erddap_stick_3d.ipynb

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  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Install Dependencies"
      ],
      "metadata": {
        "id": "xUQO1Hx8G-3z"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4CBa-SScGs0t",
        "outputId": "aaa74d90-f82b-48b8-a055-e1871a258a76"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting netCDF4\n",
            "  Downloading netCDF4-1.6.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (5.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.5/5.5 MB\u001b[0m \u001b[31m17.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: plotly in /usr/local/lib/python3.10/dist-packages (5.15.0)\n",
            "Collecting cftime (from netCDF4)\n",
            "  Downloading cftime-1.6.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m19.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from netCDF4) (2024.2.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from netCDF4) (1.25.2)\n",
            "Requirement already satisfied: tenacity>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from plotly) (8.3.0)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from plotly) (24.0)\n",
            "Installing collected packages: cftime, netCDF4\n",
            "Successfully installed cftime-1.6.3 netCDF4-1.6.5\n"
          ]
        }
      ],
      "source": [
        "!pip install netCDF4 plotly"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "qdeaqAIyIZ7R"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Fetch data & plot 3d stick"
      ],
      "metadata": {
        "id": "H0IBDSuzIYKn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objects as go\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "from netCDF4 import Dataset, num2date\n",
        "import requests\n",
        "import tempfile\n",
        "from matplotlib.colors import Normalize\n",
        "from matplotlib import colormaps\n",
        "\n",
        "def fetch_data(server_url, dataset_id, target_date, instrument=0):\n",
        "    url = f'{server_url}/tabledap/{dataset_id}.nc?time,depth,platform,sea_water_speed_{instrument},sea_water_direction_{instrument}&time>={target_date}'\n",
        "    response = requests.get(url)\n",
        "\n",
        "    if response.status_code != 200:\n",
        "        print(f\"Failed to fetch data. HTTP status code: {response.status_code}\")\n",
        "        return None\n",
        "\n",
        "    with tempfile.NamedTemporaryFile(delete=False) as tmp_file:\n",
        "        tmp_file.write(response.content)\n",
        "        tmp_file.seek(0)\n",
        "\n",
        "        try:\n",
        "            nc = Dataset(tmp_file.name)\n",
        "        except OSError as e:\n",
        "            print(f\"Failed to open NetCDF file: {e}\")\n",
        "            return None\n",
        "\n",
        "        time = nc.variables['time'][:]\n",
        "        time_units = nc.variables['time'].units\n",
        "        time_dates = num2date(time, units=time_units)\n",
        "        depth = nc.variables['depth'][:]\n",
        "        depth_units = nc.variables['depth'].units\n",
        "        sea_water_speed = nc.variables[f'sea_water_speed_{instrument}'][:]\n",
        "        speed_units = nc.variables[f'sea_water_speed_{instrument}'].units\n",
        "        sea_water_direction = nc.variables[f'sea_water_direction_{instrument}'][:]\n",
        "\n",
        "\n",
        "        df = pd.DataFrame({\n",
        "            'time': time_dates,\n",
        "            'depth': depth,\n",
        "            f'sea_water_speed_{instrument}': sea_water_speed,\n",
        "            f'sea_water_direction_{instrument}': sea_water_direction\n",
        "        })\n",
        "\n",
        "        return df, depth_units, speed_units\n",
        "\n",
        "def plot_3d_stick(df, date, instrument, depth_units, speed_units):\n",
        "    df = df[df['time'] == pd.to_datetime(date)]\n",
        "    if df.empty:\n",
        "        print(f\"No data available for the specified date: {date}\")\n",
        "        return\n",
        "\n",
        "    speeds = df[f'sea_water_speed_{instrument}']\n",
        "    directions = df[f'sea_water_direction_{instrument}']\n",
        "\n",
        "    # Convert directions to radians\n",
        "    directions_rad = np.radians(directions)\n",
        "\n",
        "    # Calculate u (eastward) and v (northward) components\n",
        "    u = speeds * np.sin(directions_rad)\n",
        "    v = speeds * np.cos(directions_rad)\n",
        "\n",
        "    # Calculate midpoints for u and v\n",
        "    u_mid = (u.max() + u.min()) / 2\n",
        "    v_mid = (v.max() + v.min()) / 2\n",
        "\n",
        "    # Normalize speeds for color mapping\n",
        "    norm = Normalize(vmin=speeds.min(), vmax=speeds.max())\n",
        "    cmap = colormaps.get_cmap('viridis')\n",
        "    colors = [cmap(norm(speed)) for speed in speeds]\n",
        "\n",
        "    fig = go.Figure()\n",
        "\n",
        "    for i in range(len(df)):\n",
        "        fig.add_trace(go.Scatter3d(\n",
        "            x=[u_mid, u.iloc[i]],\n",
        "            y=[v_mid, v.iloc[i]],\n",
        "            z=[df['depth'].iloc[i], df['depth'].iloc[i]],  # Depth is fixed\n",
        "            mode='lines',\n",
        "            line=dict(color=f'rgba({colors[i][0]*255}, {colors[i][1]*255}, {colors[i][2]*255}, {colors[i][3]})', width=6),\n",
        "            showlegend=False,  # Disable individual legend entries\n",
        "            hovertemplate=(\n",
        "                f\"Date: {df['time'].iloc[i]}<br>\"\n",
        "                f\"Depth: {df['depth'].iloc[i]} {depth_units}<br>\"\n",
        "                f\"Speed: {speeds.iloc[i]} {speed_units}<br>\"\n",
        "            )\n",
        "        ))\n",
        "\n",
        "    fig.update_layout(\n",
        "        title=f'Sea Water Speed 3D Stick Plot for {dataset_id}',\n",
        "        scene=dict(\n",
        "            xaxis_title='u (Easting)',\n",
        "            yaxis_title='v (Northing)',\n",
        "            zaxis_title='Depth',\n",
        "            xaxis=dict(showgrid=False, range=[-max(speeds), max(speeds)]),\n",
        "            yaxis=dict(showgrid=False, range=[-max(speeds), max(speeds)]),\n",
        "            zaxis=dict(showgrid=False, range=[df['depth'].max(), df['depth'].min()])\n",
        "        ),\n",
        "        autosize=False,\n",
        "        width=800,\n",
        "        height=600\n",
        "    )\n",
        "\n",
        "    fig.show()\n"
      ],
      "metadata": {
        "id": "OMYGQezLHBjU"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Usage example with configurable parameters"
      ],
      "metadata": {
        "id": "iNFlC5QuJY10"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "server_url = \"https://erddap.gcoos.org/erddap\"\n",
        "dataset_id = \"wmo_42881_2024\"\n",
        "target_date = \"2024-04-08T06:23:00Z\"\n",
        "instrument = 1\n",
        "\n",
        "data, depth_units, speed_units = fetch_data(server_url, dataset_id, target_date, instrument)\n",
        "if data is not None:\n",
        "    plot_3d_stick(data, target_date, instrument, depth_units, speed_units)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "id": "AiQtLjU7JOoY",
        "outputId": "e7bdb0a3-4e4d-4125-d355-655709307f80"
      },
      "execution_count": 10,
      "outputs": [
        {
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