def update(dbname, configfile, bbox=None):
"""Fetch datasets and update database."""
conf = datasets.readDatasetList(configfile)
try:
bbox = map(lambda s: conf.getfloat('domain', s), [
'minlon', 'minlat', 'maxlon', 'maxlat'])
except:
bbox = None
for name in conf.sections():
if name != 'domain':
try:
mod = __import__("datasets.{0}".format(name), fromlist=[name])
except:
mod = None
if mod is None:
# download generic datasets
datasets.download(name, dbname, bbox)
else:
dt = mod.dates(dbname)
mod.download(dbname, dt, bbox)
def update(dbname, configfile, bbox=None):
"""Fetch datasets and update database."""
conf = datasets.readDatasetList(configfile)
try:
bbox = map(lambda s: conf.getfloat('domain', s), [
'minlon', 'minlat', 'maxlon', 'maxlat'])
except:
bbox = None
for name in conf.sections():
if name != 'domain':
try:
mod = __import__("datasets.{0}".format(name), fromlist=[name])
except:
mod = None
if mod is None:
# download generic datasets
datasets.download(name, dbname, bbox)
else:
if conf.has_option(name, 'startdate'):
t0 = datetime.strptime(conf.get(name, 'startdate'), "%Y-%m-%d")
else:
t0 = None
if conf.has_option(name, 'enddate'):
t1 = datetime.strptime(conf.get(name, 'enddate'), "%Y-%m-%d")
else:
t1 = None
dt = mod.dates(dbname)
if t0 is None:
if dt is None:
print("WARNING! Date information for {0} not found in the database or data.conf. Please add a startdate in the data.conf file.")
else:
if t1 is not None:
dt = (dt[0], t1)
else:
if t1 is None:
dt = (t0, dt[1])
else:
dt = (t0, t1)
if dt is not None:
mod.download(dbname, dt, bbox)
def update(dbname, configfile):
"""Fetch datasets and update database."""
log = logging.getLogger(__name__)
conf = datasets.readDatasetList(configfile)
try:
bbox = map(lambda s: conf.getfloat('domain', s),
['minlon', 'minlat', 'maxlon', 'maxlat'])
except:
bbox = None
for name in conf.sections():
if name != 'domain':
try:
mod = __import__("datasets.{0}".format(name), fromlist=[name])
except:
mod = None
if conf.has_option(name, 'startdate'):
t0 = datetime.strptime(conf.get(name, 'startdate'), "%Y-%m-%d")
else:
t0 = None
if conf.has_option(name, 'enddate'):
t1 = datetime.strptime(conf.get(name, 'enddate'), "%Y-%m-%d")
else:
t1 = datetime.today()
if mod is None:
# download generic datasets
datasets.download(dbname, (t0, t1), bbox, conf, name)
else:
dt = mod.dates(dbname)
if t0 is None:
if dt is None:
log.warning(
"Date information for {0} not found in the database or data.conf. Please add a startdate in the data.conf file."
.format(name))
else:
dt = (dt[0], t1)
else:
dt = (t0, t1)
if dt is not None:
mod.download(dbname, dt, bbox)
"class-values"
],
"pima": [
"times-pregnant", "glucose-concentration", "diastolic-blood-pressure",
"triceps-skin-thickness", "two-hour-insulin", "bmi",
"diabetes-pedigree-function", "age", "class-variable"
],
"mpg": [
"mpg", "cylinders", "displacement", "horsepower", "weight",
"acceleration", "model-year", "origin", "car-name"
]
}
# Loading Data into program
download()
datas = load(cols)
iris = load_iris()
# testing iris
irisDF = pd.DataFrame(data=np.c_[iris['data'], iris['target']],
columns=iris['feature_names'] + ['target'])
print("Iris Dataset")
calculate_accuracy(irisDF, "target")
# cars
