from Standard.Base import all from Standard.Table import Table, Column, Value_Type import Standard.Visualization.Scatter_Plot from Standard.Test import all import project add_specs suite_builder = expect_text text axis_expected_text data_expected_text row_method is_multi = json = Json.parse text json.field_names.should_equal ['data', 'axis', 'is_multi_series', 'get_row_method', 'x_value_type'] expect_text = '{"axis": ' + axis_expected_text + ', "data": ' + data_expected_text + ', "is_multi_series": ' + is_multi + ', "get_row_method": ' + row_method + ', "x_value_type": "Integer"' + '}' expected_result = Json.parse expect_text json.should_equal expected_result expect value axis_expected_text data_expected_text row_method (is_multi='false') = text = Scatter_Plot.process_to_json_text value expect_text text axis_expected_text data_expected_text row_method is_multi index = Scatter_Plot.index_name axis label = JS_Object.from_pairs [['label',label]] labels x y = JS_Object.from_pairs [['x', axis x], ['y', axis y]] . to_text labels_multi x y z = JS_Object.from_pairs [['x', axis x], ['y', axis y], ['(y_multi 0)', axis z]] . to_text no_labels = 'null' suite_builder.group "Scatter Plot Visualization" group_builder-> group_builder.specify "plots left most column for x if numeric" <| header = ['α', 'ω'] row_1 = [11 , 10 ] row_2 = [21 , 20 ] table = Table.from_rows header [row_1, row_2] expect table (labels 'α' 'ω') '[{"x":11,"y":10, "row_number": 0},{"x":21,"y":20, "row_number": 1}]' '"get_row"' group_builder.specify "recognizes all relevant columns" <| header = ['x' , 'y' , 'size' , 'shape' , 'label' , 'color' ] row_1 = [11 , 10 , 50 , 'square' , 'label' , 'ff0000'] table = Table.from_rows header [row_1] expect table (labels 'x' 'y') '[{"color":"ff0000","label":"label","shape":"square","size":50,"x":11,"y":10, "row_number": 0}]' '"get_row"' group_builder.specify "is case-insensitive" <| header = ['X' , 'Y' , 'Size' , 'Shape' , 'Label' , 'Color' ] row_1 = [11 , 10 , 50 , 'square' , 'label' , 'ff0000'] table = Table.from_rows header [row_1] expect table (labels 'X' 'Y') '[{"color":"ff0000","label":"label","shape":"square","size":50,"x":11,"y":10, "row_number": 0}]' '"get_row"' group_builder.specify "uses first unrecognized numeric column as `y` fallback" <| header = ['x' , 'size' , 'name' , 'z' , 'ω'] row_1 = [11 , 50 , 'circul' , 20 , 30] table = Table.from_rows header [row_1] expect table (labels_multi 'x' 'z' 'ω') '[{"size":50,"x":11,"y":20,"(y_multi 0)":30, "row_number": 0}]' '"get_row"' 'true' group_builder.specify "provided only recognized columns" <| header = ['x', 'y' , 'bar' , 'size'] row_1 = [11 , 10 , 'aa' , 40 ] row_2 = [21 , 20 , 'bb' , 50 ] table = Table.from_rows header [row_1, row_2] expect table (labels 'x' 'y') '[{"size":40,"x":11,"y":10, "row_number": 0},{"size":50,"x":21,"y":20, "row_number": 1}]' '"get_row"' group_builder.specify "provided only recognized columns within bounds" <| header = ['x', 'y' , 'bar' , 'size'] row_1 = [1 , 1 , '11' , 30 ] row_2 = [11 , 10 , 'aa' , 40 ] row_3 = [21 , 20 , 'bb' , 50 ] row_4 = [31 , 30 , 'cc' , 60 ] table = Table.from_rows header [row_1, row_2, row_3, row_4] bounds = [0,5,25,25] text = Scatter_Plot.process_to_json_text table bounds expect_text text (labels 'x' 'y') '[{"size":40,"x":11,"y":10, "row_number": 0},{"size":50,"x":21,"y":20, "row_number": 1}]' '"get_row"' group_builder.specify "used default index for `x` if none set" <| header = [ 'y' , 'bar' , 'size'] row_1 = [ 10 , 'aa' , 40 ] row_2 = [ 20 , 'bb' , 50 ] table = Table.from_rows header [row_1, row_2] expect table (labels index 'y') '[{"size":40,"x":0,"y":10, "row_number": 0},{"size":50,"x":1,"y":20, "row_number": 1}]' '"get_row"' group_builder.specify "using indices for x if given a vector" <| vector = [0,10,20] expect vector no_labels '[{"x":0,"y":0, "row_number": 0},{"x":1,"y":10, "row_number": 1},{"x":2,"y":20, "row_number": 2}]' '"at"' group_builder.specify "limit the number of elements" <| vector = [0,10,20,30] text = Scatter_Plot.process_to_json_text vector limit=2 json = Json.parse text json.field_names.should_equal ['data','axis', 'is_multi_series', 'get_row_method', 'x_value_type'] data = json.get 'data' data.should_be_a Vector data.length . should_equal 2 group_builder.specify "limit the number of squared elements" <| vector = (-15).up_to 15 . map (x -> x * x) text = Scatter_Plot.process_to_json_text vector limit=10 json = Json.parse text json.field_names.should_equal ['data','axis', 'is_multi_series', 'get_row_method', 'x_value_type'] data = json.get 'data' data.should_be_a Vector data.length . should_equal 10 (data.take (..First 3) . sort on=(_.get "x")).to_text . should_equal '[{"x":0,"y":225,"row_number":0}, {"x":15,"y":0,"row_number":15}, {"x":29,"y":196,"row_number":29}]' group_builder.specify "filter the elements" <| vector = [0,10,20,30] bounds = [0,5,10,25] text = Scatter_Plot.process_to_json_text vector bounds expect_text text no_labels '[{"x":1,"y":10, "row_number": 0},{"x":2,"y":20, "row_number": 1}]' '"at"' group_builder.specify "using indices for x if given a range" <| value = 2.up_to 5 expect value no_labels '[{"x":0,"y":2, "row_number": 0},{"x":1,"y":3, "row_number": 1},{"x":2,"y":4, "row_number": 2}]' '"at"' main filter=Nothing = suite = Test.build suite_builder-> add_specs suite_builder suite.run_with_filter filter