diff --git a/docs/sphinx/source/api.rst b/docs/sphinx/source/api.rst index 2ba6957349..02286b9f9b 100644 --- a/docs/sphinx/source/api.rst +++ b/docs/sphinx/source/api.rst @@ -322,6 +322,8 @@ relevant to solar energy modeling. iotools.read_srml iotools.read_srml_month_from_solardat iotools.read_surfrad + iotools.read_midc + iotools.read_midc_raw_data_from_nrel A :py:class:`~pvlib.location.Location` object may be created from metadata in some files. diff --git a/docs/sphinx/source/whatsnew/v0.6.1.rst b/docs/sphinx/source/whatsnew/v0.6.1.rst index c462a2c776..a32a12873c 100644 --- a/docs/sphinx/source/whatsnew/v0.6.1.rst +++ b/docs/sphinx/source/whatsnew/v0.6.1.rst @@ -36,6 +36,8 @@ Enhancements :py:func:`pvlib.iotools.read_srml_month_from_solardat` to read University of Oregon Solar Radiation Monitoring Laboratory data. (:issue:`589`) * Created :py:func:`pvlib.iotools.read_surfrad` to read NOAA SURFRAD data. (:issue:`590`) +* Created :py:func:`pvlib.iotools.read_midc` and :py:func:`pvlib.iotools.read_midc_raw_data_from_nrel` + to read NREL MIDC data. (:issue:`601`) Bug fixes ~~~~~~~~~ diff --git a/pvlib/data/midc_20181014.txt b/pvlib/data/midc_20181014.txt new file mode 100644 index 0000000000..1647fc79a7 --- /dev/null +++ b/pvlib/data/midc_20181014.txt @@ -0,0 +1,1441 @@ +DATE (MM/DD/YYYY),MST,Global PSP [W/m^2],Global PSP (Accumulated) [kWhr/m^2],Temperature @ 2m [deg C],Temperature @ 50m [deg C],Temperature @ 80m [deg C] +10/14/2018,00:00,-7.69272,4.61923,-4.669,-4.987,-5.171 +10/14/2018,00:01,-7.76346,0,-4.68,-5.026,-5.198 +10/14/2018,00:02,-7.83421,0,-4.687,-5.032,-5.195 +10/14/2018,00:03,-7.83729,0,-4.694,-5.002,-5.2 +10/14/2018,00:04,-7.75423,0,-4.699,-5.011,-5.191 +10/14/2018,00:05,-7.72963,0,-4.71,-5.003,-5.185 +10/14/2018,00:06,-7.75426,0,-4.718,-5.008,-5.162 +10/14/2018,00:07,-7.82195,0,-4.721,-4.981,-5.16 +10/14/2018,00:08,-7.84962,0,-4.723,-4.995,-5.16 +10/14/2018,00:09,-7.81269,0,-4.712,-5.013,-5.152 +10/14/2018,00:10,-7.59122,0,-4.697,-4.995,-5.175 +10/14/2018,00:11,-7.55737,0,-4.704,-5.044,-5.198 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+0,2018,291,2358,-0.43341,0.0,-2.04105,-2.39898,-7999.0,-7999.0,-7999.0,20.27,13.33,17.24,61.39,927.1519999999999,1.371,356.4,3.2 +0,2018,291,2359,-0.43341,0.0,-2.1890400000000003,-2.39898,-7999.0,-7999.0,-7999.0,20.26,13.33,17.25,61.51,927.1360000000001,1.4969999999999999,327.4,3.95 diff --git a/pvlib/iotools/__init__.py b/pvlib/iotools/__init__.py index f7d0f47915..6a04a21cae 100644 --- a/pvlib/iotools/__init__.py +++ b/pvlib/iotools/__init__.py @@ -3,3 +3,5 @@ from pvlib.iotools.srml import read_srml # noqa: F401 from pvlib.iotools.srml import read_srml_month_from_solardat # noqa: F401 from pvlib.iotools.surfrad import read_surfrad # noqa: F401 +from pvlib.iotools.midc import read_midc # noqa: F401 +from pvlib.iotools.midc import read_midc_raw_data_from_nrel # noqa: F401 diff --git a/pvlib/iotools/midc.py b/pvlib/iotools/midc.py new file mode 100644 index 0000000000..1d68278fd5 --- /dev/null +++ b/pvlib/iotools/midc.py @@ -0,0 +1,196 @@ +"""Functions to read NREL MIDC data. +""" +from functools import partial +import pandas as pd + +# VARIABLE_MAP is a dictionary mapping partial MIDC field names to their +# pvlib names. See docstring of read_midc for description. + +VARIABLE_MAP = { + 'Direct': 'dni', + 'Global': 'ghi', + 'Diffuse': 'dhi', + 'Airmass': 'airmass', + 'Azimuth Angle': 'solar_azimuth', + 'Zenith Angle': 'solar_zenith', + 'Air Temperature': 'temp_air', + 'Temperature': 'temp_air', + 'Dew Point Temp': 'temp_dew', + 'Relative Humidity': 'relative_humidity', +} + +# Maps problematic timezones to 'Etc/GMT' for parsing. + +TZ_MAP = { + 'PST': 'Etc/GMT+8', + 'CST': 'Etc/GMT+6', +} + + +def