diff --git a/docs/Jupyter/FFF_Tusj.ttf b/docs/Jupyter/FFF_Tusj.ttf
new file mode 100644
index 000000000..cee0f7fe7
Binary files /dev/null and b/docs/Jupyter/FFF_Tusj.ttf differ
diff --git a/docs/Jupyter/VCS_Text_Objects.ipynb b/docs/Jupyter/VCS_Text_Objects.ipynb
index 401e8cac7..3873c5fd5 100644
--- a/docs/Jupyter/VCS_Text_Objects.ipynb
+++ b/docs/Jupyter/VCS_Text_Objects.ipynb
@@ -45,7 +45,7 @@
       "---------- Text combined (Tc) member (attribute) listings ----------\n",
       "secondary method = Tc\n",
       " ---------- Text Table (Tt) member (attribute) listings ----------\n",
-      "Tt_name = __texttable_120949571768503\n",
+      "Tt_name = __texttable_905844340249372\n",
       "font = 1\n",
       "spacing = 2\n",
       "expansion = 100\n",
@@ -59,7 +59,7 @@
       "y = None\n",
       "projection = default\n",
       " ---------- Text Orientation (To) member (attribute) listings ----------\n",
-      "To_name = __textorientation_288802062631269\n",
+      "To_name = __textorientation_795655648172489\n",
       "height = 14\n",
       "angle = 0\n",
       "path = right\n",
@@ -70,6 +70,7 @@
    ],
    "source": [
     "# Styling for notebook\n",
+    "from __future__ import print_function\n",
     "from IPython.core.display import HTML\n",
     "HTML(\"\"\"\n",
     "<style>\n",
@@ -111,7 +112,7 @@
      "data": {
       "image/png": "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\n",
       "text/plain": [
-       "<vcs.displayplot.Dp at 0x7fb9022792a8>"
+       "<vcs.displayplot.Dp at 0x12cdd3690>"
       ]
      },
      "execution_count": 2,
@@ -140,11 +141,7 @@
     "\n",
     "Available fonts a are available via the `vcs.getlistelements(\"font\")` option\n",
     "\n",
-    "Default fonts are:\n",
-    "\n",
-    "`Adelon', 'Arabic', 'AvantGarde', 'Chinese', 'Clarendon', 'Courier', 'DejaVuSans', 'DejaVuSans-Bold', 'DejaVuSans-BoldOblique', 'DejaVuSans-ExtraLight', 'DejaVuSans-Oblique', 'DejaVuSansCondensed', 'DejaVuSansCondensed-Bold', 'DejaVuSansCondensed-BoldOblique', 'DejaVuSansCondensed-Oblique', 'Greek', 'Hebrew', 'Helvetica', 'Maths1', 'Maths2', 'Maths3', 'Maths4', 'Russian', 'Times'\n",
-    "\n",
-    "Example:\n"
+    "Default fonts are:"
    ]
   },
   {
@@ -152,25 +149,152 @@
    "execution_count": 3,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Adelon', 'Arabic', 'AvantGarde', 'Chinese', 'Clarendon', 'Courier', 'DejaVuSans', 'DejaVuSans-Bold', 'DejaVuSans-BoldOblique', 'DejaVuSans-ExtraLight', 'DejaVuSans-Oblique', 'DejaVuSansCondensed', 'DejaVuSansCondensed-Bold', 'DejaVuSansCondensed-BoldOblique', 'DejaVuSansCondensed-Oblique', 'Greek', 'Hebrew', 'Helvetica', 'Maths1', 'Maths2', 'Maths3', 'Maths4', 'Russian', 'Times', 'default']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(vcs.listelements(\"font\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also access font by their number, you can get a font name based on its number or vice-versa get a font number based on its name"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The 'Times' font number is: 6\n",
+      "The name of number 5 is: Adelon\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"The 'Times' font number is:\",vcs.getfontnumber(\"Times\"))\n",
+    "print(\"The name of number 5 is:\", vcs.getfont(5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Default font<a id=\"deffont\"></a>\n",
+    "\n",
+    "If you wish to change vcs default font (will affect every object using font 1) you can use `setdefaultfont`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<vcs.displayplot.Dp at 0x12cdd3a78>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "canvas.clear()\n",
