Merge pull request #140 from wind-python/dev

Merge into master for release 0.2.2

.github/workflows/tests-coverage.yml

@@ -0,0 +1,68 @@
+# Tests with pytest the package and monitors the coverage and sends it to coveralls.io
+# Coverage is only send to coveralls.io when no pytest tests fail
+name: "Tests & Coverage"
+
+on: [push]
+
+# Cancel jobs on new push
+concurrency:
+  group: ${{ github.workflow }}-${{ github.ref || github.run_id }}
+  cancel-in-progress: true
+
+jobs:
+  build:
+    name: "${{ matrix.name-suffix }} at py${{ matrix.python-version }} on ${{ matrix.os }}"
+    runs-on: ${{ matrix.os }}
+
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - name-suffix: "coverage"
+            os: ubuntu-latest
+            python-version: "3.11"
+          - name-suffix: "basic"
+            os: ubuntu-latest
+            python-version: "3.10"
+          - name-suffix: "basic"
+            os: ubuntu-latest
+            python-version: "3.12"
+          - name-suffix: "basic"
+            os: windows-latest
+            python-version: "3.11"
+
+    steps:
+      - name: Checkout repo
+        uses: actions/checkout@v3
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Set up Conda
+        if: runner.os == 'Windows'
+        uses: conda-incubator/setup-miniconda@v2
+        with:
+          miniconda-version: "latest"
+          python-version: ${{ matrix.python-version }}
+          activate-environment: testenv
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip wheel setuptools
+          python -m pip install .[dev]
+
+      - name: Run tests
+        if: ${{ !(runner.os == 'Linux' && matrix.python-version == 3.9 && matrix.name-suffix == 'coverage') }}
+        run: |
+          python -m pytest --disable-warnings --color=yes -v
+
+      - name: Run tests, coverage and send to coveralls
+        if: runner.os == 'Linux' && matrix.python-version == 3.9 && matrix.name-suffix == 'coverage'
+        run: |
+          coverage run --source=windpowerlib -m pytest --disable-warnings --color=yes -v
+          coveralls
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          COVERALLS_SERVICE_NAME: github

.readthedocs.yml

@@ -0,0 +1,28 @@
+# .readthedocs.yml
+# Read the Docs configuration file
+# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
+
+# Required
+version: 2
+
+# Build documentation in the docs/ directory with Sphinx
+sphinx:
+  configuration: doc/conf.py
+
+# Build documentation with MkDocs
+#mkdocs:
+#  configuration: mkdocs.yml
+
+# Optionally build your docs in additional formats such as PDF and ePub
+formats: all
+
+# Optionally set the version of Python and requirements required to build your docs
+python:
+  install:
+    - requirements: doc/requirements.txt
+
+# Set the version of Python
+build:
+  os: ubuntu-22.04
+  tools:
+    python: "3.11"

.travis.yml

@@ -2,9 +2,9 @@ language: python
 
 matrix:
   include:
-    - python: 3.6
-    - python: 3.7
-    - python: 3.8
+    - python: 3.10
+    - python: 3.11
+    - python: 3.12
 
 # command to install dependencies
 #before_install:

README.rst

@@ -33,13 +33,13 @@ Go to the `download page <http://readthedocs.org/projects/windpowerlib/downloads
 Installation
 ============
 
-If you have a working Python 3 (>= 3.6) environment, use pypi to install the latest windpowerlib version:
+If you have a working Python 3 environment, use pypi to install the latest windpowerlib version:
 
 ::
 
     pip install windpowerlib
 
-The windpowerlib is designed for Python 3 and tested on Python >= 3.5. We highly recommend to use virtual environments.
+The windpowerlib is designed for Python 3 and tested on Python >= 3.10. We highly recommend to use virtual environments.
 Please see the `installation page <http://oemof.readthedocs.io/en/stable/installation_and_setup.html>`_ of the oemof documentation for complete instructions on how to install python and a virtual environment on your operating system.
 
 Optional Packages
@@ -97,8 +97,8 @@ To update your local files with the latest version of the `oedb turbine library
 
 .. code:: python
 
-  from windpowerlib.wind_turbine import load_turbine_data_from_oedb
-  load_turbine_data_from_oedb()
+  from windpowerlib.data import store_turbine_data_from_oedb
+  store_turbine_data_from_oedb()
 
 If you find your turbine in the database it is very easy to use it in the
 windpowerlib

doc/conf.py

@@ -69,7 +69,7 @@
 
 # General information about the project.
 project = u'windpowerlib'
-copyright = u'2016-2021, oemof developer group'
+copyright = u'2016-2023, oemof developer group'
 author = u'oemof developer group'
 
 import windpowerlib

doc/getting_started.rst

@@ -43,7 +43,7 @@ If you have a working Python 3 environment, use pypi to install the latest windp
 
     pip install windpowerlib
 
-The windpowerlib is designed for Python 3 and tested on Python >= 3.5. We highly recommend to use virtual environments.
+The windpowerlib is designed for Python 3 and tested on Python >= 3.10. We highly recommend to use virtual environments.
 Please see the `installation page <http://oemof.readthedocs.io/en/stable/installation_and_setup.html>`_ of the oemof documentation for complete instructions on how to install python and a virtual environment on your operating system.
 
