def test_create_example_1(): """Create a dashboard contain using chinese population data in the past 15 years""" home_resource = home.Home() dash_resource = dash.DashData() # get and store population data url = 'https://github.com/litaotao/IPython-Dashboard/raw/master/docs/people_number_by_province_lateset_10_years.csv' if os.path.isdir(TMP_DIR) and 'people_number_by_province_lateset_10_years.csv' in os.listdir(TMP_DIR): url = TMP_DIR + '/people_number_by_province_lateset_10_years.csv' value = pd.read_csv(url) sender(value, 'chinese_population', value.to_json()) # create sample dashboard dash_id, meta, content, = home_resource._create_dash("Dash: Chinese Population", "that man") data = TEST_DASH_DATA.get('example_chinese_population') dash_resource._update_dash(dash_id, data)
def test_create_dataframe(): url = 'https://github.com/litaotao/data-science/raw/master/examples/happy-healthy-hungry/data/SFBusinesses/businesses.csv' if os.path.isdir(TMP_DIR) and 'businesses.csv' in os.listdir(TMP_DIR): url = TMP_DIR + '/businesses.csv' data = pd.read_csv(url) piece_lenth = 1000 for piece in range(len(data) / piece_lenth): key = 'businesses-{}'.format(piece) value = data[piece * piece_lenth : piece * piece_lenth + piece_lenth] # r_kv.set(key, value.to_json()) sender(value, key, value.to_json()) url_2 = 'https://github.com/litaotao/data-science/raw/master/examples/happy-healthy-hungry/data/SFBusinesses/inspections.csv' if os.path.isdir(TMP_DIR) and 'inspections.csv' in os.listdir(TMP_DIR): url_2 = TMP_DIR + '/inspections.csv' data = pd.read_csv(url_2) piece_lenth = 1000 for piece in range(len(data) / piece_lenth): key = 'inspections-{}'.format(piece) value = data[piece * piece_lenth : piece * piece_lenth + piece_lenth] # r_kv.set(key, value.to_json()) sender(value, key, value.to_json()) # url_3 = 'https://github.com/litaotao/IPython-Dashboard/raw/v-0.1.2-visualiza-table/docs/people_number_by_province_lateset_10_years.csv' if os.path.isdir(TMP_DIR) and 'people_number_by_province_lateset_10_years.csv' in os.listdir(TMP_DIR): url_3 = TMP_DIR + '/people_number_by_province_lateset_10_years.csv' value = pd.read_csv(url_3) # r_kv.set('chinese_population', value.to_json()) sender(value, 'chinese_population', value.to_json())
def test_create_dataframe(): url = 'https://github.com/litaotao/data-science/raw/master/examples/happy-healthy-hungry/data/SFBusinesses/businesses.csv' if os.path.isdir(TMP_DIR) and 'businesses.csv' in os.listdir(TMP_DIR): url = TMP_DIR + '/businesses.csv' data = pd.read_csv(url) piece_lenth = 1000 for piece in range(len(data) / piece_lenth): key = 'businesses-{}'.format(piece) value = data[piece * piece_lenth:piece * piece_lenth + piece_lenth] # r_kv.set(key, value.to_json()) sender(value, key, value.to_json()) url_2 = 'https://github.com/litaotao/data-science/raw/master/examples/happy-healthy-hungry/data/SFBusinesses/inspections.csv' if os.path.isdir(TMP_DIR) and 'inspections.csv' in os.listdir(TMP_DIR): url_2 = TMP_DIR + '/inspections.csv' data = pd.read_csv(url_2) piece_lenth = 1000 for piece in range(len(data) / piece_lenth): key = 'inspections-{}'.format(piece) value = data[piece * piece_lenth:piece * piece_lenth + piece_lenth] # r_kv.set(key, value.to_json()) sender(value, key, value.to_json()) # url_3 = 'https://github.com/litaotao/IPython-Dashboard/raw/v-0.1.2-visualiza-table/docs/people_number_by_province_lateset_10_years.csv' if os.path.isdir( TMP_DIR ) and 'people_number_by_province_lateset_10_years.csv' in os.listdir( TMP_DIR): url_3 = TMP_DIR + '/people_number_by_province_lateset_10_years.csv' value = pd.read_csv(url_3) # r_kv.set('chinese_population', value.to_json()) sender(value, 'chinese_population', value.to_json())