map_midc_to_pvlib(variable_map, field_name): + """A mapper function to rename Dataframe columns to their pvlib counterparts. + + Parameters + ---------- + variable_map: Dictionary + A dictionary for mapping MIDC field name to pvlib name. See + VARIABLE_MAP for default value and description of how to construct + this argument. + field_name: string + The Column to map. + + Returns + ------- + label: string + The pvlib variable name associated with the MIDC field or the input if + a mapping does not exist. + + Notes + ----- + Will fail if field_name to be mapped matches an entry in VARIABLE_MAP and + does not contain brackets. This should not be an issue unless MIDC file + headers are updated. + + """ + new_field_name = field_name + for midc_name, pvlib_name in variable_map.items(): + if field_name.startswith(midc_name): + # extract the instrument and units field and then remove units + instrument_units = field_name[len(midc_name):] + units_index = instrument_units.find('[') + instrument = instrument_units[:units_index - 1] + new_field_name = pvlib_name + instrument.replace(' ', '_') + break + return new_field_name + + +def format_index(data): + """Create DatetimeIndex for the Dataframe localized to the timezone provided + as the label of the second (time) column. + + Parameters + ---------- + data: Dataframe + Must contain 'DATE (MM/DD/YYYY)' column, second column must be labeled + with the timezone and contain times in 'HH:MM' format. + + Returns + ------- + data: Dataframe + Dataframe with DatetimeIndex localized to the provided timezone. + """ + tz_raw = data.columns[1] + timezone = TZ_MAP.get(tz_raw, tz_raw) + datetime = data['DATE (MM/DD/YYYY)'] + data[tz_raw] + datetime = pd.to_datetime(datetime, format='%m/%d/%Y%H:%M') + data = data.set_index(datetime) + data = data.tz_localize(timezone) + return data + + +def format_index_raw(data): + """Create DatetimeIndex for the Dataframe localized to the timezone provided + as the label of the third column. + + Parameters + ---------- + data: Dataframe + Must contain columns 'Year' and 'DOY'. Timezone must be found as the + label of the third (time) column. + + Returns + ------- + data: Dataframe + The data with a Datetime index localized to the provided timezone. + """ + tz_raw = data.columns[3] + timezone = TZ_MAP.get(tz_raw, tz_raw) + year = data.Year.apply(str) + jday = data.DOY.apply(lambda x: '{:03d}'.format(x)) + time = data[tz_raw].apply(lambda x: '{:04d}'.format(x)) + index = pd.to_datetime(year + jday + time, format="%Y%j%H%M") + data = data.set_index(index) + data = data.tz_localize(timezone) + return data + + +def read_midc(filename, variable_map=VARIABLE_MAP, raw_data=False): + """Read in National Renewable Energy Laboratory Measurement and + Instrumentation Data Center [1]_ weather data. + + Parameters + ---------- + filename: string + Filename or url of data to read. + variable_map: dictionary + Dictionary for mapping MIDC field names to pvlib names. See variable + `VARIABLE_MAP` for default and Notes section below for a description of + its format. + raw_data: boolean + Set to true to use format_index_raw to correctly format the date/time + columns of MIDC raw data files. + + Returns + ------- + data: Dataframe + A dataframe with DatetimeIndex localized to the provided timezone. + + Notes + ----- + Keys of the `variable_map` dictionary should include the first part + of a MIDC field name which indicates the variable being measured. + + e.g. 