 Optional Packages
@@ -69,9 +69,9 @@ The basic usage of the windpowerlib is shown in the ModelChain example that is a
 To run the example you need the example weather and turbine data used:
 
  * :download:`Example weather data file <../example/weather.csv>`
- * :download:`Example power curve data file <../example/data/power_curves.csv>`
- * :download:`Example power coefficient curve data file <../example/data/power_coefficient_curves.csv>`
- * :download:`Example nominal power data file <../example/data/turbine_data.csv>`
+ * :download:`Example power curve data file <../windpowerlib/data/default_turbine_data/power_curves.csv>`
+ * :download:`Example power coefficient curve data file <../windpowerlib/data/default_turbine_data/power_coefficient_curves.csv>`
+ * :download:`Example nominal power data file <../windpowerlib/data/default_turbine_data/turbine_data.csv>`
 
 Furthermore, you have to install the windpowerlib and to run the notebook you also need to install `notebook` using pip3. To launch jupyter notebook type ``jupyter notebook`` in the terminal.
 This will open a browser window. Navigate to the directory containing the notebook to open it. See the jupyter notebook quick start guide for more information on `how to install <http://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/install.html>`_ and
@@ -102,8 +102,8 @@ To update your local files with the latest version of the `oedb turbine library
 
 .. code:: python
 
-  from windpowerlib.wind_turbine import load_turbine_data_from_oedb
-  load_turbine_data_from_oedb()
+  from windpowerlib.data import store_turbine_data_from_oedb
+  store_turbine_data_from_oedb()
 
 If you find your turbine in the database it is very easy to use it in the
 windpowerlib
@@ -223,4 +223,4 @@ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
+SOFTWARE.

doc/requirements.txt

@@ -1,4 +1,5 @@
 sphinx>=1.4
+sphinx_rtd_theme
 ipykernel
 nbsphinx
 pandas

doc/whats_new.rst

@@ -8,6 +8,7 @@ These are new features and improvements of note in each release
     :local:
     :backlinks: top
 
+.. include::  whatsnew/v0-2-2.rst
 .. include::  whatsnew/v0-2-1.rst
 .. include::  whatsnew/v0-2-0.rst
 .. include::  whatsnew/v0-1-3.rst

doc/whatsnew/v0-2-2.rst

@@ -0,0 +1,12 @@
+v0.2.2 (February 20, 2024)
+++++++++++++++++++++++++++++++
+
+* Updated the code basis to work for newer versions of python (support for python 3.6 to
+  python 3.9 is discontinued, supported python versions are now >= python 3.9) and added
+  github actions to run tests automatically when changes are pushed to github
+  (`PR 136 <https://github.com/wind-python/windpowerlib/pull/136>`_).
+
+Contributors
+############
+ * Birgit Schachler
+ * Florian Maurer

example/modelchain_example.ipynb

@@ -144,7 +144,8 @@
     "        file,\n",
     "        index_col=0,\n",
     "        header=[0, 1],\n",
-    "        date_parser=lambda idx: pd.to_datetime(idx, utc=True))\n",
+    "    )\n",
+    "    weather_df.index = pd.to_datetime(weather_df.index, utc=True)\n",
     "    \n",
     "    # change time zone\n",
     "    weather_df.index = weather_df.index.tz_convert(\n",
@@ -517,7 +518,7 @@
     "            x='wind_speed', y='value', style='*',\n",
     "            title='Enercon E126 power coefficient curve')\n",
     "        plt.xlabel('Wind speed in m/s')\n",
-    "        plt.ylabel('Power in W')\n",
+    "        plt.ylabel('Power coefficient $\\mathrm{C}_\\mathrm{P}$')\n",
     "        plt.show()\n",
     "    if e126.power_curve is not None:\n",
     "        e126.power_curve.plot(x='wind_speed', y='value', style='*',\n",

example/modelchain_example.py

@@ -85,8 +85,8 @@ def get_weather_data(filename="weather.csv", **kwargs):
         file,
         index_col=0,
         header=[0, 1],
-        date_parser=lambda idx: pd.to_datetime(idx, utc=True),
     )
+    weather_df.index = pd.to_datetime(weather_df.index, utc=True)
 
