Data_Visualisation_updatemenu_method_plotly_js_function.ipynb

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      "name": "Data Visualisation -  updatemenu method - plotly.js function.ipynb",
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        "<a href=\"https://colab.research.google.com/github/natnew/Python-Projects---Visualise-Data-With-Plotly/blob/main/Data_Visualisation_updatemenu_method_plotly_js_function.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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              "                            \n",
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              "            console.log([gd, 'removed!']);\n",
              "            Plotly.purge(gd);\n",
              "            observer.disconnect();\n",
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              "}});\n",
              "\n",
              "// Listen for the removal of the full notebook cells\n",
              "var notebookContainer = gd.closest('#notebook-container');\n",
              "if (notebookContainer) {{\n",
              "    x.observe(notebookContainer, {childList: true});\n",
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              "    x.observe(outputEl, {childList: true});\n",
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              "\n",
              "                        })                };                            </script>        </div>\n",
              "</body>\n",
              "</html>"
            ]
          },
          "metadata": {}
        }
      ],
      "source": [
        "import plotly.graph_objects as go\n",
        "\n",
        "import pandas as pd\n",
        "\n",
        "# load dataset\n",
        "df = pd.read_csv(\"https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv\")\n",
        "\n",
        "# create figure\n",
        "fig = go.Figure()\n",
        "\n",
        "# Add surface trace\n",
        "fig.add_trace(go.Surface(z=df.values.tolist(), colorscale=\"Viridis\"))\n",
        "\n",
        "# Update plot sizing\n",
        "fig.update_layout(\n",
        "    width=800,\n",
        "    height=900,\n",
        "    autosize=False,\n",
        "    margin=dict(t=0, b=0, l=0, r=0),\n",
        "    template=\"plotly_white\",\n",
        ")\n",
        "\n",
        "# Update 3D scene options\n",
        "fig.update_scenes(\n",
        "    aspectratio=dict(x=1, y=1, z=0.7),\n",
        "    aspectmode=\"manual\"\n",
        ")\n",
        "\n",
        "# Add dropdown\n",
        "fig.update_layout(\n",
        "    updatemenus=[\n",
        "        dict(\n",
        "            buttons=list([\n",
        "                dict(\n",
        "                    args=[\"type\", \"surface\"],\n",
        "                    label=\"3D Surface\",\n",
        "                    method=\"restyle\"\n",
        "                ),\n",
        "                dict(\n",
        "                    args=[\"type\", \"heatmap\"],\n",
        "                    label=\"Heatmap\",\n",
        "                    method=\"restyle\"\n",
        "                )\n",
        "            ]),\n",
        "            direction=\"down\",\n",
        "            pad={\"r\": 10, \"t\": 10},\n",
        "            showactive=True,\n",
        "            x=0.1,\n",
        "            xanchor=\"left\",\n",
        "            y=1.1,\n",
        "            yanchor=\"top\"\n",
        "        ),\n",
        "    ]\n",
        ")\n",
        "\n",
        "# Add annotation\n",
        "fig.update_layout(\n",
        "    annotations=[\n",
        "        dict(text=\"Trace type:\", showarrow=False,\n",
        "        x=0, y=1.085, yref=\"paper\", align=\"left\")\n",
        "    ]\n",
        ")\n",
        "\n",
        "fig.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Dataset : https://raw.githubusercontent.com/plotly/datasets/master/volcano.csv <br>\n",
        "Accessed : January 2022 <br>"
      ],
      "metadata": {
        "id": "QxzFVUnntDmW"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Thank you to Pltly. More can be found here: https://plotly.com/python/dropdowns/"
      ],
      "metadata": {
        "id": "gYUU96QHs4lZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objects as go\n",
