2424}
2525
2626
27- def read_tmy3 (filename , coerce_year = None , map_variables = None , recolumn = None ,
28- encoding = None ):
27+ def read_tmy3 (filename , coerce_year = None , map_variables = True , encoding = None ):
2928 """Read a TMY3 file into a pandas dataframe.
3029
3130 Note that values contained in the metadata dictionary are unchanged
@@ -44,13 +43,9 @@ def read_tmy3(filename, coerce_year=None, map_variables=None, recolumn=None,
4443 If supplied, the year of the index will be set to ``coerce_year``, except
4544 for the last index value which will be set to the *next* year so that
4645 the index increases monotonically.
47- map_variables : bool, optional
46+ map_variables : bool, default True
4847 When True, renames columns of the DataFrame to pvlib variable names
4948 where applicable. See variable :const:`VARIABLE_MAP`.
50- recolumn : bool (deprecated, use map_variables instead)
51- If ``True``, apply standard names to TMY3 columns. Typically this
52- results in stripping the units from the column name.
53- Cannot be used in combination with ``map_variables``.
5449 encoding : str, optional
5550 Encoding of the file. For files that contain non-UTF8 characters it may
5651 be necessary to specify an alternative encoding, e.g., for
@@ -233,74 +228,15 @@ def read_tmy3(filename, coerce_year=None, map_variables=None, recolumn=None,
233228 # unit must be in (D,h,m,s,ms,us,ns), but pandas>=0.24 allows unit='hour'
234229 data .index = data_ymd + pd .to_timedelta (shifted_hour , unit = 'h' ) \
235230 + pd .to_timedelta (minutes , unit = 'min' )
236- # shouldnt' specify both recolumn and map_variables
237- if recolumn is not None and map_variables is not None :
238- msg = "`map_variables` and `recolumn` cannot both be specified"
239- raise ValueError (msg )
240- elif map_variables is None and recolumn is not None :
241- warnings .warn (
242- 'The recolumn parameter is deprecated and will be removed in '
243- 'pvlib 0.11.0. Use `map_variables` instead, although note that '
244- 'its behavior is different from `recolumn`.' ,
245- pvlibDeprecationWarning )
246- elif map_variables is None and recolumn is None :
247- warnings .warn (
248- 'TMY3 variable names will be renamed to pvlib conventions by '
249- 'default starting in pvlib 0.11.0. Specify map_variables=True '
250- 'to enable that behavior now, or specify map_variables=False '
251- 'to hide this warning.' , pvlibDeprecationWarning )
231+
252232 if map_variables :
253233 data = data .rename (columns = VARIABLE_MAP )
254- elif recolumn or (recolumn is None and map_variables is None ):
255- data = _recolumn (data )
256234
257235 data = data .tz_localize (int (meta ['TZ' ] * 3600 ))
258236
259237 return data , meta
260238
261239
262- def _recolumn (tmy3_dataframe ):
263- """
264- Rename the columns of the TMY3 DataFrame.
265-
266- Parameters
267- ----------
268- tmy3_dataframe : DataFrame
269- inplace : bool
270- passed to DataFrame.rename()
271-
272- Returns
273- -------
274- Recolumned DataFrame.
275- """
276- # paste in the header as one long line
277- raw_columns = 'ETR (W/m^2),ETRN (W/m^2),GHI (W/m^2),GHI source,GHI uncert (%),DNI (W/m^2),DNI source,DNI uncert (%),DHI (W/m^2),DHI source,DHI uncert (%),GH illum (lx),GH illum source,Global illum uncert (%),DN illum (lx),DN illum source,DN illum uncert (%),DH illum (lx),DH illum source,DH illum uncert (%),Zenith lum (cd/m^2),Zenith lum source,Zenith lum uncert (%),TotCld (tenths),TotCld source,TotCld uncert (code),OpqCld (tenths),OpqCld source,OpqCld uncert (code),Dry-bulb (C),Dry-bulb source,Dry-bulb uncert (code),Dew-point (C),Dew-point source,Dew-point uncert (code),RHum (%),RHum source,RHum uncert (code),Pressure (mbar),Pressure source,Pressure uncert (code),Wdir (degrees),Wdir source,Wdir uncert (code),Wspd (m/s),Wspd source,Wspd uncert (code),Hvis (m),Hvis source,Hvis uncert (code),CeilHgt (m),CeilHgt source,CeilHgt uncert (code),Pwat (cm),Pwat source,Pwat uncert (code),AOD (unitless),AOD source,AOD uncert (code),Alb (unitless),Alb source,Alb uncert (code),Lprecip depth (mm),Lprecip quantity (hr),Lprecip source,Lprecip uncert (code),PresWth (METAR code),PresWth source,PresWth uncert (code)' # noqa: E501
278-
279- new_columns = [
280- 'ETR' , 'ETRN' , 'GHI' , 'GHISource' , 'GHIUncertainty' ,
281- 'DNI' , 'DNISource' , 'DNIUncertainty' , 'DHI' , 'DHISource' ,
282- 'DHIUncertainty' , 'GHillum' , 'GHillumSource' , 'GHillumUncertainty' ,
283- 'DNillum' , 'DNillumSource' , 'DNillumUncertainty' , 'DHillum' ,
284- 'DHillumSource' , 'DHillumUncertainty' , 'Zenithlum' ,
285- 'ZenithlumSource' , 'ZenithlumUncertainty' , 'TotCld' , 'TotCldSource' ,
286- 'TotCldUncertainty' , 'OpqCld' , 'OpqCldSource' , 'OpqCldUncertainty' ,
287- 'DryBulb' , 'DryBulbSource' , 'DryBulbUncertainty' , 'DewPoint' ,
288- 'DewPointSource' , 'DewPointUncertainty' , 'RHum' , 'RHumSource' ,
289- 'RHumUncertainty' , 'Pressure' , 'PressureSource' ,
290- 'PressureUncertainty' , 'Wdir' , 'WdirSource' , 'WdirUncertainty' ,
291- 'Wspd' , 'WspdSource' , 'WspdUncertainty' , 'Hvis' , 'HvisSource' ,
292- 'HvisUncertainty' , 'CeilHgt' , 'CeilHgtSource' , 'CeilHgtUncertainty' ,
293- 'Pwat' , 'PwatSource' , 'PwatUncertainty' , 'AOD' , 'AODSource' ,
294- 'AODUncertainty' , 'Alb' , 'AlbSource' , 'AlbUncertainty' ,
295- 'Lprecipdepth' , 'Lprecipquantity' , 'LprecipSource' ,
296- 'LprecipUncertainty' , 'PresWth' , 'PresWthSource' ,
297- 'PresWthUncertainty' ]
298-
299- mapping = dict (zip (raw_columns .split (',' ), new_columns ))
300-
301- return tmy3_dataframe .rename (columns = mapping )
302-
303-
304240def read_tmy2 (filename ):
305241 """
306242 Read a TMY2 file into a DataFrame.
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