+    "t = canvas.createtext()\n",
+    "t.string = \"Default as default font\"\n",
+    "t.x = .3\n",
+    "t.halign = \"center\"\n",
+    "t.y = .5\n",
+    "canvas.plot(t)\n",
+    "vcs.setdefaultfont(\"DejaVuSans-Bold\")\n",
+    "t = canvas.createtext()\n",
+    "t.string = \"DejaVuSans-Bold as default font\"\n",
+    "t.x = .7\n",
+    "t.halign = \"center\"\n",
+    "t.y = .5\n",
+    "canvas.plot(t)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Example:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "I,f: 0 Adelon\n",
+      "I,f: 1 Arabic\n",
+      "I,f: 2 AvantGarde\n",
+      "I,f: 3 Chinese\n",
+      "I,f: 4 Clarendon\n",
+      "I,f: 5 Courier\n",
+      "I,f: 6 DejaVuSans\n",
+      "I,f: 7 DejaVuSans-Bold\n",
+      "I,f: 8 DejaVuSans-BoldOblique\n",
+      "I,f: 9 DejaVuSans-ExtraLight\n",
+      "I,f: 10 DejaVuSans-Oblique\n",
+      "I,f: 11 DejaVuSansCondensed\n",
+      "I,f: 12 DejaVuSansCondensed-Bold\n",
+      "I,f: 13 DejaVuSansCondensed-BoldOblique\n",
+      "I,f: 14 DejaVuSansCondensed-Oblique\n",
+      "I,f: 15 Greek\n",
+      "I,f: 16 Hebrew\n",
+      "I,f: 17 Helvetica\n",
+      "I,f: 18 Maths1\n",
+      "I,f: 19 Maths2\n",
+      "I,f: 20 Maths3\n",
+      "I,f: 21 Maths4\n",
+      "I,f: 22 Russian\n",
+      "I,f: 23 Times\n",
+      "I,f: 24 default\n"
+     ]
+    },
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
-       "<vcs.displayplot.Dp at 0x7fb90239e9b0>"
+       "<vcs.displayplot.Dp at 0x12cda1050>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
+    "# rest to default font: AvantGarde\n",
+    "vcs.setdefaultfont(\"AvantGarde\")\n",
     "fonts = vcs.listelements(\"font\")\n",
     "N = len(fonts)\n",
     "grid = 5. # 5x5 grid\n",
     "delta = 1./6.\n",
     "canvas.clear()\n",
     "for i, font in enumerate(fonts):\n",
+    "    print(\"I,f:\",i,font)\n",
     "    txt.font = font\n",
     "    txt.string = font\n",
     "    yindx = i % grid\n",
@@ -191,15 +315,37 @@
    "source": [
     "#### Adding fonts<a id=\"adding\"></a>\n",
     "\n",
-    "You can add TrueType fonts to vcs by using the `canvas.addfont` function\n",
-    "\n",
-    "```\n",
-    "vcs.addfont(\"Path_to_my_font.ttf\", name=\"Myfont\")\n",
+    "You can add TrueType fonts to vcs by using the `canvas.addfont` function"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<vcs.displayplot.Dp at 0x12cdd3e60>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "canvas.clear()\n",
+    "vcs.addfont(\"FFF_Tusj.ttf\", name=\"Myfont\")\n",
     "txt.font = \"Myfont\"\n",
-    "```\n",
-    "\n",
-    "**Currently broken** see [this issue](https://github.com/CDAT/vcs/issues/343)\n",
-    "\n",
+    "canvas.plot(txt)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "### Color<a id=\"color\"></a>\n",
     "\n",
     "You can control the font `color` via the color attribute, you can send a string representing the color name, an index in the text object colormap.\n",
@@ -209,23 +355,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
-       "<vcs.displayplot.Dp at 0x7fb902279b40>"
+       "<vcs.displayplot.Dp at 0x12cdd3758>"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "canvas.clear()\n",
+    "txt.font = \"default\"\n",
     "txt.color = \"Red\"\n",
     "canvas.plot(txt)\n",
     "txt.x[0] += .2\n",
@@ -249,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -275,7 +422,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -303,17 +450,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "image/png": "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\n",
