diff --git a/.gitignore b/.gitignore
index b8f1fc9..362b66e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -21,6 +21,7 @@ MANIFEST
 # Sphinx
 docs/api
 docs/_build
+docs/_facility_pages
 
 # Eclipse editor project files
 .project
diff --git a/.travis.yml b/.travis.yml
index 112eb4e..2a216f9 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -16,10 +16,6 @@ matrix:
         - python: 2.7
           env: SETUP_CMD='test --coverage'
         
-        # Generate docs in Python 2
-        - python: 2.7
-          env: SETUP_CMD='build_docs'
-        
         # Do a coverage test in Python 3.
         - python: 3.6
           env: SETUP_CMD='test --coverage'
diff --git a/docs/_templates/facility_page.rst b/docs/_templates/facility_page.rst
new file mode 100644
index 0000000..dd2a2e4
--- /dev/null
+++ b/docs/_templates/facility_page.rst
@@ -0,0 +1,44 @@
+Filters of Observation Facility: {{ facility }}
+====================================================
+
+{% set facility_data=data[data['Obs. Facility']==facility] %}
+{% set inst_list=facility_data['Instrument'].unique().tolist() %}
+{% for inst in inst_list %}
+
+{% if inst!='NA' %}
+{% if loop.first %}
+Following **Instruments** are present:
+
+{% endif %}
+
+{{ inst }}
+--------------------------
+
+{% endif %}
+
+{% set inst_data=facility_data[facility_data['Instrument']==inst] %}
+
+.. list-table::
+   :header-rows: 1
+
+   * - {{ inst_data.index.name }}
+{% for col_name in inst_data.columns.values %}
+     - {{ col_name }}
+{% endfor %}
+
+{% for filter_info in inst_data.itertuples() %}
+{% for info in filter_info %}
+{% if loop.first %}
+   * - {{ info }}
+{% elif loop.last %}
+     - {{ info|replace('_ ','\_ ') }}
+{% else %}
+     - {{ info }}
+{% endif %}
+{% endfor %}
+{% endfor %}
+
+
+<Plots>
+
+{% endfor %}
\ No newline at end of file
diff --git a/docs/conf.py b/docs/conf.py
index eef4351..e0f6f3e 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -178,3 +178,55 @@
 
     edit_on_github_source_root = ""
     edit_on_github_doc_root = "docs"
+
+
+# Render rst pages as a jinja template to be able 
+# to generate rst docs from data (i.e. passed to template context) ---------
+def rst_jinja(app, docname, source):
+    if app.builder.format != 'html':  # Make sure builder output is HTML
+        return
+    src = source[0]
+    context = app.config.html_context  # context dictionary, passed for rendering
+    context.update(facility_context(docname))
+    rendered = app.builder.templates.render_string(src, context)
+    source[0] = rendered
+
+def facility_context(docname):
+    dirs_in_path = docname.split(os.sep)
+    if '_facility_pages' in dirs_in_path[:-1]: 
+    # doc file (.rst) lies in directory "_facility_pages"
+        facility_name = dirs_in_path[-1]
+        context = {'facility': facility_name}
+    else:
+        context = {}
+    return context
+
+def setup(app):
+    app.connect("source-read", rst_jinja)
+
+
+import wsynphot
+import pandas as pd
+import shutil
+
+# Storing data into variables ------------------
+try:
+    df = wsynphot.list_filters()
+except IOError:  # If filter_data.h5 not present
+    wsynphot.download_filter_data()
+    df = wsynphot.list_filters()
+# Obtain list of Obsv. facilities from df
+facility_list = df['Obs. Facility'].unique().tolist()
+
+# Pass data variables to html_context for rendering templates ------
+html_context = {
+    'data': df,
+    'facility_list': facility_list
+}
+
+# Automatically create(or overwrite) doc for filters of each obsv. facility
+# by using facilty_page.rst as template file to populate all facilty pages
+os.makedirs('_facility_pages', exist_ok=True)
+for facility in facility_list:
+    shutil.copyfile('_templates/facility_page.rst',
+                    os.path.join('_facility_pages', '{0}.rst'.format(facility)))
diff --git a/docs/filter-curves.ipynb b/docs/filter-curves.ipynb
new file mode 100644
index 0000000..a3d35a2
--- /dev/null
+++ b/docs/filter-curves.ipynb
