def extract_df_info_ERCZO(csv_file):
header = []
units = []
method = []
# get the header and datatypes
with open(csv_file, 'rb') as f:
lines = f.readlines()
header = lines[0].strip().decode().split(',')
data = lines[1].strip().decode().split(',')
types = [ut.get_type(v) for v in data]
# reformat the column names
colnames = []
unit_labels = []
for i in range(len(header)):
unit_label = header[i][header[i].find("("):header[i].find(")") + 1]
unit_labels.append(unit_label)
print(header[i])
print(unit_label)
u = unit_label if unit_label != '' else 'na'
unit_label = u
colnames.append(header[i])
return colnames, unit_labels, types, method
def extract_df_info(csv_file):
header = []
units = []
method = []
# get the header and datatypes
with open(csv_file, 'rb') as f:
lines = f.readlines()
header = lines[0].strip().decode().split(',')
unit_labels = lines[1].strip().decode("windows-1252").split(',')
method = lines[3].strip().decode().split(',')
data = lines[4].strip().decode().split(',')
types = [ut.get_type(v) for v in data]
# reformat the column names
colnames = []
for i in range(len(header)):
u = unit_labels[i] if unit_labels[i] != '' else 'na'
unit_labels[i] = u
colnames.append('%s (%s)' % (header[i], u))
return colnames, unit_labels, types, method