Add variable mapping of psm3

docs/sphinx/source/whatsnew/v0.9.1.rst

@@ -19,6 +19,8 @@ Deprecations
 
 Enhancements
 ~~~~~~~~~~~~
+* Added ``map_variables`` option to :py:func:`pvlib.iotools.get_psm3` and
+  :py:func:`pvlib.iotools.read_psm3` (:pull:`1374`)
 * Added `pvlib.bifacial.infinite_sheds`, containing a model for irradiance
   on front and back surfaces of bifacial arrays. (:pull:`717`)
 * Added ``map_variables`` option to :func:`~pvlib.iotools.read_crn` (:pull:`1368`)

pvlib/iotools/psm3.py

@@ -1,4 +1,3 @@
-
 """
 Get PSM3 TMY
 see https://developer.nrel.gov/docs/solar/nsrdb/psm3_data_download/
@@ -8,6 +7,8 @@
 import requests
 import pandas as pd
 from json import JSONDecodeError
+import warnings
+from pvlib._deprecation import pvlibDeprecationWarning
 
 NSRDB_API_BASE = "https://developer.nrel.gov"
 PSM_URL = NSRDB_API_BASE + "/api/nsrdb/v2/solar/psm3-download.csv"
@@ -20,12 +21,31 @@
     'surface_pressure', 'wind_direction', 'wind_speed')
 PVLIB_PYTHON = 'pvlib python'
 
+# Dictionary mapping PSM3 names to pvlib names
+VARIABLE_MAP = {
+    'GHI': 'ghi',
+    'DHI': 'dhi',
+    'DNI': 'dni',
+    'Clearsky GHI': 'ghi_clear',
+    'Clearsky DHI': 'dhi_clear',
+    'Clearsky DNI': 'dni_clear',
+    'Solar Zenith Angle': 'solar_zenith',
+    'Temperature': 'temp_air',
+    'Relative Humidity': 'relative_humidity',
+    'Dew point': 'temp_dew',
+    'Pressure': 'pressure',
+    'Wind Direction': 'wind_direction',
+    'Wind Speed': 'wind_speed',
+    'Surface Albedo': 'albedo',
+    'Precipitable Water': 'precipitable_water',
+}
+
 
 def get_psm3(latitude, longitude, api_key, email, names='tmy', interval=60,
              attributes=ATTRIBUTES, leap_day=False, full_name=PVLIB_PYTHON,
-             affiliation=PVLIB_PYTHON, timeout=30):
+             affiliation=PVLIB_PYTHON, map_variables=None, timeout=30):
     """
-    Retrieve NSRDB PSM3 timeseries weather data from the PSM3 API.  The NSRDB
+    Retrieve NSRDB PSM3 timeseries weather data from the PSM3 API. The NSRDB
     is described in [1]_ and the PSM3 API is described in [2]_, [3]_, and [4]_.
 
     .. versionchanged:: 0.9.0
@@ -48,19 +68,23 @@ def get_psm3(latitude, longitude, api_key, email, names='tmy', interval=60,
         PSM3 API parameter specifing year or TMY variant to download, see notes
         below for options
     interval : int, {60, 5, 15, 30}
-        interval size in minutes, must be 5, 15, 30 or 60.  Only used for
+        interval size in minutes, must be 5, 15, 30 or 60. Only used for
         single-year requests (i.e., it is ignored for tmy/tgy/tdy requests).
     attributes : list of str, optional
         meteorological fields to fetch. If not specified, defaults to
         ``pvlib.iotools.psm3.ATTRIBUTES``. See references [2]_, [3]_, and [4]_
-        for lists of available fields.
+        for lists of available fields. Alternatively, pvlib names may also be
+        used (e.g. 'ghi' rather than 'GHI'); see :const:`VARIABLE_MAP`.
     leap_day : boolean, default False
-        include leap day in the results.  Only used for single-year requests
+        include leap day in the results. Only used for single-year requests
         (i.e., it is ignored for tmy/tgy/tdy requests).
     full_name : str, default 'pvlib python'
         optional
     affiliation : str, default 'pvlib python'
         optional
+    map_variables: boolean, optional
+        When true, renames columns of the Dataframe to pvlib variable names
+        where applicable. See variable :const:`VARIABLE_MAP`.
     timeout : int, default 30
         time in seconds to wait for server response before timeout
 
@@ -96,14 +120,15 @@ def get_psm3(latitude, longitude, api_key, email, names='tmy', interval=60,
     +===========+=============================================================+
     | Year      | 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, |
     |           | 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, |
-    |           | 2018, 2019                                                  |
+    |           | 2018, 2019, 2020                                            |
     +-----------+-------------------------------------------------------------+
     | TMY       | tmy, tmy-2016, tmy-2017, tdy-2017, tgy-2017,                |
     |           | tmy-2018, tdy-2018, tgy-2018, tmy-2019, tdy-2019, tgy-2019  |
+    |           | tmy-2020, tdy-2020, tgy-2020                                |
     +-----------+-------------------------------------------------------------+
 
     .. warning:: PSM3 is limited to data found in the NSRDB, please consult the
-        references below for locations with available data.  Additionally,
+        references below for locations with available data. Additionally,
         querying data with < 30-minute resolution uses a different API endpoint
         with fewer available fields (see [4]_).
