updated cheat sheet

Author: pybokeh

.Rhistory

@@ -0,0 +1,2 @@
+install.packages("choroplethr")
+q()

pandas/.ipynb_checkpoints/PandasCheatSheet-checkpoint.ipynb

@@ -2022,6 +2022,14 @@
       "[[back to top](#top)]"
      ]
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Filtering by label name: [[loc](#loc)]<br>\n",
+      "Filtering by index row and/or column: [[iloc](#iloc)]"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
@@ -2255,13 +2263,27 @@
      ],
      "prompt_number": 3
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "<a id='loc'></a>"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
       "### Slicing based on column labels/names using loc"
      ]
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "[[view df](#slicing)]"
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
@@ -2393,6 +2415,13 @@
      ],
      "prompt_number": 5
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "<a id='iloc'></a>"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
@@ -2404,7 +2433,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "[[view df](#df)]"
+      "[[view df](#slicing)]"
      ]
     },
     {

pandas/PandasCheatSheet.ipynb

@@ -2022,6 +2022,14 @@
       "[[back to top](#top)]"
      ]
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Filtering by label name: [[loc](#loc)]<br>\n",
+      "Filtering by index row and/or column: [[iloc](#iloc)]"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
@@ -2255,13 +2263,27 @@
      ],
      "prompt_number": 3
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "<a id='loc'></a>"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
       "### Slicing based on column labels/names using loc"
      ]
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "[[view df](#slicing)]"
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
@@ -2393,6 +2415,13 @@
      ],
      "prompt_number": 5
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "<a id='iloc'></a>"
+     ]
+    },
     {
      "cell_type": "markdown",
      "metadata": {},
@@ -2404,7 +2433,7 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
-      "[[view df](#df)]"
+      "[[view df](#slicing)]"
      ]
     },
     {