# Grab the file and get its attributes:
shapefile = 'sample:CONUS_states'
attributes = pyGDP.getAttributes(shapefile)
for attr in attributes:
print attr
# Grab the values from the 'STATE' attribute:
usr_attribute = 'STATE'
values = pyGDP.getValues(shapefile, usr_attribute)
for v in values:
print v
# Instead of specifically specifying a value, we get request to get
# the gmlID of these values and append them to a gmlID to be used
# as an input instead of value.
michGMLID = pyGDP.getGMLIDs(shapefile, usr_attribute, 'Michigan')
gmlIDs = michGMLID
# We get the dataset URI that we are interested in by searching for prism:
dataSetURIs = pyGDP.getDataSetURI(anyText='prism')
pp = pprint.PrettyPrinter(indent=5,width=60)
pp.pprint(dataSetURIs)
# Set our datasetURI
dataSetURI = 'dods://cida.usgs.gov/thredds/dodsC/prism'
# Get the available data types associated with the dataset
datatypes = pyGDP.getDataType(dataSetURI)
for dt in datatypes:
print dt
# Set the dataType. Note that leaving dataType out below will select all.
# Grab the file and get its attributes:
shapefile = 'sample:CONUS_states'
attributes = pyGDP.getAttributes(shapefile)
for attr in attributes:
print(attr)
# Grab the values from the 'STATE' attribute:
usr_attribute = 'STATE'
values = pyGDP.getValues(shapefile, usr_attribute)
for v in values:
print(v)
# Instead of specifically specifying a value, we get request to get
# the gmlID of these values and append them to a gmlID to be used
# as an input instead of value.
michGMLID = pyGDP.getGMLIDs(shapefile, usr_attribute, 'Michigan')
gmlIDs = michGMLID
# We get the dataset URI that we are interested in by searching for prism:
dataSetURIs = pyGDP.getDataSetURI(anyText='prism')
pp = pprint.PrettyPrinter(indent=5, width=60)
pp.pprint(dataSetURIs)
# Set our datasetURI
dataSetURI = 'dods://cida.usgs.gov/thredds/dodsC/prism'
# Get the available data types associated with the dataset
datatypes = pyGDP.getDataType(dataSetURI)
for dt in datatypes:
print(dt)
# Set the dataType. Note that leaving dataType out below will select all.
print attr
print
# Grab the values from 'OBJECTID' and 'upload:OKCNTYD'
usr_attribute = 'STATE'
values = pyGDP.getValues(shapefile, usr_attribute)
for v in values:
print v
print
"""
Instead of specifically specifying a value, we get request to get
the gmlID of these values and append them to a gmlID to be used
as an input instead of value.
"""
wisGMLID = pyGDP.getGMLIDs(shapefile, usr_attribute, 'Wisconsin')
michGMLID = pyGDP.getGMLIDs(shapefile, usr_attribute, 'Michigan')
minnGDMLID = pyGDP.getGMLIDs(shapefile, usr_attribute, 'Minnesota')
gmlIDs = wisGMLID + michGMLID + minnGDMLID
# our shapefile = 'upload:OKCNTYD', usr_attribute = 'OBJECTID', and usr_value = 13
# We get the dataset URI that we are interested in
dataSetURIs = pyGDP.getDataSetURI()
for d in dataSetURIs:
print d
# Set our datasetURI
dataSetURI = 'dods://cida.usgs.gov/thredds/dodsC/gmo/GMO_w_meta.ncml'
# Get the available data types associated with the dataset
dataType = 'Prcp'
# Get available time range on the dataset
print attr
print
# Grab the values from 'OBJECTID' and 'upload:OKCNTYD'
usr_attribute = 'STATE'
values = pyGDP.getValues(shapefile, usr_attribute)
for v in values:
print v
print
"""
Instead of specifically specifying a value, we get request to get
the gmlID of these values and append them to a gmlID to be used
as an input instead of value.
"""
wisGMLID = pyGDP.getGMLIDs(shapefile, usr_attribute, 'Wisconsin')
michGMLID = pyGDP.getGMLIDs(shapefile, usr_attribute, 'Michigan')
minnGDMLID = pyGDP.getGMLIDs(shapefile, usr_attribute, 'Minnesota')
gmlIDs = wisGMLID + michGMLID + minnGDMLID
# our shapefile = 'upload:OKCNTYD', usr_attribute = 'OBJECTID', and usr_value = 13
# We get the dataset URI that we are interested in
dataSetURIs = pyGDP.getDataSetURI()
for d in dataSetURIs:
print d
# Set our datasetURI
dataSetURI = 'dods://igsarm-cida-thredds1.er.usgs.gov:8080/thredds/dodsC/gmo/GMO_w_meta.ncml'
# Get the available data types associated with the dataset
dataType = 'Prcp'
# Get available time range on the dataset