       "text/plain": [
-       "<vcs.displayplot.Dp at 0x7fb902279d98>"
+       "<vcs.displayplot.Dp at 0x12cdd3b40>"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -339,17 +486,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
-       "<vcs.displayplot.Dp at 0x7fb902279e60>"
+       "<vcs.displayplot.Dp at 0x12cdd3cd0>"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -377,17 +524,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
-       "<vcs.displayplot.Dp at 0x7fb902279500>"
+       "<vcs.displayplot.Dp at 0x12cda1500>"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -433,17 +580,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "image/png": 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\n",
       "text/plain": [
-       "<vcs.displayplot.Dp at 0x7fb90239e758>"
+       "<vcs.displayplot.Dp at 0x12cda19b0>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -503,25 +650,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/doutriaux1/anaconda2/envs/cdat8/lib/python2.7/site-packages/vtk/util/numpy_support.py:135: FutureWarning: Conversion of the second argument of issubdtype from `complex` to `np.complexfloating` is deprecated. In future, it will be treated as `np.complex128 == np.dtype(complex).type`.\n",
+      "/Users/doutriaux1/anaconda2/envs/cdat8/lib/python2.7/site-packages/vtk/util/numpy_support.py:135: FutureWarning: Conversion of the second argument of issubdtype from `complex` to `np.complexfloating` is deprecated. In future, it will be treated as `np.complex128 == np.dtype(complex).type`.\n",
       "  assert not numpy.issubdtype(z.dtype, complex), \\\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<vcs.displayplot.Dp at 0x7fb9022c3118>"
+       "<vcs.displayplot.Dp at 0x12cc9d820>"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -556,7 +703,7 @@
     "txt.halign = \"center\"\n",
     "txt.valign = \"half\"\n",
     "txt.color = \"red\"\n",
-    "txt.font = \"Times\"\n",
+    "txt.font = \"Myfont\"\n",
     "txt.height = 15\n",
     "txt.priority = 2\n",
     "txt.angle = -5\n",
diff --git a/tests/test_vcs_add_font.py b/tests/test_vcs_add_font.py
new file mode 100644
index 000000000..f8c63067e
--- /dev/null
+++ b/tests/test_vcs_add_font.py
@@ -0,0 +1,28 @@
+
+import basevcstest
+import numpy
+import MV2
+
+
+class TestVCSAddFont(basevcstest.VCSBaseTest):
+    def test_add_font(self):
+        nFonts = len(self.x.listelements("font"))
+        name = self.x.addfont("docs/Jupyter/FFF_Tusj.ttf")
+        # Make sure we added a font
+        nFontsAdded = len(self.x.listelements("font")) - nFonts
+        self.assertEqual(nFontsAdded, 1)
+        self.assertEqual(name, "FFF_Tusj")
+        txt = self.x.createtext()
+        txt.string = "MY TEST FONT"
+        txt.x = .4
+        txt.y = .5
+        txt.height = 15
+        txt.halign = "center"
+        self.x.plot(txt)
+        txt.font = name
+        txt.x = .6
+        self.x.plot(txt)
+        fnm = "test_vcs_add_font.png"
+        self.checkImage(fnm)
+
+
diff --git a/vcs/Canvas.py b/vcs/Canvas.py
index 4af549363..34035fef9 100644
--- a/vcs/Canvas.py
+++ b/vcs/Canvas.py
@@ -5609,47 +5609,8 @@ def getcolormap(self, Cp_name_src='default'):
     getcolormap.__doc__ = vcs.manageElements.getcolormap.__doc__
 
     def addfont(self, path, name=""):
-        """Add a font to VCS.
-
-        :param path: Path to the font file you wish to add (must be .ttf)
-        :type path: `str`_
-
-        :param name: Name to use to represent the font.
-        :type name: `str`_
-
-        .. pragma: skip-doctest If you can reliably test it, please do.