     # change time zone
     weather_df.index = weather_df.index.tz_convert("Europe/Berlin")
@@ -274,7 +274,7 @@ def plot_or_print(my_turbine, e126, my_turbine2):
                 title="Enercon E126 power curve",
             )
             plt.xlabel("Wind speed in m/s")
-            plt.ylabel("Power in W")
+            plt.ylabel("Power coefficient $\mathrm{C}_\mathrm{P}$")
             plt.show()
         if my_turbine.power_curve is not False:
             my_turbine.power_curve.plot(

example/simple_example.py

@@ -0,0 +1,145 @@
+"""
+The ``turbine_cluster_modelchain_example`` module shows how to calculate the
+power output of wind farms and wind turbine clusters with the windpowerlib.
+A cluster can be useful if you want to calculate the feed-in of a region for
+which you want to use one single weather data point.
+
+Functions that are used in the ``modelchain_example``, like the initialization
+of wind turbines, are imported and used without further explanations.
+
+SPDX-FileCopyrightText: 2019 oemof developer group <contact@oemof.org>
+SPDX-License-Identifier: MIT
+"""
+import pandas as pd
+import requests
+import os
+
+from windpowerlib import WindFarm
+from windpowerlib import WindTurbine
+from windpowerlib import TurbineClusterModelChain
+from windpowerlib import WindTurbineCluster
+
+# You can use the logging package to get logging messages from the windpowerlib
+# Change the logging level if you want more or less messages
+import logging
+
+logging.getLogger().setLevel(logging.INFO)
+
+
+def get_weather_data(filename="weather.csv", **kwargs):
+    r"""
+    Imports weather data from a file.
+
+    The data include wind speed at two different heights in m/s, air
+    temperature in two different heights in K, surface roughness length in m
+    and air pressure in Pa. The height in m for which the data applies is
+    specified in the second row.
+    In case no weather data file exists, an example weather data file is
+    automatically downloaded and stored in the same directory as this example.
+
+    Parameters
+    ----------
+    filename : str
+        Filename of the weather data file. Default: 'weather.csv'.
+
+    Other Parameters
+    ----------------
+    datapath : str, optional
+        Path where the weather data file is stored.
+        Default is the same directory this example is stored in.
+
+    Returns
+    -------
+    :pandas:`pandas.DataFrame<frame>`
+        DataFrame with time series for wind speed `wind_speed` in m/s,
+        temperature `temperature` in K, roughness length `roughness_length`
+        in m, and pressure `pressure` in Pa.
+        The columns of the DataFrame are a MultiIndex where the first level
+        contains the variable name as string (e.g. 'wind_speed') and the
+        second level contains the height as integer at which it applies
+        (e.g. 10, if it was measured at a height of 10 m). The index is a
+        DateTimeIndex.
+
+    """
+
+    if "datapath" not in kwargs:
+        kwargs["datapath"] = os.path.dirname(__file__)
+
+    file = os.path.join(kwargs["datapath"], filename)
+
+    # download example weather data file in case it does not yet exist
+    if not os.path.isfile(file):
+        logging.debug("Download weather data for example.")
+        req = requests.get("https://osf.io/59bqn/download")
+        with open(file, "wb") as fout:
+            fout.write(req.content)
+
+    # read csv file
+    weather_df = pd.read_csv(
+        file,
+        index_col=0,
+        header=[0, 1],
+    )
+    weather_df.index = pd.to_datetime(weather_df.index, utc=True)
+
+    # change time zone
+    weather_df.index = weather_df.index.tz_convert("Europe/Berlin")
+
+    return weather_df
+
+
+def run_example():
+    r"""
+    Runs the example.
+
+    """
+    weather = get_weather_data("weather.csv")
+    e126 = WindTurbine(
+        **{
+            "turbine_type": "E-126/4200",  # turbine type as in register
+            "hub_height": 135,  # in m
+        }
+    )
+    v90 = WindTurbine(
+        **{
+            "turbine_type": "V90/2000",  # turbine name as in register
+            "hub_height": 120,  # in m
+        }
+    )
+
+    # specification of wind farm data (2) containing a wind farm efficiency
+    # wind turbine fleet is provided using the to_group function
+    example_farm = WindFarm(
+        **{
+            "name": "example_farm_2",
+            "wind_turbine_fleet": [
+                v90.to_group(number_turbines=6),
+                e126.to_group(total_capacity=12.6e6),
+            ],
+            "efficiency": 0.5
+        }
+    )
+
+    example_cluster = WindTurbineCluster(**{
+        "name": "Offshore_cluster",
+        "wind_farms": [example_farm, example_farm],
+    })
+
+    # ModelChain with wind farm
+    mc_farm = TurbineClusterModelChain(
+        example_farm, wake_losses_model=None,
+    ).run_model(weather)
+    flh_farm = mc_farm.power_output.sum() / example_farm.nominal_power
+
+    # ModelChain with wind cluster
+    mc_cluster = TurbineClusterModelChain(
+        example_cluster, wake_losses_model=None,
+    ).run_model(weather)
+    flh_cluster = mc_cluster.power_output.sum() / example_cluster.nominal_power
+
+    print("Full Load Hours of cluster:", flh_cluster)
+    print("Full Load Hours of farm:", flh_farm)
+
+
+if __name__ == "__main__":
+    run_example()