 
@@ -133,6 +158,13 @@ def get_psm3(latitude, longitude, api_key, email, names='tmy', interval=60,
     # convert to string to accomodate integer years being passed in
     names = str(names)
 
+    # convert pvlib names in attributes to psm3 convention (reverse mapping)
+    # unlike psm3 columns, attributes are lower case and with underscores
+    amap = {value: key.lower().replace(' ', '_') for (key, value) in
+            VARIABLE_MAP.items()}
+    attributes = [amap.get(a, a) for a in attributes]
+    attributes = list(set(attributes))  # remove duplicate values
+
     # required query-string parameters for request to PSM3 API
     params = {
         'api_key': api_key,
@@ -167,12 +199,12 @@ def get_psm3(latitude, longitude, api_key, email, names='tmy', interval=60,
     # the CSV is in the response content as a UTF-8 bytestring
     # to use pandas we need to create a file buffer from the response
     fbuf = io.StringIO(response.content.decode('utf-8'))
-    return parse_psm3(fbuf)
+    return parse_psm3(fbuf, map_variables)
 
 
-def parse_psm3(fbuf):
+def parse_psm3(fbuf, map_variables=None):
     """
-    Parse an NSRDB PSM3 weather file (formatted as SAM CSV).  The NSRDB
+    Parse an NSRDB PSM3 weather file (formatted as SAM CSV). The NSRDB
     is described in [1]_ and the SAM CSV format is described in [2]_.
 
     .. versionchanged:: 0.9.0
@@ -184,6 +216,9 @@ def parse_psm3(fbuf):
     ----------
     fbuf: file-like object
         File-like object containing data to read.
+    map_variables: bool
+        When true, renames columns of the Dataframe to pvlib variable names
+        where applicable. See variable VARIABLE_MAP.
 
     Returns
     -------
@@ -296,12 +331,25 @@ def parse_psm3(fbuf):
     tz = 'Etc/GMT%+d' % -metadata['Time Zone']
     data.index = pd.DatetimeIndex(dtidx).tz_localize(tz)
 
+    if map_variables is None:
+        warnings.warn(
+            'PSM3 variable names will be renamed to pvlib conventions by '
+            'default starting in pvlib 0.11.0. Specify map_variables=True '
+            'to enable that behavior now, or specify map_variables=False '
+            'to hide this warning.', pvlibDeprecationWarning)
+        map_variables = False
+    if map_variables:
+        data = data.rename(columns=VARIABLE_MAP)
+        metadata['latitude'] = metadata.pop('Latitude')
+        metadata['longitude'] = metadata.pop('Longitude')
+        metadata['altitude'] = metadata.pop('Elevation')
+
     return data, metadata
 
 
-def read_psm3(filename):
+def read_psm3(filename, map_variables=None):
     """
-    Read an NSRDB PSM3 weather file (formatted as SAM CSV).  The NSRDB
+    Read an NSRDB PSM3 weather file (formatted as SAM CSV). The NSRDB
     is described in [1]_ and the SAM CSV format is described in [2]_.
 
     .. versionchanged:: 0.9.0
@@ -313,6 +361,9 @@ def read_psm3(filename):
     ----------
     filename: str
         Filename of a file containing data to read.
+    map_variables: bool
+        When true, renames columns of the Dataframe to pvlib variable names
+        where applicable. See variable VARIABLE_MAP.