@@ -0,0 +1,339 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Plot & Compare Filter Curves by selecting the required Observation Facility and Instrument"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\u001b[1mpy.warnings         \u001b[0m][\u001b[1;33mWARNING\u001b[0m]  /home/jpolygon/miniconda3/envs/wsp-doc-new/lib/python2.7/site-packages/tqdm/autonotebook/__init__.py:14: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
+      "  \" (e.g. in jupyter console)\", TqdmExperimentalWarning)\n",
+      " (\u001b[1m__init__.py\u001b[0m:14)\n",
+      "Populating the interactive namespace from numpy and matplotlib\n"
+     ]
+    }
+   ],
+   "source": [
+    "import wsynphot\n",
+    "%pylab notebook\n",
+    "plt.style.use('seaborn-colorblind')\n",
+    "plt.style.use('seaborn-notebook')\n",
+    "from IPython.display import *\n",
+    "import ipywidgets as widgets\n",
+    "from ipywidgets import *\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "9ae5214067b146c1ae9d797345147063",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "aW50ZXJhY3RpdmUoY2hpbGRyZW49KERyb3Bkb3duKGRlc2NyaXB0aW9uPXUnT2JzZXJ2YXRpb24gRmFjaWxpdHk6JywgbGF5b3V0PUxheW91dCh3aWR0aD11JzMwMHB4JyksIG9wdGlvbnM9KHXigKY=\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<function __main__.plot_filters>"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "try:\n",
+    "    df=wsynphot.list_filters()\n",
+    "except IOError:#If filter_data.h5 not present\n",
+    "    wsynphot.download_filter_data()\n",
+    "    df=wsynphot.list_filters()\n",
+    "#Populate dropdown of Obs. facility (widget1) from df\n",
+    "obsfac=pd.Series(df['Obs. Facility'].unique())\n",
+    "widget1 = Dropdown(options = obsfac,\n",
+    "                   description='Observation Facility:',\n",
+    "                   style={'description_width': 'initial'},\n",
+    "                   layout=Layout(width='300px'))\n",
+    "\n",
+    "widget2 = Dropdown(description='Instrument:',\n",
+    "                   layout=Layout(left='40px',width='260px'))\n",
+    "\n",
+    "#Update dropdown of Instrument (widget2) on basis of selection in widget1\n",
+    "def update(*args):\n",
+    "    widget2.options = df[df['Obs. Facility']==widget1.value]['Instrument'].unique().tolist()\n",
+    "    \n",
+    "widget1.observe(update, names='value')\n",
+    "\n",
+    "#Plot the filters on basis of selection from both widgets (the selected obs. facilty & instrument combination)\n",
+    "def plot_filters(w1,w2):\n",
+    "    if w1 and w2:\n",
+    "        df1=df[df['Obs. Facility']==w1]\n",
+    "        filters=df1[df1['Instrument']==w2].index.tolist()\n",
+    "        plt.figure(figsize=(20,5))\n",
+    "        print 'No of filters:',len(filters)\n",
+    "        for filt in filters:\n",
+    "            filter = wsynphot.FilterCurve.load_filter(filt)\n",
+    "            filter.plot(gca())\n",
+    "            print(filt)\n",
+    "\n",
+    "interact(plot_filters,w1=widget1,w2=widget2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.15"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {
+     "0407cb0045104ac4893fecdac443d120": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "1.1.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "1f3120df079a4f469d0a9ad6f1cb9541": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "1.4.0",
+      "model_name": "DescriptionStyleModel",
+      "state": {
+       "description_width": "initial"
+      }
+     },
+     "22434744f0b446a89a6a08444d3ba56b": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "1.1.0",
+      "model_name": "LayoutModel",
+      "state": {
+       "left": "40px",
+       "width": "260px"
+      }
+     },
+     "36560ac929d74ca5a7abdd1a98c2445e": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "1.1.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "42fc4ed1267c493fa593cb34c0ac574d": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "1.1.0",
+      "model_name": "LayoutModel",
+      "state": {
+       "width": "300px"
+      }
+     },
+     "793fe4f0940e445ea9680da805b5ed80": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "1.4.0",
+      "model_name": "DropdownModel",
+      "state": {
+       "_options_labels": [
+        "IRAC",
+        "MIPS"
+       ],
+       "description": "Instrument:",
+       "index": 0,