-        """
-        if not os.path.exists(path):
-            raise ValueError('Error -  The font path does not exists')
-        if os.path.isdir(path):
-            dir_files = []
-            files = []
-            if name == "":
-                subfiles = os.listdir(path)
-                for file in subfiles:
-                    dir_files.append(os.path.join(path, file))
-            elif name == 'r':
-                for root, dirs, subfiles in os.walk(path):
-                    for file in subfiles:
-                        dir_files.append(os.path.join(root, file))
-            for f in dir_files:
-                if f.lower()[-3:]in ['ttf', 'pfa', 'pfb']:
-                    files.append([f, ""])
-        else:
-            files = [[path, name], ]
-
-        nms = []
-        for f in files:
-            fnm, name = f
-            i = max(vcs.elements["fontNumber"].keys()) + 1
-            vcs.elements["font"][name] = fnm
-            vcs.elements["fontNumber"][i] = name
-        if len(nms) == 0:
-            raise vcsError('No font Loaded')
-        elif len(nms) > 1:
-            return nms
-        else:
-            return nms[0]
+        return vcs.addfont(path, name)
+    addfont.__doc__ = vcs.manageElements.addfont.__doc__
 
     def getfontnumber(self, name):
         return vcs.getfontnumber(name)
@@ -5660,136 +5621,20 @@ def getfontname(self, number):
     getfontname.__doc__ = vcs.utils.getfontname.__doc__
 
     def getfont(self, font):
-        """Get the font name/number associated with a font number/name
-
-        :Example:
-
-            .. doctest:: canvas_getfont
-
-                >>> a=vcs.init()
-                >>> font_names=[]
-                >>> for i in range(1,17):
-                ...     font_names.append(str(a.getfont(i))) # font_names is now filled with all font names
-                >>> font_names
-                ['default', ...]
-                >>> font_numbers = []
-                >>> for name in font_names:
-                ...     font_numbers.append(a.getfont(name)) # font_numbers is now filled with all font numbers
-                >>> font_numbers
-                [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]
-
-        :param font: The font name/number
-        :type font: `int`_ or `str`_
-
-        :returns: If font parameter was a string, will return the integer
-            associated with that string.
-            If font parameter was an integer, will return the string
-            associated with that integer.
-        :rtype: `int`_ or str
-        """
-        if isinstance(font, int):
-            return self.getfontname(font)
-        elif isinstance(font, str):
-            return self.getfontnumber(font)
-        else:
-            raise vcsError("Error you must pass a string or int")
+        return vcs.getfont(font)
+    getfont.__doc__ = vcs.manageElements.getfont.__doc__
 
     def switchfonts(self, font1, font2):
-        """Switch the font numbers of two fonts.
-
-        :Example:
-
-            .. doctest:: canvas_switchfonts
-
-                >>> a=vcs.init()
-                >>> maths1 = a.getfontnumber('Maths1') # store font number
-                >>> maths2 = a.getfontnumber('Maths2') # store font number
-                >>> a.switchfonts('Maths1','Maths2') # switch font numbers
-                >>> new_maths1 = a.getfontnumber('Maths1')
-                >>> new_maths2 = a.getfontnumber('Maths2')
-                >>> maths1 == new_maths2 and maths2 == new_maths1 # check
-                True
-
-        :param font1: The first font
-        :type font1: `int`_ or str
-
-        :param font2: The second font
-        :type font2: `int`_ or str
-        """
-        if isinstance(font1, str):
-            index1 = self.getfont(font1)
-        elif isinstance(font1, (int, float)):
-            index1 = int(font1)
-            self.getfont(index1)  # make sure font exists
-        else:
-            raise vcsError(
-                "Error you must pass either a number or font name!, you passed for font 1: %s" %
-                font1)
-        if isinstance(font2, str):
-            index2 = self.getfont(font2)
-        elif isinstance(font2, (int, float)):
-            index2 = int(font2)
-            self.getfont(index2)  # make sure font exists
-        else:
-            raise vcsError(
-                "Error you must pass either a number or font name!, you passed for font 2: %s" %
-                font2)
-        tmp = vcs.elements['fontNumber'][index1]
-        vcs.elements['fontNumber'][index1] = vcs.elements['fontNumber'][index2]
-        vcs.elements['fontNumber'][index2] = tmp
+        vcs.switchfonts(font1, font2)
+    switchfonts.__doc__ = vcs.manageElements.switchfonts.__doc__
 
     def copyfontto(self, font1, font2):
-        """Copy 'font1' into 'font2'.
-
-        :param font1: Name/number of font to copy
-        :type font1: `str`_ or int
-
-        :param font2: Name/number of destination
-        :type font2: `str`_ or `int`_
-
-        .. attention::
-
-            This function does not currently work.
