Estimated pCO2

Last updated: 2025-12-20 05:10:33 PDT

SERIES_COLORS = ({
  "pCO2 SBE37": "gray",
  "xCO2 MAP": "red",
  "equilPumpOffxCO2": "blue",
  "airPumpOffxCO2": "green"
})

// Helper function to filter and prepare data
function prepareTimeSeriesData(dataFrame, daysBack) {
  // Process data with dates
  const data_with_dates = transpose(dataFrame).map(d => ({
    ...d,
    date: new Date(d.time)
  }));

  // Filter data based on days back
  const cutoffDate = new Date(Date.now() - (daysBack * 24 * 60 * 60 * 1000));
  const filtered_data = data_with_dates.filter(d => d.date >= cutoffDate);

  // Subsample for performance
  const step = Math.max(1, Math.floor(filtered_data.length / 500));
  const subsampled_data = filtered_data
    .filter((d, i) => i % step === 0)
    .filter(d => !isNaN(d.pCO2_SBE37) && !isNaN(d.pCO2_SBE37_error));

  return { filtered_data, subsampled_data };
}

// Helper function to create plot configuration
function createPlotConfig(subsampled_data, filtered_data, selectedSeries) {
  // Build combined data only for selected series
  const combined_data = [];

  if (selectedSeries.includes("pCO2 SBE37")) {
    combined_data.push(...subsampled_data.map(d => ({...d, series: "pCO2 SBE37", value: d.pCO2_SBE37})));
  }
  if (selectedSeries.includes("xCO2 MAP")) {
    combined_data.push(...filtered_data.map(d => ({...d, series: "xCO2 MAP", value: d.xCO2})));
  }
  if (selectedSeries.includes("equilPumpOffxCO2")) {
    combined_data.push(...filtered_data.map(d => ({...d, series: "equilPumpOffxCO2", value: d.equilPumpOffxCO2})));
  }
  if (selectedSeries.includes("airPumpOffxCO2")) {
    combined_data.push(...filtered_data.map(d => ({...d, series: "airPumpOffxCO2", value: d.airPumpOffxCO2})));
  }

  // Build marks array
  const marks = [];

  // Add error bars only if pCO2 SBE37 is selected
  if (selectedSeries.includes("pCO2 SBE37")) {
    marks.push(Plot.link(subsampled_data, {
      x1: "date",
      x2: "date",
      y1: d => d.pCO2_SBE37 - d.pCO2_SBE37_error,
      y2: d => d.pCO2_SBE37 + d.pCO2_SBE37_error,
      stroke: SERIES_COLORS["pCO2 SBE37"],
      strokeOpacity: 0.7,
      strokeWidth: 0.5
    }));
  }

  // Add data points
  marks.push(Plot.dot(combined_data, {
    x: "date",
    y: "value",
    fill: "series",
    r: 2,
    tip: {
      format: {
        x: d => {
          const date = d.toLocaleDateString("en-CA", {timeZone: "America/Los_Angeles"});
          const time = d.toLocaleTimeString("en-US", {
            timeZone: "America/Los_Angeles",
            hour: '2-digit',
            minute: '2-digit',
            hour12: false
          });
          return `${date} ${time}`;
        }
      }
    }
  }));

  return {
    width: 1200,
    height: 600,
    marginLeft: 80,
    marginRight: 80,
    marginTop: 40,
    marginBottom: 60,
    style: {
      fontFamily: "DM Mono, monospace"
    },
    x: {
      type: "time",
    },
    y: {
      domain: [0, 1000],
      label: "xCO₂ (ppm)",
      labelFontSize: 16
    },
    color: {
      domain: Object.keys(SERIES_COLORS),
      range: Object.values(SERIES_COLORS),
      legend: false
    },
    grid: true,
    marks: marks
  };
}

viewof daysBack = Inputs.range([1, numDays], {
  value: 14,
  step: 1,
  label: "Days to look back:"
})

viewof selectedSeries = Inputs.checkbox(
  Object.keys(SERIES_COLORS),
  {
    value: Object.keys(SERIES_COLORS),
    label: "Select series to display:",
    format: (name) => html`<span style="color: ${SERIES_COLORS[name]}; font-weight: bold;">●</span> ${name}`
  }
)

{
  const { filtered_data, subsampled_data } = prepareTimeSeriesData(dataFrame, daysBack);
  return Plot.plot(createPlotConfig(subsampled_data, filtered_data, selectedSeries));
}