        "\n",
        "# Generate dataset\n",
        "import numpy as np\n",
        "np.random.seed(1)\n",
        "\n",
        "x0 = np.random.normal(2, 0.4, 400)\n",
        "y0 = np.random.normal(2, 0.4, 400)\n",
        "x1 = np.random.normal(3, 0.6, 600)\n",
        "y1 = np.random.normal(6, 0.4, 400)\n",
        "x2 = np.random.normal(4, 0.2, 200)\n",
        "y2 = np.random.normal(4, 0.4, 200)\n",
        "\n",
        "# Create figure\n",
        "fig = go.Figure()\n",
        "\n",
        "# Add traces\n",
        "fig.add_trace(\n",
        "    go.Scatter(\n",
        "        x=x0,\n",
        "        y=y0,\n",
        "        mode=\"markers\",\n",
        "        marker=dict(color=\"DarkOrange\")\n",
        "    )\n",
        ")\n",
        "\n",
        "fig.add_trace(\n",
        "    go.Scatter(\n",
        "        x=x1,\n",
        "        y=y1,\n",
        "        mode=\"markers\",\n",
        "        marker=dict(color=\"Crimson\")\n",
        "    )\n",
        ")\n",
        "\n",
        "fig.add_trace(\n",
        "    go.Scatter(\n",
        "        x=x2,\n",
        "        y=y2,\n",
        "        mode=\"markers\",\n",
        "        marker=dict(color=\"RebeccaPurple\")\n",
        "    )\n",
        ")\n",
        "\n",
        "# Add buttons that add shapes\n",
        "cluster0 = [dict(type=\"circle\",\n",
        "                            xref=\"x\", yref=\"y\",\n",
        "                            x0=min(x0), y0=min(y0),\n",
        "                            x1=max(x0), y1=max(y0),\n",
        "                            line=dict(color=\"DarkOrange\"))]\n",
        "cluster1 = [dict(type=\"circle\",\n",
        "                            xref=\"x\", yref=\"y\",\n",
        "                            x0=min(x1), y0=min(y1),\n",
        "                            x1=max(x1), y1=max(y1),\n",
        "                            line=dict(color=\"Crimson\"))]\n",
        "cluster2 = [dict(type=\"circle\",\n",
        "                            xref=\"x\", yref=\"y\",\n",
        "                            x0=min(x2), y0=min(y2),\n",
        "                            x1=max(x2), y1=max(y2),\n",
        "                            line=dict(color=\"RebeccaPurple\"))]\n",
        "\n",
        "fig.update_layout(\n",
        "    updatemenus=[\n",
        "        dict(buttons=list([\n",
        "            dict(label=\"None\",\n",
        "                 method=\"relayout\",\n",
        "                 args=[\"shapes\", []]),\n",
        "            dict(label=\"Cluster 0\",\n",
        "                 method=\"relayout\",\n",
        "                 args=[\"shapes\", cluster0]),\n",
        "            dict(label=\"Cluster 1\",\n",
        "                 method=\"relayout\",\n",
        "                 args=[\"shapes\", cluster1]),\n",
        "            dict(label=\"Cluster 2\",\n",
        "                 method=\"relayout\",\n",
        "                 args=[\"shapes\", cluster2]),\n",
        "            dict(label=\"All\",\n",
        "                 method=\"relayout\",\n",
        "                 args=[\"shapes\", cluster0 + cluster1 + cluster2])\n",
        "        ]),\n",
        "        )\n",
        "    ]\n",
        ")\n",
        "\n",
        "# Update remaining layout properties\n",
        "fig.update_layout(\n",
        "    title_text=\"Highlight Clusters\",\n",
        "    showlegend=False,\n",
        ")\n",
        "\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "XJ28ie53tlrU",
        "outputId": "9fb896c9-6bed-450e-eabf-a874a97675f0"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          "metadata": {}
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    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objects as go\n",
        "\n",
        "import pandas as pd\n",
        "\n",
        "# Load dataset\n",
        "df = pd.read_csv(\n",
        "    \"https://raw.githubusercontent.com/plotly/datasets/master/finance-charts-apple.csv\")\n",
        "df.columns = [col.replace(\"AAPL.\", \"\") for col in df.columns]\n",
        "\n",
        "# Initialize figure\n",
        "fig = go.Figure()\n",
        "\n",
        "# Add Traces\n",
        "\n",
        "fig.add_trace(\n",