-            It will be added in the future.
-
-        .. pragma: skip-doctest REMOVE WHEN IT WORKS AGAIN!
-        """
-        if isinstance(font1, str):
-            index1 = self.getfont(font1)
-        elif isinstance(font1, (int, float)):
-            index1 = int(font1)
-            self.getfont(index1)  # make sure font exists
-        else:
-            raise vcsError(
-                "Error you must pass either a number or font name!, you passed for font 1: %s" %
-                font1)
-        if isinstance(font2, str):
-            index2 = self.getfont(font2)
-        elif isinstance(font2, (int, float)):
-            index2 = int(font2)
-            self.getfont(index2)  # make sure font exists
-        else:
-            raise vcsError(
-                "Error you must pass either a number or font name!, you passed for font 2: %s" %
-                font2)
-        return self.canvas.copyfontto(*(index1, index2))
+        vcs.copyfontto(font1, font2)
+    copyfontto.__doc__ = vcs.manageElements.copyfontto.__doc__
 
     def setdefaultfont(self, font):
-        """Sets the passed/def show font as the default font for vcs
-
-        :param font: Font name or index to use as default
-        :type font: `str`_ or `int`_
-
-        .. attention::
-
-            This function does not currently work.
-            It will be implemented in the future.
-
-        .. pragma: skip-doctest REMOVE WHEN IT WORKS AGAIN!
-        """
-        if isinstance(font, str):
-            font = self.getfont(font)
-        return self.copyfontto(font, 1)
+        vcs.setdefaultfont(font)
+    setdefaultfont.__doc__ = vcs.manageElements.setdefaultfont.__doc__
 
     def orientation(self, *args, **kargs):
         """Return canvas orientation.
diff --git a/vcs/manageElements.py b/vcs/manageElements.py
index 010c2367e..b1ebb88d6 100644
--- a/vcs/manageElements.py
+++ b/vcs/manageElements.py
@@ -1984,3 +1984,188 @@ def removeobject(obj):
         msg = 'This ({}) is not a template, graphics method, or secondary method object.'.format(obj)
         raise vcsError(msg)
     return msg
+
+def addfont(path, name=""):
+    """Add a font to VCS.
+
+    :param path: Path to the font file you wish to add (must be .ttf)
+    :type path: `str`_
+
+    :param name: Name to use to represent the font.
+    :type name: `str`_
+
+    .. pragma: skip-doctest If you can reliably test it, please do.
+    """
+    if not os.path.exists(path):
+        raise ValueError('Error -  The font path does not exists')
+    if os.path.isdir(path):
+        dir_files = []
+        files = []
+        if name == "":
+            subfiles = os.listdir(path)
+            for file in subfiles:
+                dir_files.append(os.path.join(path, file))
+        elif name == 'r':
+            for root, dirs, subfiles in os.walk(path):
+                for file in subfiles:
+                    dir_files.append(os.path.join(root, file))
+        for f in dir_files:
+            if f.lower()[-3:]in ['ttf', 'pfa', 'pfb']:
+                files.append([f, ""])
+    else:
+        files = [[path, name], ]
+
+    nms = []
+    for f in files:
+        fnm, name = f
+        i = max(vcs.elements["fontNumber"].keys()) + 1
+        if name == "":
+            name = ".".join(os.path.basename(fnm).split(".")[:-1])
+        vcs.elements["font"][name] = os.path.abspath(fnm)
+        vcs.elements["fontNumber"][i] = name
+        nms.append(name)
+    if len(nms) == 0:
+        raise vcsError('No font Loaded')
+    elif len(nms) > 1:
+        return nms
+    else:
+        return nms[0]
+
+def getfont(font):
+    """Get the font name/number associated with a font number/name
+
+    :Example:
+
+        .. doctest:: canvas_getfont
+
+            >>> font_names=[]
+            >>> for i in range(1,17):
+            ...     font_names.append(str(vcs.getfont(i))) # font_names is now filled with all font names
+            >>> font_names
+            ['default', ...]
