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)))