def read(file_name='', column=[]):
"""Read a CSV file by given header.
:param file_name: the file name
:type file_name: str
:param column: the columns of CSV file
:type column: list
:raises: *IOError*, *csv.Error* or *ValueError* if CSV file is not readable
:returns: a content of CSV file
:rtype: dict
"""
result = {}
if not file_name:
return result
try:
# Read input file
with open(file_name, 'rb') as _csvfile:
dialect = csv.Sniffer().sniff(_csvfile.read(), delimiters=';,')
_csvfile.seek(0)
reader = csv.reader(_csvfile, dialect)
header = reader.next()
# Header
if len(column) == 0:
column = header
for h in column:
result[h] = []
# Content
for row in reader:
# Match content with origin header
[result[h].append(row[header.index(h)]) for h in column]
except (IOError, csv.Error, ValueError) as e:
logging.error('%s' % e)
return {}
return result
def read(file_name='', column=[]):
"""Read a CSV file by given header.
:param file_name: the file name
:type file_name: str
:param column: the columns of CSV file
:type column: list
:raises: *IOError*, *csv.Error* or *ValueError* if CSV file is not readable
:returns: a content of CSV file
:rtype: dict
"""
result = {}
if not file_name:
return result
try:
# Read input file
with open(file_name, 'rb') as _csvfile:
dialect = csv.Sniffer().sniff(_csvfile.read(), delimiters=';,')
_csvfile.seek(0)
reader = csv.reader(_csvfile, dialect)
header = reader.next()
# Header
if len(column) == 0:
column = header
for h in column:
result[h] = []
# Content
for row in reader:
# Match content with origin header
[result[h].append(row[header.index(h)]) for h in column]
except (IOError, csv.Error, ValueError) as e:
logging.error('%s' % e)
return {}
return result
def convert(dates):
"""Converts dates to relative days.
:param dates:
:type array: list
:raises: *csv.Error* or *ValueError* if CSV file is not readable
:returns: days relative to the first date
:rtype: array_like
"""
res = []
try:
# Work with numpy array
dates = np.array(dates)
if dates.size < 1:
return dates
# the first date for the reference
date1 = datetime.strptime(dates[0], "%Y-%m-%d")
for date in dates:
date2 = datetime.strptime(date, "%Y-%m-%d")
d = date2 - date1
res.append(d.days)
except (TypeError, ValueError) as error:
logging.error('Dates should have the following format: YYYY-MM-DD, %s'
% error)
return np.array(res)
