pandas: imports

Author: rlanzafame

book/pandas/attributes.ipynb

@@ -36,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": null,
    "metadata": {
     "collapsed": true,
     "nbgrader": {
@@ -178,6 +178,8 @@
     }
    ],
    "source": [
+    "import pandas as pd\n",
+    "\n",
     "file_location = (\"mineral_properties.txt\")\n",
     "df4 = pd.read_csv(file_location, sep=',', header=[1],\n",
     "                  skiprows=None, index_col=0)\n",

book/pandas/frame.ipynb

@@ -39,7 +39,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "metadata": {
     "collapsed": true,
     "nbgrader": {
@@ -53,6 +53,8 @@
    },
    "outputs": [],
    "source": [
+    "import pandas as pd\n",
+    "\n",
     "row_1 = pd.Series(['Garnet', 7.0,   'Fracture', 3.9  ])\n",
     "row_2 = pd.Series(['Graphite', 1.5, 'One', 2.3 ])\n",
     "row_3 = pd.Series(['Kyanite', 6,    'One', 4.01   ])\n",

book/pandas/nutshell/frame.ipynb

@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -83,6 +83,8 @@
     }
    ],
    "source": [
+    "import pandas as pd\n",
+    "\n",
     "data2 = {'Name': ['John', 'Alice', 'Bob'],\n",
     "    'Age': [25, 28, 22],\n",
     "    'City': ['London', 'Paris', 'Berlin']}\n",

book/pandas/statistics.ipynb

@@ -40,6 +40,12 @@
     }
    ],
    "source": [
+    "import pandas as pd\n",
+    "file_location = (\"mineral_properties.txt\")\n",
+    "df4 = pd.read_csv(file_location + 'mineral_properties.txt',sep=',',header=[1], \n",
+    "                  skiprows=None, index_col=0, skipinitialspace=True)\n",
+    "                  \n",
+    "\n",
     "df4['hardness'].mean()"
    ]
   },