def read():
global dataframe, heights, data
data = pd.read_table(os.path.join(data_dir, 'Data.dart'), delimiter=r'\s+', skiprows=(1), skipfooter=True, engine='python')
Data = pd.read_table(os.path.join(data_dir, 'Data.dart'), delimiter=r'\s+', skiprows=(1), skipfooter=True, engine='python')
heights = np.array(Data['m'])
year = np.array(Data['#yr'])
month = np.array(Data['mo'])
day = np.array(Data['dy'])
hour = np.array(Data['hr'])
minute = np.array(Data['mn'])
second = np.array(Data['s'])
time = np.array([year, month, day, hour, minute, second])
time = time.transpose()
timedata = np.array(xrange(len(time)))
timedata = timedata.tolist()
#print "Adjusting Date and Time..."
for i in xrange(len(time)):
s = '%d-%d-%d %d:%d:%d'%(time[i][0],time[i][1],time[i][2], time[i][3],time[i][4], time[i][5])
timedata[i] = s
dt = np.array(xrange(len(timedata)))
dt = dt.tolist()
tlen = len(timedata)
for i in xrange(tlen):
dt[i] = parser.parse(timedata[i])
#print "Putting data to dataframe structure..."
dataframe = pd.DataFrame({'Height':heights, 'time':dt})
def make_dataframes(DF, label):
heights = np.array(DF['m'])
year = np.array(DF['#yr'])
month = np.array(DF['mo'])
day = np.array(DF['dy'])
hour = np.array(DF['hr'])
minute = np.array(DF['mn'])
second = np.array(DF['s'])
time = np.array([year, month, day, hour, minute, second])
time = time.transpose()
timedata = np.array(xrange(len(time)))
timedata = timedata.tolist()
#print "Adjusting Date and Time..."
for i in xrange(len(time)):
s = '%d-%d-%d %d:%d:%d'%(time[i][0],time[i][1],time[i][2], time[i][3],time[i][4], time[i][5])
timedata[i] = s
dt = np.array(xrange(len(timedata)))
dt = dt.tolist()
tlen = len(timedata)
for i in xrange(tlen):
dt[i] = parser.parse(timedata[i])
#print "Putting data to dataframe structure..."
DF = pd.DataFrame({label:heights, 'time':dt})
return DF
