sportsref/nfl/boxscores.py
def weather(self):
        """Returns a dictionary of weather-related info.

        Keys of the returned dict:
        * temp
        * windChill
        * relHumidity
        * windMPH

        :returns: Dict of weather data.
        """
        doc = self.get_doc()
        table = doc('table#game_info')
        giTable = sportsref.utils.parse_info_table(table)
        if 'weather' in giTable:
            regex = (
                r'(?:(?P<temp>\-?\d+) degrees )?'
                r'(?:relative humidity (?P<relHumidity>\d+)%, )?'
                r'(?:wind (?P<windMPH>\d+) mph, )?'
                r'(?:wind chill (?P<windChill>\-?\d+))?'
            )
            m = re.match(regex, giTable['weather'])
            d = m.groupdict()

            # cast values to int
            for k in d:
                try:
                    d[k] = int(d[k])
                except TypeError:
                    pass

            # one-off fixes
            d['windChill'] = (d['windChill'] if pd.notnull(d['windChill'])
                              else d['temp'])
            d['windMPH'] = d['windMPH'] if pd.notnull(d['windMPH']) else 0
            return d
        else:
            # no weather found, because it's a dome
            # TODO: what's relative humidity in a dome?
            return {
                'temp': 70, 'windChill': 70, 'relHumidity': None, 'windMPH': 0
            }
def weather(self):
        """Returns a dictionary of weather-related info.

        Keys of the returned dict:
        * temp
        * windChill
        * relHumidity
        * windMPH

        :returns: Dict of weather data.
        """
        doc = self.get_doc()
        table = doc('table#game_info')
        giTable = sportsref.utils.parse_info_table(table)
        if 'weather' in giTable:
            regex = (
                r'(?:(?P<temp>\-?\d+) degrees )?'
                r'(?:relative humidity (?P<relHumidity>\d+)%, )?'
                r'(?:wind (?P<windMPH>\d+) mph, )?'
                r'(?:wind chill (?P<windChill>\-?\d+))?'
            )
            m = re.match(regex, giTable['weather'])
            d = m.groupdict()

            # cast values to int
            for k in d:
                try:
                    d[k] = int(d[k])
                except TypeError:
                    pass

            # one-off fixes
            d['windChill'] = (d['windChill'] if pd.notnull(d['windChill'])
                              else d['temp'])
            d['windMPH'] = d['windMPH'] if pd.notnull(d['windMPH']) else 0
            return d
        else:
            # no weather found, because it's a dome
            # TODO: what's relative humidity in a dome?
            return {
                'temp': 70, 'windChill': 70, 'relHumidity': None, 'windMPH': 0
            }
Returns a dictionary of weather-related info.

        Keys of the returned dict:
        * temp
        * windChill
        * relHumidity
        * windMPH

        :returns: Dict of weather data.