+            >>> font_numbers = []
+            >>> for name in font_names:
+            ...     font_numbers.append(vcs.getfont(name)) # font_numbers is now filled with all font numbers
+            >>> font_numbers
+            [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]
+
+    :param font: The font name/number
+    :type font: `int`_ or `str`_
+
+    :returns: If font parameter was a string, will return the integer
+        associated with that string.
+        If font parameter was an integer, will return the string
+        associated with that integer.
+    :rtype: `int`_ or str
+    """
+    if isinstance(font, int):
+        return vcs.getfontname(font)
+    elif isinstance(font, str):
+        return vcs.getfontnumber(font)
+    else:
+        raise vcsError("Error you must pass a string or int")
+
+def switchfonts(font1, font2):
+    """Switch the font numbers of two fonts.
+
+    :Example:
+
+        .. doctest:: canvas_switchfonts
+
+            >>> a=vcs.init()
+            >>> maths1 = a.getfontnumber('Maths1') # store font number
+            >>> maths2 = a.getfontnumber('Maths2') # store font number
+            >>> a.switchfonts('Maths1','Maths2') # switch font numbers
+            >>> new_maths1 = a.getfontnumber('Maths1')
+            >>> new_maths2 = a.getfontnumber('Maths2')
+            >>> maths1 == new_maths2 and maths2 == new_maths1 # check
+            True
+
+    :param font1: The first font
+    :type font1: `int`_ or str
+
+    :param font2: The second font
+    :type font2: `int`_ or str
+    """
+    if isinstance(font1, str):
+        index1 = vcs.getfont(font1)
+    elif isinstance(font1, (int, float)):
+        index1 = int(font1)
+        vcs.getfont(index1)  # make sure font exists
+    else:
+        raise vcsError(
+            "Error you must pass either a number or font name!, you passed for font 1: %s" %
+            font1)
+    if isinstance(font2, str):
+        index2 = vcs.getfont(font2)
+    elif isinstance(font2, (int, float)):
+        index2 = int(font2)
+        vcs.getfont(index2)  # make sure font exists
+    else:
+        raise vcsError(
+            "Error you must pass either a number or font name!, you passed for font 2: %s" %
+            font2)
+    tmp = vcs.elements['fontNumber'][index1]
+    vcs.elements['fontNumber'][index1] = vcs.elements['fontNumber'][index2]
+    vcs.elements['fontNumber'][index2] = tmp
+
+def copyfontto(font1, font2):
+    """Copy 'font1' into 'font2'.
+
+    :param font1: Name/number of font to copy
+    :type font1: `str`_ or int
+
+    :param font2: Name/number of destination
+    :type font2: `str`_ or `int`_
+
+    .. attention::
+
+        This function does not currently work.
+        It will be added in the future.
+
+    .. pragma: skip-doctest REMOVE WHEN IT WORKS AGAIN!
+    """
+    if isinstance(font1, basestring):
+        index1 = self.getfont(font1)
+    elif isinstance(font1, (int, float)):
+        index1 = int(font1)
+        name1 = vcs.getfont(index1)  # make sure font exists
+    else:
+        raise vcsError(
+            "Error you must pass either a number or font name!, you passed for font 1: %s" %
+            font1)
+    if isinstance(font2, basestring):
+        index2 = self.getfont(font2)
+    elif isinstance(font2, (int, float)):
+        index2 = int(font2)
+        name2 = vcs.getfont(index2)  # make sure font exists
+    else:
+        raise vcsError(
+            "Error you must pass either a number or font name!, you passed for font 2: %s" %
+            font2)
+
+    if index2 == 1:
+        raise vcsError("You cannot copy into the default font")
+    vcs.elements["fontNumber"][index2] = name1
+
+def setdefaultfont(font):
+    """Sets the passed/def show font as the default font for vcs
+
+    :param font: Font name or index to use as default
+    :type font: `str`_ or `int`_
+
+    .. attention::
+
+        This function does not currently work.
+        It will be implemented in the future.
+
+    .. pragma: skip-doctest REMOVE WHEN IT WORKS AGAIN!
+    """
+    if isinstance(font, int):
+        font = vcs.getfontname(font)
+    elif isinstance(font, basestring):
+        vcs.getfont(font)  # Make sure it exists
+    else:
+        raise vcsError("You need to pass an int or an existing font name")
+    vcs.elements["font"]["default"] = vcs.elements["font"][font]
+