ipysheet

ipysheet.ipynb

{
  "cells": [
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "import leafmap\nimport ipysheet\nimport ipyleaflet\nimport numpy as np\nimport bqplot.pyplot as plt\nimport ipywidgets as widgets",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Create a sheet for hosting the map."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "host = ipysheet.sheet(rows=2, columns=2)\nhost",
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "Sheet(columns=2, layout=Layout(height='auto', width='auto'), rows=2)",
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a595c3959e1a414a8ac03b91b632bf29"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Create an interactive map."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "m = leafmap.Map(draw_control=False, measure_control=False)\nm.add_basemap('Esri.NatGeoWorldMap')",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Put the map in a cell."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "map_cell = ipysheet.cell(0, 0, m,  style={'min-width': '600px'})",
      "execution_count": 4,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Create sliders."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "width_slider = widgets.IntSlider(value=925, min=0, max=925, layout=widgets.Layout(width='925px'))\nheight_slider = widgets.IntSlider(value=600, min=0, max=600, orientation='vertical',layout=widgets.Layout(height='600px'))",
      "execution_count": 5,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "checkbox = widgets.Checkbox(description=\"Plot\", indent=False)\nchk_cell = ipysheet.cell(1, 1, checkbox)",
      "execution_count": 6,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Put a slider in a cell."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "width_cell = ipysheet.cell(1, 0, width_slider, style={'min-width': '600px'})\nheight_cell = ipysheet.cell(0, 1, height_slider)",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Create a plot."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "size = 18\nscale = 100.\nnp.random.seed(0)\nx_data = np.arange(size)\ny_data = np.cumsum(np.random.randn(size)  * scale)\n\nfig = plt.figure()\naxes_options = {'x': {'label': 'Date', 'tick_format': '%m/%d'},\n                'y': {'label': 'Price', 'tick_format': '0.0f'}}\n\nscatt = plt.scatter(x_data, y_data, colors=['red'], stroke='black')\nfig.layout.width=\"450px\"\n\nhbox = widgets.HBox()",
      "execution_count": 8,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Observe slider changes."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "def change_width(change):\n    if change[\"new\"]:\n        m.layout.width = str(width_slider.value) + \"px\"\nwidth_slider.observe(change_width)",
      "execution_count": 9,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "def change_height(change):\n    if change[\"new\"]:\n        m.layout.height = str(height_slider.value) + \"px\"\nheight_slider.observe(change_height)",
      "execution_count": 10,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "def chk_change(change):\n    if checkbox.value:\n        hbox.children = [fig]\n    else:\n        hbox.children = []\ncheckbox.observe(chk_change)",
      "execution_count": 11,
      "outputs": []
    },
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "Add plot to the map."
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "data_control = ipyleaflet.WidgetControl(widget=hbox, position=\"bottomright\")\nm.add_control(data_control)",
      "execution_count": 12,
      "outputs": []
    }
  ],
  "metadata": {
    "hide_input": false,
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.8.5",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "toc": {
      "nav_menu": {},
      "number_sections": true,
      "sideBar": true,
      "skip_h1_title": false,
      "base_numbering": 1,
      "title_cell": "Table of Contents",
      "title_sidebar": "Contents",
      "toc_cell": false,
      "toc_position": {},
      "toc_section_display": true,
      "toc_window_display": false
    },
    "varInspector": {
      "window_display": false,
      "cols": {
        "lenName": 16,
        "lenType": 16,
        "lenVar": 40
      },
      "kernels_config": {
        "python": {
          "library": "var_list.py",
          "delete_cmd_prefix": "del ",
          "delete_cmd_postfix": "",
          "varRefreshCmd": "print(var_dic_list())"
        },
        "r": {
          "library": "var_list.r",
          "delete_cmd_prefix": "rm(",
          "delete_cmd_postfix": ") ",
          "varRefreshCmd": "cat(var_dic_list()) "
        }
      },
      "types_to_exclude": [
        "module",
        "function",
        "builtin_function_or_method",
        "instance",
        "_Feature"
      ]
    },
    "gist": {
      "id": "",
      "data": {
        "description": "ipysheet",
        "public": true
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 4
}