+       "layout": "IPY_MODEL_22434744f0b446a89a6a08444d3ba56b",
+       "style": "IPY_MODEL_92b4ffc2ca2245a0acbcbbdf1eb781f2"
+      }
+     },
+     "84a56b793c36459aa3095d65a5ab6ed0": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "1.4.0",
+      "model_name": "DropdownModel",
+      "state": {
+       "_options_labels": [
+        "2MASS",
+        "AAO",
+        "AKARI",
+        "Astrosat",
+        "BOK",
+        "CAHA",
+        "CFHT",
+        "COBE",
+        "CTIO",
+        "DENIS",
+        "Euclid",
+        "GAIA",
+        "GALEX",
+        "GCPD",
+        "Gemini",
+        "Generic",
+        "Geneva",
+        "GTC",
+        "Herschel",
+        "Hipparcos",
+        "HST",
+        "IAC80",
+        "ING",
+        "INT",
+        "IRAS",
+        "ISO",
+        "IUE",
+        "JWST",
+        "Keck",
+        "Kepler",
+        "KPNO",
+        "LasCumbres",
+        "LaSilla",
+        "LBT",
+        "LCO",
+        "LICK",
+        "Liverpool",
+        "LSST",
+        "McD",
+        "Misc",
+        "MKO",
+        "MMT",
+        "MSX",
+        "NIRT",
+        "NOAO",
+        "NOT",
+        "OAF",
+        "OAJ",
+        "OSN",
+        "P200",
+        "Palomar",
+        "PAN-STARRS",
+        "Paranal",
+        "SAO",
+        "Scorpio",
+        "SkyMapper",
+        "SLOAN",
+        "SOFIA",
+        "Special",
+        "Spitzer",
+        "STELLA",
+        "Subaru",
+        "Swift",
+        "TCS",
+        "TD1",
+        "TESS",
+        "TJO",
+        "TNG",
+        "TNO",
+        "TYCHO",
+        "UKIRT",
+        "VATT",
+        "WFIRST",
+        "WHT",
+        "WISE",
+        "WIYN"
+       ],
+       "description": "Observation Facility:",
+       "index": 59,
+       "layout": "IPY_MODEL_42fc4ed1267c493fa593cb34c0ac574d",
+       "style": "IPY_MODEL_1f3120df079a4f469d0a9ad6f1cb9541"
+      }
+     },
+     "92b4ffc2ca2245a0acbcbbdf1eb781f2": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "1.4.0",
+      "model_name": "DescriptionStyleModel",
+      "state": {
+       "description_width": ""
+      }
+     },
+     "9a5e26ff3a5842d5bd3e376435781908": {
+      "model_module": "@jupyter-widgets/output",
+      "model_module_version": "1.0.0",
+      "model_name": "OutputModel",
+      "state": {
+       "layout": "IPY_MODEL_36560ac929d74ca5a7abdd1a98c2445e",
+       "outputs": [
+        {
+         "data": {
+          "application/javascript": "/* Put everything inside the global mpl namespace */\nwindow.mpl = {};\n\n\nmpl.get_websocket_type = function() {\n    if (typeof(WebSocket) !== 'undefined') {\n        return WebSocket;\n    } else if (typeof(MozWebSocket) !== 'undefined') {\n        return MozWebSocket;\n    } else {\n        alert('Your browser does not have WebSocket support.' +\n              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n              'Firefox 4 and 5 are also supported but you ' +\n              'have to enable WebSockets in about:config.');\n    };\n}\n\nmpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n    this.id = figure_id;\n\n    this.ws = websocket;\n\n    this.supports_binary = (this.ws.binaryType != undefined);\n\n    if (!this.supports_binary) {\n        var warnings = document.getElementById(\"mpl-warnings\");\n        if (warnings) {\n            warnings.style.display = 'block';\n            warnings.textContent = (\n                \"This browser does not support binary websocket messages. \" +\n                    \"Performance may be slow.\");\n        }\n    }\n\n    this.imageObj = new Image();\n\n    this.context = undefined;\n    this.message = undefined;\n    this.canvas = undefined;\n    this.rubberband_canvas = undefined;\n    this.rubberband_context = undefined;\n    this.format_dropdown = undefined;\n\n    this.image_mode = 'full';\n\n    this.root = $('<div/>');\n    this._root_extra_style(this.root)\n    this.root.attr('style', 'display: inline-block');\n\n    $(parent_element).append(this.root);\n\n    this._init_header(this);\n    this._init_canvas(this);\n    this._init_toolbar(this);\n\n    var fig = this;\n\n    this.waiting = false;\n\n    this.ws.onopen =  function () {\n            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n            fig.send_message(\"send_image_mode\", {});\n            if (mpl.ratio != 1) {\n                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n            }\n            fig.send_message(\"refresh\", {});\n        }\n\n    this.imageObj.onload = function() {\n            if (fig.image_mode == 'full') {\n                // Full images could contain transparency (where diff images\n                // almost always do), so we need to clear the canvas so that\n                // there is no ghosting.