        "    go.Scatter(x=list(df.index),\n",
        "               y=list(df.High),\n",
        "               name=\"High\",\n",
        "               line=dict(color=\"#33CFA5\")))\n",
        "\n",
        "fig.add_trace(\n",
        "    go.Scatter(x=list(df.index),\n",
        "               y=[df.High.mean()] * len(df.index),\n",
        "               name=\"High Average\",\n",
        "               visible=False,\n",
        "               line=dict(color=\"#33CFA5\", dash=\"dash\")))\n",
        "\n",
        "fig.add_trace(\n",
        "    go.Scatter(x=list(df.index),\n",
        "               y=list(df.Low),\n",
        "               name=\"Low\",\n",
        "               line=dict(color=\"#F06A6A\")))\n",
        "\n",
        "fig.add_trace(\n",
        "    go.Scatter(x=list(df.index),\n",
        "               y=[df.Low.mean()] * len(df.index),\n",
        "               name=\"Low Average\",\n",
        "               visible=False,\n",
        "               line=dict(color=\"#F06A6A\", dash=\"dash\")))\n",
        "\n",
        "# Add Annotations and Buttons\n",
        "high_annotations = [dict(x=\"2016-03-01\",\n",
        "                         y=df.High.mean(),\n",
        "                         xref=\"x\", yref=\"y\",\n",
        "                         text=\"High Average:<br> %.3f\" % df.High.mean(),\n",
        "                         ax=0, ay=-40),\n",
        "                    dict(x=df.High.idxmax(),\n",
        "                         y=df.High.max(),\n",
        "                         xref=\"x\", yref=\"y\",\n",
        "                         text=\"High Max:<br> %.3f\" % df.High.max(),\n",
        "                         ax=0, ay=-40)]\n",
        "low_annotations = [dict(x=\"2015-05-01\",\n",
        "                        y=df.Low.mean(),\n",
        "                        xref=\"x\", yref=\"y\",\n",
        "                        text=\"Low Average:<br> %.3f\" % df.Low.mean(),\n",
        "                        ax=0, ay=40),\n",
        "                   dict(x=df.High.idxmin(),\n",
        "                        y=df.Low.min(),\n",
        "                        xref=\"x\", yref=\"y\",\n",
        "                        text=\"Low Min:<br> %.3f\" % df.Low.min(),\n",
        "                        ax=0, ay=40)]\n",
        "\n",
        "fig.update_layout(\n",
        "    updatemenus=[\n",
        "        dict(\n",
        "            active=0,\n",
        "            buttons=list([\n",
        "                dict(label=\"None\",\n",
        "                     method=\"update\",\n",
        "                     args=[{\"visible\": [True, False, True, False]},\n",
        "                           {\"title\": \"Yahoo\",\n",
        "                            \"annotations\": []}]),\n",
        "                dict(label=\"High\",\n",
        "                     method=\"update\",\n",
        "                     args=[{\"visible\": [True, True, False, False]},\n",
        "                           {\"title\": \"Yahoo High\",\n",
        "                            \"annotations\": high_annotations}]),\n",
        "                dict(label=\"Low\",\n",
        "                     method=\"update\",\n",
        "                     args=[{\"visible\": [False, False, True, True]},\n",
        "                           {\"title\": \"Yahoo Low\",\n",
        "                            \"annotations\": low_annotations}]),\n",
        "                dict(label=\"Both\",\n",
        "                     method=\"update\",\n",
        "                     args=[{\"visible\": [True, True, True, True]},\n",
        "                           {\"title\": \"Yahoo\",\n",
        "                            \"annotations\": high_annotations + low_annotations}]),\n",
        "            ]),\n",
        "        )\n",
        "    ])\n",
        "\n",
        "# Set title\n",
        "fig.update_layout(title_text=\"Yahoo\")\n",
        "\n",
        "fig.show()"
      ],
      "metadata": {
        "id": "QmwTq6UUtwQM",
        "outputId": "6940cebe-faf1-4720-b34c-a664bee52c0b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        }
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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