 
     Returns
     -------
@@ -334,5 +385,5 @@ def read_psm3(filename):
        <https://web.archive.org/web/20170207203107/https://sam.nrel.gov/sites/default/files/content/documents/pdf/wfcsv.pdf>`_
     """
     with open(str(filename), 'r') as fbuf:
-        content = parse_psm3(fbuf)
+        content = parse_psm3(fbuf, map_variables)
     return content

pvlib/tests/iotools/test_psm3.py

@@ -4,13 +4,14 @@
 
 import os
 from pvlib.iotools import psm3
-from ..conftest import DATA_DIR, RERUNS, RERUNS_DELAY
+from ..conftest import DATA_DIR, RERUNS, RERUNS_DELAY, assert_index_equal
 import numpy as np
 import pandas as pd
 import pytest
 from requests import HTTPError
 from io import StringIO
 import warnings
+from pvlib._deprecation import pvlibDeprecationWarning
 
 TMY_TEST_DATA = DATA_DIR / 'test_psm3_tmy-2017.csv'
 YEAR_TEST_DATA = DATA_DIR / 'test_psm3_2017.csv'
@@ -76,7 +77,8 @@ def assert_psm3_equal(data, metadata, expected):
 def test_get_psm3_tmy(nrel_api_key):
     """test get_psm3 with a TMY"""
     data, metadata = psm3.get_psm3(LATITUDE, LONGITUDE, nrel_api_key,
-                                   PVLIB_EMAIL, names='tmy-2017')
+                                   PVLIB_EMAIL, names='tmy-2017',
+                                   map_variables=False)
     expected = pd.read_csv(TMY_TEST_DATA)
     assert_psm3_equal(data, metadata, expected)
 
@@ -86,7 +88,8 @@ def test_get_psm3_tmy(nrel_api_key):
 def test_get_psm3_singleyear(nrel_api_key):
     """test get_psm3 with a single year"""
     data, metadata = psm3.get_psm3(LATITUDE, LONGITUDE, nrel_api_key,
-                                   PVLIB_EMAIL, names='2017', interval=30)
+                                   PVLIB_EMAIL, names='2017',
+                                   map_variables=False, interval=30)
     expected = pd.read_csv(YEAR_TEST_DATA)
     assert_psm3_equal(data, metadata, expected)
 
@@ -96,7 +99,8 @@ def test_get_psm3_singleyear(nrel_api_key):
 def test_get_psm3_5min(nrel_api_key):
     """test get_psm3 for 5-minute data"""
     data, metadata = psm3.get_psm3(LATITUDE, LONGITUDE, nrel_api_key,
-                                   PVLIB_EMAIL, names='2019', interval=5)
+                                   PVLIB_EMAIL, names='2019', interval=5,
+                                   map_variables=False)
     assert len(data) == 525600/5
     first_day = data.loc['2019-01-01']
     expected = pd.read_csv(YEAR_TEST_DATA_5MIN)
@@ -108,7 +112,7 @@ def test_get_psm3_5min(nrel_api_key):
 def test_get_psm3_check_leap_day(nrel_api_key):
     data_2012, _ = psm3.get_psm3(LATITUDE, LONGITUDE, nrel_api_key,
                                  PVLIB_EMAIL, names="2012", interval=60,
-                                 leap_day=True)
+                                 leap_day=True, map_variables=False)
     assert len(data_2012) == (8760 + 24)
 
 
@@ -133,7 +137,7 @@ def test_get_psm3_tmy_errors(
     """
     with pytest.raises(HTTPError) as excinfo:
         psm3.get_psm3(latitude, longitude, api_key, PVLIB_EMAIL,
-                      names=names, interval=interval)
+                      names=names, interval=interval, map_variables=False)
     # ensure the HTTPError caught isn't due to overuse of the API key
     assert "OVER_RATE_LIMIT" not in str(excinfo.value)
 
@@ -149,13 +153,49 @@ def io_input(request):
 
 def test_parse_psm3(io_input):
     """test parse_psm3"""
-    data, metadata = psm3.parse_psm3(io_input)
+    data, metadata = psm3.parse_psm3(io_input, map_variables=False)
     expected = pd.read_csv(YEAR_TEST_DATA)
     assert_psm3_equal(data, metadata, expected)
 
 
 def test_read_psm3():
     """test read_psm3"""
-    data, metadata = psm3.read_psm3(MANUAL_TEST_DATA)
+    data, metadata = psm3.read_psm3(MANUAL_TEST_DATA, map_variables=False)
     expected = pd.read_csv(YEAR_TEST_DATA)
     assert_psm3_equal(data, metadata, expected)
+
+
+def test_read_psm3_map_variables():
+    """test read_psm3 map_variables=True"""
+    data, metadata = psm3.read_psm3(MANUAL_TEST_DATA, map_variables=True)
+    columns_mapped = ['Year', 'Month', 'Day', 'Hour', 'Minute', 'dhi', 'dni',
+                      'ghi', 'dhi_clear', 'dni_clear', 'ghi_clear',
+                      'Cloud Type', 'Dew Point', 'apparent_zenith',
+                      'Fill Flag', 'albedo', 'wind_speed',
+                      'precipitable_water', 'wind_direction',
+                      'relative_humidity', 'temp_air', 'pressure']
+    data, metadata = psm3.read_psm3(MANUAL_TEST_DATA, map_variables=True)
+    assert_index_equal(data.columns, pd.Index(columns_mapped))
+
+
+@pytest.mark.remote_data
+@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
+def test_get_psm3_attribute_mapping(nrel_api_key):
+    """Test that pvlib names can be passed in as attributes and get correctly
+    reverse mapped to PSM3 names"""
+    data, meta = psm3.get_psm3(LATITUDE, LONGITUDE, nrel_api_key, PVLIB_EMAIL,
+                               names=2019, interval=60,
+                               attributes=['ghi', 'wind_speed'],
+                               map_variables=True)
+    assert 'ghi' in data.columns
+    assert 'wind_speed' in data.columns
+    assert 'latitude' in meta.keys()
+    assert 'longitude' in meta.keys()
+    assert 'altitude' in meta.keys()
+
+
+@pytest.mark.remote_data
+@pytest.mark.flaky(reruns=RERUNS, reruns_delay=RERUNS_DELAY)
+def test_psm3_variable_map_deprecation_warning(nrel_api_key):
+    with pytest.warns(pvlibDeprecationWarning, match='names will be renamed'):
+        _ = psm3.read_psm3(MANUAL_TEST_DATA)