dvc render: Add plotly parallel coords renderer

New renderer based on plotly. Not exposed to `dvc plots`.
Generate plotly datapoints from `TabularData`.

pre-requisite #4455

dvc/render/plotly.py

@@ -0,0 +1,78 @@
+import json
+from collections import defaultdict
+from typing import TYPE_CHECKING, Any, Dict, Optional
+
+from dvc.render.base import Renderer
+
+if TYPE_CHECKING:
+    from dvc.compare import TabularData
+
+
+class ParallelCoordinatesRenderer(Renderer):
+    DIV = """
+    <div id = "{id}">
+        <script type = "text/javascript">
+            var plotly_data = {partial};
+            Plotly.newPlot("{id}", plotly_data.data, plotly_data.layout);
+        </script>
+    </div>
+    """
+
+    SCRIPTS = """
+    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
+    """
+
+    # pylint: disable=W0231
+    def __init__(
+        self, tabular_data: "TabularData", color_by: Optional[str] = None
+    ):
+        self.tabular_data = tabular_data
+        self.color_by = color_by
+        self.filename = "experiments"
+
+    def _convert(self, path):
+        return self.as_json()
+
+    def as_json(self) -> str:
+        tabular_dict = defaultdict(list)
+        for row in self.tabular_data.as_dict():
+            for col_name, value in row.items():
+                tabular_dict[col_name].append(str(value))
+
+        trace: Dict[str, Any] = {"type": "parcoords", "dimensions": []}
+        for label, values in tabular_dict.items():
+            is_categorical = False
+
+            try:
+                float_values = [float(x) for x in values]
+            except ValueError:
+                is_categorical = True
+                dummy_values = list(range(len(values)))
+
+            if is_categorical:
+                trace["dimensions"].append(
+                    {
+                        "label": label,
+                        "values": dummy_values,
+                        "tickvals": dummy_values,
+                        "ticktext": values,
+                    }
+                )
+            else:
+                trace["dimensions"].append(
+                    {"label": label, "values": float_values}
+                )
+
+            if label == self.color_by:
+                trace["line"] = {
+                    "color": dummy_values if is_categorical else float_values,
+                    "showscale": True,
+                }
+                if is_categorical:
+                    trace["line"]["colorbar"] = {
+                        "tickmode": "array",
+                        "tickvals": dummy_values,
+                        "ticktext": values,
+                    }
+
+        return json.dumps({"data": [trace], "layout": {}})

tests/unit/render/test_parallel_coordinates.py

@@ -0,0 +1,123 @@
+import json
+
+from dvc.compare import TabularData
+from dvc.render.html import write
+from dvc.render.plotly import ParallelCoordinatesRenderer
+
+# pylint: disable=W1514
+
+
+def expected_format(result):
+    assert "data" in result
+    assert "layout" in result
+    assert isinstance(result["data"], list)
+    assert result["data"][0]["type"] == "parcoords"
+    assert isinstance(result["data"][0]["dimensions"], list)
+    return True
+
+
+def test_scalar_columns():
+    td = TabularData(["col-1", "col-2"])
+    td.extend([["0.1", "1"], ["2", "0.2"]])
+    renderer = ParallelCoordinatesRenderer(td)
+
+    result = json.loads(renderer.as_json())
+
+    assert expected_format(result)
+
+    assert result["data"][0]["dimensions"][0] == {
+        "label": "col-1",
+        "values": [0.1, 2.0],
+    }
+    assert result["data"][0]["dimensions"][1] == {
+        "label": "col-2",
+        "values": [1.0, 0.2],
+    }
+
+
+def test_categorical_columns():
+    td = TabularData(["col-1"])
+    td.extend([["foo"], ["bar"]])
+    renderer = ParallelCoordinatesRenderer(td)
+
+    result = json.loads(renderer.as_json())
+
+    assert expected_format(result)
+
+    assert result["data"][0]["dimensions"][0] == {
+        "label": "col-1",
+        "values": [0, 1],
+        "tickvals": [0, 1],
+        "ticktext": ["foo", "bar"],
+    }
+
+
+def test_mixed_columns():
+    td = TabularData(["categorical", "scalar"])
+    td.extend([["foo", "0.1"], ["bar", "2"]])
+    renderer = ParallelCoordinatesRenderer(td)
+
+    result = json.loads(renderer.as_json())
+
+    assert expected_format(result)
+
+    assert result["data"][0]["dimensions"][0] == {
+        "label": "categorical",
+        "values": [0, 1],
+        "tickvals": [0, 1],
+        "ticktext": ["foo", "bar"],
+    }
+    assert result["data"][0]["dimensions"][1] == {
+        "label": "scalar",
+        "values": [0.1, 2.0],
+    }
+
+
+def test_color_by_scalar():
+    td = TabularData(["categorical", "scalar"])
+    td.extend([["foo", "0.1"], ["bar", "2"]])
+    renderer = ParallelCoordinatesRenderer(td, color_by="scalar")
+
+    result = json.loads(renderer.as_json())
+
+    assert expected_format(result)
+    assert result["data"][0]["line"] == {
+        "color": [0.1, 2.0],
+        "showscale": True,
+    }
+
+
+def test_color_by_categorical():
+    td = TabularData(["categorical", "scalar"])
+    td.extend([["foo", "0.1"], ["bar", "2"]])
+    renderer = ParallelCoordinatesRenderer(td, color_by="categorical")
+
+    result = json.loads(renderer.as_json())
+
+    assert expected_format(result)
+    assert result["data"][0]["line"] == {
+        "color": [0, 1],
+        "showscale": True,
+        "colorbar": {
+            "tickmode": "array",
+            "tickvals": [0, 1],
+            "ticktext": ["foo", "bar"],
+        },
+    }
+
+
+def test_write_parallel_coordinates(tmp_dir):
+    td = TabularData(["categorical", "scalar"])
+    td.extend([["foo", "0.1"], ["bar", "2"]])
+
+    renderer = ParallelCoordinatesRenderer(td)
+    html_path = write(tmp_dir, renderers=[renderer])
+
+    html_text = html_path.read_text()
+
+    assert ParallelCoordinatesRenderer.SCRIPTS in html_text
+
+    div = ParallelCoordinatesRenderer.DIV.format(
+        id="plot_experiments", partial=renderer.as_json()
+    )
+    assert div in html_text