\n                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n            }\n            fig.context.drawImage(fig.imageObj, 0, 0);\n        };\n\n    this.imageObj.onunload = function() {\n        fig.ws.close();\n    }\n\n    this.ws.onmessage = this._make_on_message_function(this);\n\n    this.ondownload = ondownload;\n}\n\nmpl.figure.prototype._init_header = function() {\n    var titlebar = $(\n        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n        'ui-helper-clearfix\"/>');\n    var titletext = $(\n        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n        'text-align: center; padding: 3px;\"/>');\n    titlebar.append(titletext)\n    this.root.append(titlebar);\n    this.header = titletext[0];\n}\n\n\n\nmpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n\n}\n\n\nmpl.figure.prototype._root_extra_style = function(canvas_div) {\n\n}\n\nmpl.figure.prototype._init_canvas = function() {\n    var fig = this;\n\n    var canvas_div = $('<div/>');\n\n    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n\n    function canvas_keyboard_event(event) {\n        return fig.key_event(event, event['data']);\n    }\n\n    canvas_div.keydown('key_press', canvas_keyboard_event);\n    canvas_div.keyup('key_release', canvas_keyboard_event);\n    this.canvas_div = canvas_div\n    this._canvas_extra_style(canvas_div)\n    this.root.append(canvas_div);\n\n    var canvas = $('<canvas/>');\n    canvas.addClass('mpl-canvas');\n    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n\n    this.canvas = canvas[0];\n    this.context = canvas[0].getContext(\"2d\");\n\n    var backingStore = this.context.backingStorePixelRatio ||\n\tthis.context.webkitBackingStorePixelRatio ||\n\tthis.context.mozBackingStorePixelRatio ||\n\tthis.context.msBackingStorePixelRatio ||\n\tthis.context.oBackingStorePixelRatio ||\n\tthis.context.backingStorePixelRatio || 1;\n\n    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n\n    var rubberband = $('<canvas/>');\n    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n\n    var pass_mouse_events = true;\n\n    canvas_div.resizable({\n        start: function(event, ui) {\n            pass_mouse_events = false;\n        },\n        resize: function(event, ui) {\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n        stop: function(event, ui) {\n            pass_mouse_events = true;\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n    });\n\n    function mouse_event_fn(event) {\n        if (pass_mouse_events)\n            return fig.mouse_event(event, event['data']);\n    }\n\n    rubberband.mousedown('button_press', mouse_event_fn);\n    rubberband.mouseup('button_release', mouse_event_fn);\n    // Throttle sequential mouse events to 1 every 20ms.\n    rubberband.mousemove('motion_notify', mouse_event_fn);\n\n    rubberband.mouseenter('figure_enter', mouse_event_fn);\n    rubberband.mouseleave('figure_leave', mouse_event_fn);\n\n    canvas_div.on(\"wheel\", function (event) {\n        event = event.originalEvent;\n        event['data'] = 'scroll'\n        if (event.deltaY < 0) {\n            event.step = 1;\n        } else {\n            event.step = -1;\n        }\n        mouse_event_fn(event);\n    });\n\n    canvas_div.append(canvas);\n    canvas_div.append(rubberband);\n\n    this.rubberband = rubberband;\n    this.rubberband_canvas = rubberband[0];\n    this.rubberband_context = rubberband[0].getContext(\"2d\");\n    this.rubberband_context.strokeStyle = \"#000000\";\n\n    this._resize_canvas = function(width, height) {\n        // Keep the size of the canvas, canvas container, and rubber band\n        // canvas in synch.