added tips and tricks section

Author: rasbt

.gitignore

@@ -1,4 +1,5 @@
 .ipynb_checkpoints/
+ipynb/ipynb_checkpoints/
 
 # Byte-compiled / optimized / DLL files
 __pycache__/

README.md

@@ -21,7 +21,8 @@ This project is not connected to the gallery on [http://matplotlib.org/gallery.h
 - [Preparing Plots for Publication](#preparing-plots-for-publication)
 - [Scatter plots](#scatter-plots)
 - [Special plots](#special-plots)
-- [Clustering - Heatmaps and Dendrograms](#Clustering---Heatmaps-and-Dendrograms)
+- [Clustering - Heatmaps and Dendrograms](#clustering---heatmaps-and-dendrograms)
+- [Tips and Tricks](#tips-and-tricks)
 
 <br>
 <br>
@@ -292,3 +293,19 @@ Or even better: It would be great if you would simply fork this project and send
 <br>
 <br>
 <br>
+
+
+
+## [Tips and Tricks](http://nbviewer.ipython.org/github/rasbt/pattern_classification/blob/master/clustering/hierarchical/tricks.ipynb)
+
+[[back to top](https://github.com/rasbt/matplotlib-gallery#matplotlib-gallery)]
+
+<br>
+<br>
+
+
+
+<br>
+<br>
+<br>
+<br>

ipynb/tricks.ipynb

@@ -31,13 +31,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: 26/08/2014 \n",
+      "Last updated: 07/30/2015 \n",
       "\n",
-      "CPython 3.4.1\n",
-      "IPython 2.1.0\n",
+      "CPython 3.4.3\n",
+      "IPython 3.2.0\n",
       "\n",
-      "matplotlib 1.4.0\n",
-      "numpy 1.8.2\n"
+      "matplotlib 1.4.3\n",
+      "numpy 1.9.2\n"
      ]
     }
    ],
@@ -89,17 +89,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "- [Simple Boxplot](#Simple-Boxplot)\n",
-    "\n",
-    "- [Black and white Boxplot](#Black-and-white-Boxplot)\n",
-    "\n",
-    "- [Horizontal Boxplot](#Horizontal-Boxplot)\n",
-    "\n",
-    "- [Filled and cylindrical boxplots](#Filled-and-cylindrical-boxplots)\n",
-    "\n",
-    "- [Boxplots with custom fill colors](#Boxplots-with-custom-fill-colors)\n",
-    "\n",
-    "- [Violin plots](#Violin-plots)"
+    "- [When to use the figure object](#When-to-use-the-figure-object)"
    ]
   },
   {
@@ -126,24 +116,87 @@
     "<br>"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# When to use the figure object"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
+   "source": [
+    "[[back to top](#Sections)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Often, we see code that explicitely instantiates a new `figure` object:"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {
-    "collapsed": true
+    "collapsed": false
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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1iIhPDNfg2Yh4PCKuXcY8F6HM98Vw3O6IuBARH1vk/Bal5M9HLyKORsTPI6K/4CkuTImf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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1065dba58>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# When to "
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "fig = plt.figure()\n",
+    "\n",
+    "plt.plot([0, 1], [0, 1])\n",
+    "plt.show()"
    ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If we are not planning to manipulate the figure object or add subplots to the figure, this may be redundant. Why? \n",
+    "As nicely explained on [SO](http://stackoverflow.com/questions/31729220/when-is-matplotlibs-pyplot-figure-redundant/31730499#31730499), the `plot` function retrieves the current figure automatically via `gcf` (\"get current figure\") nested inside a `gca` (\"get current axes\") call. Thus, it really doesn't matter if we create a figure prior to `plot` unless we are planning to modify it in some way."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x104f52940>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "[[back to top](#Sections)]"
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.plot([0, 1], [0, 1])\n",
+    "plt.show()"
    ]
   },
   {