def test_data_graph_render():
records = [{u'buildingID': 0, u'date': u'6/1/13', u'temp_diff': 12},
{u'buildingID': 1, u'date': u'6/1/13', u'temp_diff': 0},
{u'buildingID': 2, u'date': u'6/1/14', u'temp_diff': 11},
{u'buildingID': 0, u'date': u'6/1/15', u'temp_diff': 5},
{u'buildingID': 1, u'date': u'6/1/16', u'temp_diff': 19},
{u'buildingID': 2, u'date': u'6/1/17', u'temp_diff': 32}]
df = pd.DataFrame(records)
encoding = Encoding(chart_type=Encoding.chart_type_line, x="date", y="temp_diff", y_aggregation=Encoding.y_agg_sum)
display = MagicMock()
data = DataGraph(display)
data.render(df, encoding, MagicMock())
assert display.html.call_count == 2
def test_data_graph_display_methods():
assert not DataGraph.display_x()
assert not DataGraph.display_y()
assert not DataGraph.display_logarithmic_x_axis()
assert not DataGraph.display_logarithmic_y_axis()