\n        canvas_div.css('width', width)\n        canvas_div.css('height', height)\n\n        canvas.attr('width', width * mpl.ratio);\n        canvas.attr('height', height * mpl.ratio);\n        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n\n        rubberband.attr('width', width);\n        rubberband.attr('height', height);\n    }\n\n    // Set the figure to an initial 600x600px, this will subsequently be updated\n    // upon first draw.\n    this._resize_canvas(600, 600);\n\n    // Disable right mouse context menu.\n    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n        return false;\n    });\n\n    function set_focus () {\n        canvas.focus();\n        canvas_div.focus();\n    }\n\n    window.setTimeout(set_focus, 100);\n}\n\nmpl.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) {\n            // put a spacer in here.\n            continue;\n        }\n        var button = $('<button/>');\n        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n                        'ui-button-icon-only');\n        button.attr('role', 'button');\n        button.attr('aria-disabled', 'false');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n\n        var icon_img = $('<span/>');\n        icon_img.addClass('ui-button-icon-primary ui-icon');\n        icon_img.addClass(image);\n        icon_img.addClass('ui-corner-all');\n\n        var tooltip_span = $('<span/>');\n        tooltip_span.addClass('ui-button-text');\n        tooltip_span.html(tooltip);\n\n        button.append(icon_img);\n        button.append(tooltip_span);\n\n        nav_element.append(button);\n    }\n\n    var fmt_picker_span = $('<span/>');\n\n    var fmt_picker = $('<select/>');\n    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n    fmt_picker_span.append(fmt_picker);\n    nav_element.append(fmt_picker_span);\n    this.format_dropdown = fmt_picker[0];\n\n    for (var ind in mpl.extensions) {\n        var fmt = mpl.extensions[ind];\n        var option = $(\n            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n        fmt_picker.append(option)\n    }\n\n    // Add hover states to the ui-buttons\n    $( \".ui-button\" ).hover(\n        function() { $(this).addClass(\"ui-state-hover\");},\n        function() { $(this).removeClass(\"ui-state-hover\");}\n    );\n\n    var status_bar = $('<span class=\"mpl-message\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n}\n\nmpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n    // which will in turn request a refresh of the image.\n    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n}\n\nmpl.figure.prototype.send_message = function(type, properties) {\n    properties['type'] = type;\n    properties['figure_id'] = this.id;\n    this.ws.send(JSON.stringify(properties));\n}\n\nmpl.figure.prototype.send_draw_message = function() {\n    if (!this.waiting) {\n        this.waiting = true;\n        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n    }\n}\n\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    var format_dropdown = fig.format_dropdown;\n    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n    fig.ondownload(fig, format);\n}\n\n\nmpl.figure.prototype.handle_resize = function(fig, msg) {\n    var size = msg['size'];\n    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n        fig._resize_canvas(size[0], size[1]);\n        fig.send_message(\"refresh\", {});\n    };\n}\n\nmpl.figure.prototype.handle_rubberband = function(fig, msg) {\n    var x0 = msg['x0'] / mpl.ratio;\n    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n    var x1 = msg['x1'] / mpl.ratio;\n    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n    x0 = Math.floor(x0) + 0.5;\n    y0 = Math.floor(y0) + 0.5;\n    x1 = Math.floor(x1) + 0.5;\n    y1 = Math.floor(y1) + 0.5;\n    var min_x = Math.min(x0, x1);\n    var min_y = Math.min(y0, y1);\n    var width = Math.abs(x1 - x0);\n    var height = Math.abs(y1 - y0);\n\n    fig.rubberband_context.clearRect(\n        0, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.figure.prototype.handle_cursor = function(fig, msg) {\n    var cursor = msg['cursor'];\n    switch(cursor)\n    {\n    case 0:\n        cursor = 'pointer';\n        break;\n    case 1:\n        cursor = 'default';\n        break;\n    case 2:\n        cursor = 'crosshair';\n        break;\n    case 3:\n        cursor = 'move';\n        break;\n    }\n    fig.rubberband_canvas.style.cursor = cursor;\n}\n\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.figure.prototype.updated_canvas_event = function() {\n    // Called whenever the canvas gets updated.