tmy with coerce year fails if February contains leap year, eg Greensboro-NC

[mikofski]

Describe the bug
Try to read Greensboro TMY3 with coerce_year=1990

raises the follow traceback:

In [1]: import pvlib

In [2]: greensboro = pvlib.iotools.read_tmy3('723170TYA.CSV', coerce_year=1990)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in converter(*date_cols)
   3280                 result = tools.to_datetime(
-> 3281                     date_parser(*date_cols), errors="ignore", cache=cache_dates
   3282                 )

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pvlib\iotools\tmy.py in <lambda>(*x)
    194         parse_dates={'datetime': ['Date (MM/DD/YYYY)', 'Time (HH:MM)']},
--> 195         date_parser=lambda *x: _parsedate(*x, year=coerce_year),
    196         index_col='datetime')

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pvlib\iotools\tmy.py in _parsedate(ymd, hour, year)
    215     # and dateutil's inability to handle that.
--> 216     offset_hour = int(hour[:2]) - 1
    217     offset_datetime = '{} {}:00'.format(ymd, offset_hour)

TypeError: only size-1 arrays can be converted to Python scalars

During handling of the above exception, another exception occurred:

TypeError                                 Traceback (most recent call last)
~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in converter(*date_cols)
   3291                             parser=date_parser,
-> 3292                             dayfirst=dayfirst,
   3293                         ),

pandas/_libs/tslibs/parsing.pyx in pandas._libs.tslibs.parsing.try_parse_dates()

pandas/_libs/tslibs/parsing.pyx in pandas._libs.tslibs.parsing.try_parse_dates()

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pvlib\iotools\tmy.py in <lambda>(*x)
    194         parse_dates={'datetime': ['Date (MM/DD/YYYY)', 'Time (HH:MM)']},
--> 195         date_parser=lambda *x: _parsedate(*x, year=coerce_year),
    196         index_col='datetime')

TypeError: _parsedate() missing 1 required positional argument: 'hour'

During handling of the above exception, another exception occurred:

ValueError                                Traceback (most recent call last)
<ipython-input-2-6078abbb94dd> in <module>
----> 1 greensboro = pvlib.iotools.read_tmy3('723170TYA.CSV', coerce_year=1990)

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pvlib\iotools\tmy.py in read_tmy3(filename, coerce_year, recolumn)
    194         parse_dates={'datetime': ['Date (MM/DD/YYYY)', 'Time (HH:MM)']},
    195         date_parser=lambda *x: _parsedate(*x, year=coerce_year),
--> 196         index_col='datetime')
    197
    198     if recolumn:

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
    683         )
    684
--> 685         return _read(filepath_or_buffer, kwds)
    686
    687     parser_f.__name__ = name

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
    461
    462     try:
--> 463         data = parser.read(nrows)
    464     finally:
    465         parser.close()

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   1152     def read(self, nrows=None):
   1153         nrows = _validate_integer("nrows", nrows)
-> 1154         ret = self._engine.read(nrows)
   1155
   1156         # May alter columns / col_dict

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   2132             data = {k: v for k, (i, v) in zip(names, data)}
   2133
-> 2134             names, data = self._do_date_conversions(names, data)
   2135             index, names = self._make_index(data, alldata, names)
   2136

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in _do_date_conversions(self, names, data)
   1883                 self.index_names,
   1884                 names,
-> 1885                 keep_date_col=self.keep_date_col,
   1886             )
   1887

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in _process_date_conversion(data_dict, converter, parse_spec, index_col, index_names, columns, keep_date_col)
   3355
   3356             _, col, old_names = _try_convert_dates(
-> 3357                 converter, colspec, data_dict, orig_names
   3358             )
   3359

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in _try_convert_dates(parser, colspec, data_dict, columns)
   3388     to_parse = [data_dict[c] for c in colnames if c in data_dict]
   3389
-> 3390     new_col = parser(*to_parse)
   3391     return new_name, new_col, colnames
   3392

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\parsers.py in converter(*date_cols)
   3295                     )
   3296                 except Exception:
-> 3297                     return generic_parser(date_parser, *date_cols)
   3298
   3299     return converter

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pandas\io\date_converters.py in generic_parser(parse_func, *cols)
     36     for i in range(N):
     37         args = [c[i] for c in cols]
---> 38         results[i] = parse_func(*args)
     39
     40     return results

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pvlib\iotools\tmy.py in <lambda>(*x)
    193         csvdata, header=0,
    194         parse_dates={'datetime': ['Date (MM/DD/YYYY)', 'Time (HH:MM)']},
--> 195         date_parser=lambda *x: _parsedate(*x, year=coerce_year),
    196         index_col='datetime')
    197

~\AppData\Local\Continuum\miniconda3\envs\py37\lib\site-packages\pvlib\iotools\tmy.py in _parsedate(ymd, hour, year)
    219     true_date = offset_date + dateutil.relativedelta.relativedelta(hours=1)
    220     if year is not None:
--> 221         true_date = true_date.replace(year=year)
    222     return true_date
    223

ValueError: day is out of range for month

To Reproduce
Steps to reproduce the behavior:

1. download tmy3 for greensboro
2. start python import pvlib
3. execute pvlib.iotools.read_tmy3('723170TYA.CSV', coerce_year=1990)
4. See error

Also, seems to works fine if coerce_year=None, but actually raises a different silent issue:

Note the February 29th at midnite in between Feb. 28th and March 1st

Versions:

• pvlib.__version__: 0.7.1
• pandas.__version__: 0.25.3
• python: 3.7.6
• numpy: 1.18.1

Additional context
Look at cells A1416 around end of February:

2/28/1996	22:00
2/28/1996	23:00
2/28/1996	24:00:00
3/1/1990	1:00
3/1/1990	2:00
3/1/1990	3:00

PS you can paste from Excel into GitHub and it GH automatically formats the data as MD table, nice!