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())
