Takes the path to an Datawell Waverider MKIII HIS(Historical Spectra) file and returns a DateTimeIndexed Dataframe with the option of resampling to 30 minutes.

month_his_to_df.py

import pandas as pd
from datetime import datetime

def month_his_to_df(his_file_path, resample=True):
    his_columns = ['date_time', 'Tp', 'dirp', 'sprp', 'Tz', 'Hm0', 'TI', 'T1', 
                   'Tc', 'Tdw2', 'Tdw1', 'Tpc', 'nu','eps','QP','Ss','TRef',
                   'TSea','Bat']
    month_dataframe = pd.io.parsers.read_csv(his_file_path, names = his_columns)
    date_time_array = []
    for date_time_string in month_dataframe['date_time'].values:
        date_time_array.append(datetime.strptime(date_time_string[:-5],
                                                 "%Y-%m-%dT%H:%M:%S"))
    month_dataframe.index = pd.DatetimeIndex(date_time_array)
    if resample:
        month_dataframe = month_dataframe.resample('30Min')
    return month_dataframe