{
  "$schema": "https://vega.github.io/schema/vega/v5.json",
  "description": "Multi-series Line Chart with Halo. Use pivot and repeat-layer as a workaround to facet groups of lines and their halo strokes. See https://github.com/vega/vega-lite/issues/6192 for more discussion.",
  "background": "white",
  "padding": 5,
  "width": 200,
  "height": 200,
  "style": "cell",
  "data": [
    {
      "name": "source_0",
      "url": "data/stocks.csv",
      "format": {"type": "csv"},
      "transform": [
        {
          "type": "pivot",
          "field": "symbol",
          "value": "price",
          "groupby": ["date"]
        },
        {"type": "formula", "expr": "toDate(datum[\"date\"])", "as": "date"}
      ]
    }
  ],
  "marks": [
    {
      "name": "child__layer_AAPL_layer_0_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"value": "white"},
          "strokeWidth": {"value": 4},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"AAPL\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "AAPL"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"AAPL\"]) && isFinite(+datum[\"AAPL\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_AAPL_layer_1_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"scale": "stroke", "value": "AAPL"},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"AAPL\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "AAPL"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"AAPL\"]) && isFinite(+datum[\"AAPL\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_AMZN_layer_0_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"value": "white"},
          "strokeWidth": {"value": 4},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"AMZN\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "AMZN"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"AMZN\"]) && isFinite(+datum[\"AMZN\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_AMZN_layer_1_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"scale": "stroke", "value": "AMZN"},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"AMZN\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "AMZN"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"AMZN\"]) && isFinite(+datum[\"AMZN\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_GOOG_layer_0_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"value": "white"},
          "strokeWidth": {"value": 4},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"GOOG\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "GOOG"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"GOOG\"]) && isFinite(+datum[\"GOOG\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_GOOG_layer_1_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"scale": "stroke", "value": "GOOG"},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"GOOG\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "GOOG"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"GOOG\"]) && isFinite(+datum[\"GOOG\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_IBM_layer_0_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"value": "white"},
          "strokeWidth": {"value": 4},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"IBM\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "IBM"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"IBM\"]) && isFinite(+datum[\"IBM\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_IBM_layer_1_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"scale": "stroke", "value": "IBM"},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"IBM\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "IBM"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"IBM\"]) && isFinite(+datum[\"IBM\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_MSFT_layer_0_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"value": "white"},
          "strokeWidth": {"value": 4},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"MSFT\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "MSFT"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"MSFT\"]) && isFinite(+datum[\"MSFT\"])"
          }
        }
      }
    },
    {
      "name": "child__layer_MSFT_layer_1_marks",
      "type": "line",
      "style": ["line"],
      "sort": {"field": "datum[\"date\"]"},
      "from": {"data": "source_0"},
      "encode": {
        "update": {
          "stroke": {"scale": "stroke", "value": "MSFT"},
          "description": {
            "signal": "\"date: \" + (timeFormat(datum[\"date\"], '%b %d, %Y')) + \"; price: \" + (format(datum[\"MSFT\"], \"\"))"
          },
          "x": {"scale": "x", "field": "date"},
          "y": {"scale": "y", "field": "MSFT"},
          "defined": {
            "signal": "isValid(datum[\"date\"]) && isFinite(+datum[\"date\"]) && isValid(datum[\"MSFT\"]) && isFinite(+datum[\"MSFT\"])"
          }
        }
      }
    }
  ],
  "scales": [
    {
      "name": "x",
      "type": "time",
      "domain": {"data": "source_0", "field": "date"},
      "range": [0, {"signal": "width"}]
    },
    {
      "name": "y",
      "type": "linear",
      "domain": {
        "data": "source_0",
        "fields": ["AAPL", "AMZN", "GOOG", "IBM", "MSFT"]
      },
      "range": [{"signal": "height"}, 0],
      "nice": true,
      "zero": true
    },
    {
      "name": "stroke",
      "type": "ordinal",
      "domain": {"fields": [["AAPL"], ["AMZN"], ["GOOG"], ["IBM"], ["MSFT"]]},
      "range": "category"
    }
  ],
  "axes": [
    {
      "scale": "x",
      "orient": "bottom",
      "gridScale": "y",
      "grid": true,
      "tickCount": {"signal": "ceil(width/40)"},
      "domain": false,
      "labels": false,
      "aria": false,
      "maxExtent": 0,
      "minExtent": 0,
      "ticks": false,
      "zindex": 0
    },
    {
      "scale": "y",
      "orient": "left",
      "gridScale": "x",
      "grid": true,
      "tickCount": {"signal": "ceil(height/40)"},
      "domain": false,
      "labels": false,
      "aria": false,
      "maxExtent": 0,
      "minExtent": 0,
      "ticks": false,
      "zindex": 0
    },
    {
      "scale": "x",
      "orient": "bottom",
      "grid": false,
      "title": "date",
      "labelFlush": true,
      "labelOverlap": true,
      "tickCount": {"signal": "ceil(width/40)"},
      "zindex": 0
    },
    {
      "scale": "y",
      "orient": "left",
      "grid": false,
      "title": "price",
      "labelOverlap": true,
      "tickCount": {"signal": "ceil(height/40)"},
      "zindex": 0
    }
  ],
  "legends": [{"stroke": "stroke", "symbolType": "stroke"}]
}