def test_to_jsonstat_and_back(sample_cube):
cube = sample_cube
# Make sure we end up with same cube after converting
# the generated jsonstat back to a cube
js = jsonstat.to_jsonstat_dataset(cube)
cube2 = jsonstat.to_cube(js)
assert cube._data == cube2._data
def test_to_jsonstat_and_back(sample_cube): cube = sample_cube # Make sure we end up with same cube after converting # the generated jsonstat back to a cube js = jsonstat.to_jsonstat_dataset(cube) cube2 = jsonstat.to_cube(js) assert cube._data == cube2._data
def test_filtered_to_jsonstat(sample_cube):
spec = sample_cube.specification
dimension = spec['dimensions'][0]
category = dimension['categories'][0]
filt = {dimension['id']: category['id']}
filtered = sample_cube.filter(**filt)
js = jsonstat.to_jsonstat(filtered)
assert jsonstat.to_cube(js['dataset']) == filtered
def test_filtered_to_jsonstat(sample_cube):
spec = sample_cube.specification
dimension = spec['dimensions'][0]
category = dimension['categories'][0]
filt = {dimension['id']: category['id']}
filtered = sample_cube.filter(**filt)
js = jsonstat.to_jsonstat(filtered)
assert jsonstat.to_cube(js['dataset']) == filtered
def test_to_cube(jsonstat_sample_dataset): cube = jsonstat.to_cube(jsonstat_sample_dataset)
def sample_cube(): dataset = jsonstat_sample_dataset() return jsonstat.to_cube(dataset)
def test_to_cube(jsonstat_sample_dataset):
cube = jsonstat.to_cube(jsonstat_sample_dataset)
def sample_cube():
dataset = jsonstat_sample_dataset()
return jsonstat.to_cube(dataset)
from pydatacube import jsonstat import json import urllib2 JSONSTAT_URL = "http://json-stat.org/samples/order.json" DATASET = 'order' data = json.load(urllib2.urlopen(JSONSTAT_URL)) dataset = data[DATASET] # Convert to a pydatacube cube cube = jsonstat.to_cube(dataset) # Convert back to jsonstat js = jsonstat.to_jsonstat(cube, dataset_name=DATASET) # Verify that there's nothing fishy js_again = jsonstat.to_jsonstat(jsonstat.to_cube(js[DATASET]), dataset_name=DATASET) assert json.dumps(js) == json.dumps(js_again) # And pretty print print json.dumps(js, indent=4)
from pydatacube import jsonstat
import json
import urllib2
JSONSTAT_URL = "http://json-stat.org/samples/order.json"
DATASET = 'order'
data = json.load(urllib2.urlopen(JSONSTAT_URL))
dataset = data[DATASET]
# Convert to a pydatacube cube
cube = jsonstat.to_cube(dataset)
# Convert back to jsonstat
js = jsonstat.to_jsonstat(cube, dataset_name=DATASET)
# Verify that there's nothing fishy
js_again = jsonstat.to_jsonstat(jsonstat.to_cube(js[DATASET]),
dataset_name=DATASET)
assert json.dumps(js) == json.dumps(js_again)
# And pretty print
print json.dumps(js, indent=4)
import json
import urllib2
from pydatacube import jsonstat
# Load jsonstat example data and pick a dataset
# in it
JSONSTAT_URL = "http://json-stat.org/samples/order.json"
DATASET = 'order'
data = json.load(urllib2.urlopen(JSONSTAT_URL))
dataset = data[DATASET]
# Convert to a pydatacube cube
cube = jsonstat.to_cube(dataset)
# Do some filtering
subcube = cube.filter(A=("1", "2"), C="4")
# And pretty printing
print cube.metadata['label']
for row in subcube:
print("\t".join(map(str, row)))
import json
import urllib2
from pydatacube import jsonstat
# Load jsonstat example data and pick a dataset
# in it
JSONSTAT_URL = "http://json-stat.org/samples/order.json"
DATASET = 'order'
data = json.load(urllib2.urlopen(JSONSTAT_URL))
dataset = data[DATASET]
# Convert to a pydatacube cube
cube = jsonstat.to_cube(dataset)
# Do some filtering
subcube = cube.filter(A=("1", "2"), C="4")
# And pretty printing
print cube.metadata['label']
for row in subcube:
print("\t".join(map(str, row)))