from Standard.Base import all import Standard.Table.Data.Column import Standard.Table.Data.Table import Standard.Visualization.Scatter_Plot import Standard.Test import project spec = expect value axis_expected_text data_expected_text = text = Scatter_Plot.process_to_json_text value json = Json.parse text json.fields.keys.should_equal ['axis','data'] expected_axis_labels = ['axis', Json.parse axis_expected_text] expected_data_pair = ['data', Json.parse data_expected_text] expected_result = Json.from_pairs [expected_axis_labels, expected_data_pair] json.should_equal expected_result index = Scatter_Plot.index_name axis label = Json.from_pairs [['label',label]] labels x y = Json.from_pairs [['x', axis x], ['y', axis y]] . to_text no_labels = 'null' Test.group "Scatter Plot Visualization" <| Test.specify "deals with an empty table" <| table = Table.from_rows [] [] expect table 'null' '[]' Test.specify "plots first column if none recognized" <| header = ['α', 'ω'] row_1 = [11 , 10 ] row_2 = [21 , 20 ] table = Table.from_rows header [row_1, row_2] expect table (labels index 'α') '[{"x":0,"y":11},{"x":1,"y":21}]' Test.specify "plots 'y' against indices when no 'x' recognized" <| header = ['α', 'y'] row_1 = [11 , 10 ] row_2 = [21 , 20 ] table = Table.from_rows header [row_1, row_2] expect table (labels index 'y') '[{"x":0,"y":10},{"x":1,"y":20}]' Test.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}]' Test.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}]' Test.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 'x' 'z') '[{"size":50,"x":11,"y":20}]' Test.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},{"size":50,"x":21,"y":20}]' Test.specify "used specified numeric index for x if missing 'x' column from table" <| header = [ 'y' , 'foo', 'bar', 'baz' , 'size'] row_1 = [ 10 , 'aa' , 12 , 14 , 40 ] row_2 = [ 20 , 'bb' , 13 , 15 , 50 ] table = Table.from_rows header [row_1, row_2] . set_index 'baz' # [TODO] mwu: When it is possible to set multiple index columns, test such case. expect table (labels 'baz' 'y') '[{"size":40,"x":14,"y":10},{"size":50,"x":15,"y":20}]' Test.specify "prefers explicit 'x' to index and looks into indices for recognized fields" <| header = [ 'x' , 'size'] row_1 = [ 10 , 21 ] row_2 = [ 20 , 22 ] table = Table.from_rows header [row_1, row_2] . set_index 'size' expect table (labels 'x' 'size') '[{"size":21,"x":10,"y":21},{"size":22,"x":20,"y":22}]' Test.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},{"size":50,"x":1,"y":20}]' Test.specify "using indices for x if given a vector" <| vector = [0,10,20] expect vector no_labels '[{"x":0,"y":0},{"x":1,"y":10},{"x":2,"y":20}]' Test.specify "using indices for x if given a column" <| column = Column.from_vector 'some_col' [10,2,3] expect column (labels 'index' 'some_col') '[{"x":0,"y":10},{"x":1,"y":2},{"x":2,"y":3}]' Test.specify "using indices for x if given a range" <| value = 2.up_to 5 expect value no_labels '[{"x":0,"y":2},{"x":1,"y":3},{"x":2,"y":4}]'