2424}
2525
2626
27- def read_tmy3 (filename_or_obj , coerce_year = None , map_variables = True , encoding = None ):
27+ def read_tmy3 (filename , coerce_year = None , map_variables = True , encoding = None ):
2828 """Read a TMY3 file into a pandas dataframe.
2929
3030 Note that values contained in the metadata dictionary are unchanged
@@ -37,7 +37,7 @@ def read_tmy3(filename_or_obj, coerce_year=None, map_variables=True, encoding=No
3737
3838 Parameters
3939 ----------
40- filename_or_obj : str, Path, or file-like object
40+ filename : str, Path, or file-like object
4141 A relative file path or absolute file path.
4242 coerce_year : int, optional
4343 If supplied, the year of the index will be set to ``coerce_year``, except
@@ -188,7 +188,7 @@ def read_tmy3(filename_or_obj, coerce_year=None, map_variables=True, encoding=No
188188 """ # noqa: E501
189189 head = ['USAF' , 'Name' , 'State' , 'TZ' , 'latitude' , 'longitude' , 'altitude' ]
190190
191- with _file_context_manager (filename_or_obj , mode = "r" , encoding = encoding ) as fbuf :
191+ with _file_context_manager (filename , mode = "r" , encoding = encoding ) as fbuf :
192192 # header information on the 1st line (0 indexing)
193193 firstline = fbuf .readline ()
194194 # use pandas to read the csv file buffer
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