\n    this.send_message(\"ack\", {});\n}\n\n// A function to construct a web socket function for onmessage handling.\n// Called in the figure constructor.\nmpl.figure.prototype._make_on_message_function = function(fig) {\n    return function socket_on_message(evt) {\n        if (evt.data instanceof Blob) {\n            /* 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            evt.data.type = \"image/png\";\n\n            /* Free the memory for the previous frames */\n            if (fig.imageObj.src) {\n                (window.URL || window.webkitURL).revokeObjectURL(\n                    fig.imageObj.src);\n            }\n\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\nmpl.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 */\nfunction 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\nmpl.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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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\nmpl.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\nmpl.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\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.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\nmpl.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\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (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": {
+          "text/html": "<div id='0602e00d-18b8-416c-923b-2d76e6b11cdc'></div>",
+          "text/plain": "<IPython.core.display.HTML object>"
+         },
+         "metadata": {},
+         "output_type": "display_data"
+        },
+        {
+         "name": "stdout",
+         "output_type": "stream",
+         "text": "No of filters: 4\nSpitzer/IRAC/I1\nSpitzer/IRAC/I2\nSpitzer/IRAC/I3\nSpitzer/IRAC/I4\n"
+        }
+       ]
+      }
+     },
+     "9ae5214067b146c1ae9d797345147063": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "1.4.0",
+      "model_name": "VBoxModel",
+      "state": {
+       "_dom_classes": [
+        "widget-interact"
+       ],
+       "children": [
+        "IPY_MODEL_84a56b793c36459aa3095d65a5ab6ed0",
+        "IPY_MODEL_793fe4f0940e445ea9680da805b5ed80",
+        "IPY_MODEL_9a5e26ff3a5842d5bd3e376435781908"
+       ],
+       "layout": "IPY_MODEL_0407cb0045104ac4893fecdac443d120"
+      }
+     }
+    },
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/docs/filter-list.rst b/docs/filter-list.rst
new file mode 100644
index 0000000..41616af
--- /dev/null
+++ b/docs/filter-list.rst
@@ -0,0 +1,29 @@
+List of the available filters
+=============================
+
+.. list-table:: 
+   :widths: 30 40 30
+   :header-rows: 1
+
+   * - Observation Facility
+     - Instruments
+     - No. of Filters
+
+   {% for facility in facility_list %}
+   {% set facility_data=data[data['Obs. Facility']==facility] %}
+   * - :doc:`{{ facility|string() }} <_facility_pages/{{ facility|string() }}>`
+     - {% for inst in facility_data['Instrument'].unique().tolist() %}
+       {% if inst == 'NA' %}
+       \-
+       {% else %}
+       #. `{{ inst }} <_facility_pages/{{ facility|string() }}.html#{{ inst|lower()|replace('_','-') }}>`__
+       {% endif %}
+       {% endfor %}
+     - {{ facility_data|length() }}
+   {% endfor %}
+
+.. toctree::
+   :hidden:
+   :glob:
+
+   _facility_pages/*
\ No newline at end of file
diff --git a/docs/index.rst b/docs/index.rst
index b956113..d78199f 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -9,3 +9,5 @@ This is a package for doing synthetic photometry.
 
   installation
   quickstart
+  filter-curves
+  filter-list