'Global PSP [W/m^2]' is entered as a key of 'Global' + + The 'PSP' indicating instrument is appended to the pvlib variable name + after mapping to differentiate measurements of the same variable. For a + full list of pvlib variable names see the `Variable Style Rules + `_. + + Be sure to check the units for the variables you will use on the + `MIDC site `_. + + References + ---------- + .. [1] NREL: Measurement and Instrumentation Data Center + `https://midcdmz.nrel.gov/ `_ + """ + data = pd.read_csv(filename) + if raw_data: + data = format_index_raw(data) + else: + data = format_index(data) + mapper = partial(map_midc_to_pvlib, variable_map) + data = data.rename(columns=mapper) + return data + + +def read_midc_raw_data_from_nrel(site, start, end): + """Request and read MIDC data directly from the raw data api. + + Parameters + ---------- + site: string + The MIDC station id. + start: datetime + Start date for requested data. + end: datetime + End date for requested data. + + Returns + ------- + data: + Dataframe with DatetimeIndex localized to the station location. + + Notes + ----- + Requests spanning an instrumentation change will yield an error. See the + MIDC raw data api page here_ for more details and considerations. + .. _here: https://midcdmz.nrel.gov/apps/data_api_doc.pl?_idtextlist + """ + args = {'site': site, + 'begin': start.strftime('%Y%m%d'), + 'end': end.strftime('%Y%m%d')} + endpoint = 'https://midcdmz.nrel.gov/apps/data_api.pl?' + url = endpoint + '&'.join(['{}={}'.format(k, v) for k, v in args.items()]) + return read_midc(url, raw_data=True) diff --git a/pvlib/test/test_midc.py b/pvlib/test/test_midc.py new file mode 100644 index 0000000000..4efcdea865 --- /dev/null +++ b/pvlib/test/test_midc.py @@ -0,0 +1,73 @@ +import inspect +import os + +import pandas as pd +from pandas.util.testing import network +import pytest +import pytz + +from pvlib.iotools import midc + + +test_dir = os.path.dirname( + os.path.abspath(inspect.getfile(inspect.currentframe()))) +midc_testfile = os.path.join(test_dir, '../data/midc_20181014.txt') +midc_raw_testfile = os.path.join(test_dir, '../data/midc_raw_20181018.txt') +midc_network_testfile = ('https://midcdmz.nrel.gov/apps/data_api.pl' + '?site=UAT&begin=20181018&end=20181019') + + +@pytest.mark.parametrize('field_name,expected', [ + ('Temperature @ 2m [deg C]', 'temp_air_@_2m'), + ('Global PSP [W/m^2]', 'ghi_PSP'), + ('Temperature @ 50m [deg C]', 'temp_air_@_50m'), + ('Other Variable [units]', 'Other Variable [units]'), +]) +def test_read_midc_mapper_function(field_name, expected): + assert midc.map_midc_to_pvlib(midc.VARIABLE_MAP, field_name) == expected + + +def test_midc_format_index(): + data = pd.read_csv(midc_testfile) + data = midc.format_index(data) + start = pd.Timestamp("20181014 00:00") + start = start.tz_localize("MST") + end = pd.Timestamp("20181014 23:59") + end = end.tz_localize("MST") + assert type(data.index) == pd.DatetimeIndex + assert data.index[0] == start + assert data.index[-1] == end + + +def test_midc_format_index_tz_conversion(): + data = pd.read_csv(midc_testfile) + data = data.rename(columns={'MST': 'PST'}) + data = midc.format_index(data) + assert data.index[0].tz == pytz.timezone('Etc/GMT+8') + + +def test_midc_format_index_raw(): + data = pd.read_csv(midc_raw_testfile) + data = midc.format_index_raw(data) + start = pd.Timestamp('20181018 00:00') + start = start.tz_localize('MST') + end = pd.Timestamp('20181018 23:59') + end = end.tz_localize('MST') + assert data.index[0] == start + assert data.index[-1] == end + + +def test_read_midc_var_mapping_as_arg(): + data = midc.read_midc(midc_testfile, variable_map=midc.VARIABLE_MAP) + assert 'ghi_PSP' in data.columns + assert 'temp_air_@_2m' in data.columns + assert 'temp_air_@_50m' in data.columns + + +@network +def test_read_midc_raw_data_from_nrel(): + start_ts = pd.Timestamp('20181018') + end_ts = pd.Timestamp('20181019') + data = midc.read_midc_raw_data_from_nrel('UAT', start_ts, end_ts) + assert 'dni_Normal' in data.columns + assert data.index.size == 2880