spatialist_tutorial.ipynb

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    "%matplotlib inline\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "from spatialist import Raster, Vector\n",
    "from spatialist.explorer import RasterViewer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A small time series plotting example\n",
    "Along with this package we provide a small data Sentinel-1 SAR data set acquired in Interferometric (IW) Ground Range Detected (GRD) mode. It shows a small area in the Camargue, Southern France.  \n",
    "This data set contains all images acquired in the area from January 1st 2017 to December 31st 2017, a total of 160 time steps.  \n",
    "Currently we are developing a time series visualization tool based on matplotlib. Here you can test its capabilities live.."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = 'tutorial_data/S1_GRD_VV_France_Camargue_2017-01-01_2017-12-31'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "class      : spatialist Raster object\n",
      "dimensions : 100, 100, 160 (rows, cols, bands)\n",
      "resolution : 20.0, -20.0 (x, y)\n",
      "extent     : 603068.241, 605068.241, 4818654.701, 4820654.701 (xmin, xmax, ymin, ymax)\n",
      "coord. ref.: +proj=utm +zone=31 +datum=WGS84 +units=m +no_defs \n",
      "data source: /home/truc_jh/PycharmProjects/spatialist/tutorial_data/S1_GRD_VV_France_Camargue_2017-01-01_2017-12-31\n"
     ]
    }
   ],
   "source": [
    "with Raster(dataset) as ras:\n",
    "    print(ras)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### time stamp parsing\n",
    "The bands of our test dataset contain information about the acquisition time. In this case, it is in the format YYYYmmddTHHMMSS, e.g. 20170525T055204. We can pass a custom function to convert this time stamp string into a python datetime object via parameter `ts_convert`. This function needs to be able to convert a single band name into a datetime object, i.e. not a list of all names at once. The following function `ts` first uses  a [regular expression](https://docs.python.org/3/library/re.html) to search for the string part containing the time stamp and then parses a datetime object by defining the format of the time stamp, i.e. which part contains the year, month, etc. See [datetime.strptime](https://docs.python.org/3/library/datetime.html#strftime-strptime-behavior)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "from datetime import datetime\n",
    "def ts(bandname):\n",
    "    match = re.search('[0-9T]{15}', bandname).group()\n",
    "    return datetime.strptime(match, '%Y%m%dT%H%M%S')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following is the core time series visualization tool of spatialist. It makes use of ipywidgets to make the plots interactive. In case the widgets don't start, execute the following and restart jupyter:\n",
    "```console\n",
    "jupyter nbextension install --py widgetsnbextension --user\n",
    "jupyter nbextension enable widgetsnbextension --user --py\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "define a custom function to extend the basic plotting functionality:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "def histogram(axis, values):\n",
    "    hist = sns.distplot(values, hist=True, kde=True,\n",
    "                    bins=int(180 / 5), color='darkblue',\n",
    "                    hist_kws={'edgecolor': 'black'},\n",
    "                    kde_kws={'linewidth': 4},\n",
    "                    ax=axis)\n",
    "    hist.set(xlabel='backscatter [dB]', ylabel='density')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "initialize the interactive plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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       "VBox(children=(HBox(children=(IntSlider(value=81, continuous_update=False, description='band', max=160, min=1,…"
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       "\n",
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       "\n",
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       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
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       "\n",
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       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>');\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"936\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "matplotlib.rcParams['figure.figsize'] = (13, 10)\n",
    "view = RasterViewer(dataset, cmap='gray', pmin=1, pmax=99, ts_convert=ts, \n",
    "                    title='S1 time series Camargue, France', datalabel='backscatter [dB]',\n",
    "                    custom=[histogram])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### subsetting a raster object\n",
    "In the following examples we want to subset our Raster data using pixel indices as well as vector data from a shapefile.  \n",
    "first we display band 1 of the whole data set:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "with Raster(dataset) as ras:\n",
    "    plt.imshow(ras.matrix(1))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "next we display a subset of this band:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "with Raster(dataset)[0:50,:,0] as ras:\n",
    "    plt.imshow(ras.matrix())\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "now we take a shapefile that is provided with this tutorial, subset the raster data with it and again display one of the layers. In this step, the Raster object is first subsetted to the extent of the vector bounding box and then all areas not overlapping with the shapefile geometries are masked."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "shapefile = 'tutorial_data/subset.shp'\n",
    "with Raster(dataset) as ras:\n",
    "    with Vector(shapefile) as vec:\n",
    "        with ras[vec] as sub:\n",
    "            plt.imshow(sub.matrix(band=1))\n",
    "            plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's do something a bit more complex. In the following we define a second shapefile, compute this intersection of the two and use the intersection for subsetting our raster dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from spatialist.vector import intersect\n",
    "shp2 = 'tutorial_data/subset2.shp'\n",
    "with Raster(dataset) as ras:\n",
    "    with Vector(shapefile) as vec1:\n",
    "        with Vector(shp2) as vec2:\n",
    "            with intersect(vec1, vec2) as inter:\n",
    "                with ras[inter] as sub:\n",
    "                    plt.imshow(sub.matrix(band=1))\n",
    "                    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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