.rst too

* other index.rst updates

* typo

* more placeholder removal

* whatsnew

* fix typo

README.md

@@ -10,22 +10,30 @@ systems. It provides functions for quality control, filtering, and
 feature labeling and other tools supporting the analysis of PV
 system-level data.
 
-Documentation is available at 
+PVAnalytics is available at [PyPI](https://pypi.org/project/pvanalytics/)
+and can be installed using `pip`:
+
+    pip install pvanalytics
+
+Documentation and example usage is available at 
 [pvanalytics.readthedocs.io](https://pvanalytics.readthedocs.io).
 
 ## Library Overview
 
 The functions provided by PVAnalytics are organized in modules based
 on their anticipated use.  The structure/organization below is likely
 to change as use cases are identified and refined and as package
-content evolves.  The functions in `quality`, `filtering`, and
-`features` will take a series of data and return a series of booleans.
+content evolves.  The functions in `quality` and
+`features` take a series of data and return a series of booleans.
+For more detailed descriptions, see our
+[API Reference](https://pvanalytics.readthedocs.io/en/stable/api.html).
+
 * `quality` contains submodules for different kinds of data quality
   checks.
+  * `data_shifts` contains quality checks for detecting and 
+    isolating data shifts in PV time series data.
   * `irradiance` provides quality checks for irradiance
-    measurements. This will initially contain an implementation of the
-    QCRad algorithm, but any other quality tests for irradiance data
-    should be added here.
+    measurements. 
   * `weather` has quality checks for weather data (for example tests
     for physically plausible values of temperature, wind speed,
     humidity, etc.)
@@ -36,22 +44,15 @@ content evolves.  The functions in `quality`, `filtering`, and
   * `time` quality checks related to time (e.g. timestamp spacing)
   * `util` general purpose quality functions.
 
-  Other quality checks such as detecting timestamp errors will also be
-  included in `quality`.
-* `filtering` as the name implies, contains functions for data
-  filtering (e.g. day/night or solar position)
 * `features` contains submodules with different methods for
   identifying and labeling salient features.
   * `clipping` functions for labeling inverter clipping.
   * `clearsky` functions for identifying periods of clear sky
     conditions.
+  * `daytime` functions for for identifying periods of day and night.
+  * `orientation` functions for labeling data as corresponding to
+    a rotating solar tracker or a fixed tilt structure.
+  * `shading` functions for identifying shadows.
 * `system` identification of PV system characteristics from data
   (e.g. nameplate power, orientation, azimuth)
-* `translate` contains functions for translating data to other
-  conditions (e.g. IV curve translators, temperature adjustment,
-  irradiance adjustment)
 * `metrics` contains functions for computing PV system-level metrics
-* `fitting` contains submodules for different types of models that can
-  be fit to data (e.g.  temperature models)
-* `dataclasses` contains classes for normalizing data (e.g. an
-  `IVCurve` class)

docs/index.rst

@@ -9,8 +9,11 @@ PVAnalytics
 PVAnalytics is a python library that supports analytics for PV
 systems. It provides functions for quality control, filtering, and
 feature labeling and other tools supporting the analysis of PV
-system-level data.
+system-level data. It can be used as a standalone analysis package
+and as a data cleaning "front end" for other PV analysis packages.
 
+PVAnalytics is free and open source under a
+`permissive license <https://github.com/pvlib/pvanalytics/blob/master/LICENSE>`_.
 The source code for PVAnalytics is hosted on `github
 <https://github.com/pvlib/pvanalytics>`_.
 
@@ -40,8 +43,6 @@ library status.
   - :py:mod:`quality.util` general purpose quality functions (e.g. simple
     range checks).
 
-- :py:mod:`filtering` as the name implies, contains functions for data
-  filtering.
 - :py:mod:`features` contains submodules with different methods for
   identifying and labeling salient features.
 
@@ -59,15 +60,8 @@ library status.
 
 - :py:mod:`system` identification of PV system characteristics from data
   (e.g. nameplate power, tilt, azimuth)
-- :py:mod:`translate` contains functions for translating data to other
-  conditions (e.g. IV curve translators, temperature adjustment,
-  irradiance adjustment)
 - :py:mod:`metrics` contains functions for computing PV system-level metrics
   (e.g. performance ratio)
-- :py:mod:`fitting` contains submodules for different types of models that can
-  be fit to data (e.g.  temperature models)
-- :py:mod:`dataclasses` contains classes for normalizing data (e.g. an
-  ``IVCurve`` class)
 
 Dependencies
 ------------
@@ -80,8 +74,11 @@ It supports:
   and at minimum the two latest minor versions.
 - All minor versions of numpy released in the 24 months prior to the project,
   and at minimum the last three minor versions
-- The latest release of `PVLib <https://pvlib-python.readthedocs.io>`_.
+- The latest release of `pvlib <https://pvlib-python.readthedocs.io>`_.
 
+Additionally, PVAnalytics relies on several other packages in the open
+source scientific python ecosystem.  For details on dependencies and versions,
+see our `setup.py <https://github.com/pvlib/pvanalytics/blob/master/setup.py>`_.
 
 Contents
 ========

docs/whatsnew/0.1.2.rst

@@ -3,6 +3,9 @@
 0.1.2 (TBD)
 -------------------------
 
+* Removed empty modules ``pvanalytics.filtering`` and ``pvanalytics.fitting``
+  until the relevant functionality is added to the package. (:pull:`145`)
+
 Enhancements
 ~~~~~~~~~~~~
 * Detect data shifts in daily summed time series with 
@@ -57,3 +60,5 @@ Contributors
 ~~~~~~~~~~~~
 
 * Kirsten Perry (:ghuser:`kperrynrel`)
+* Cliff Hansen (:ghuser:`cwhanse`)
+* Kevin Anderson (:ghuser:`kanderso-nrel`)

pvanalytics/__init__.py

@@ -1,6 +1,4 @@
 from pvanalytics import features   # noqa: F401
-from pvanalytics import filtering  # noqa: F401
-from pvanalytics import fitting    # noqa: F401
 from pvanalytics import metrics    # noqa: F401
 from pvanalytics import quality    # noqa: F401
 from pvanalytics import system     # noqa: F401