added pandas

Author: root

.ipynb_checkpoints/13_pandas-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

.ipynb_checkpoints/twelve-checkpoint.ipynb

@@ -0,0 +1,135 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#series-1D\n",
+    "\n",
+    "s=pd.Series([1.0,2,3,4],['a','b','c','e'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0    1.0\n",
+      "1    2.0\n",
+      "2    3.0\n",
+      "3    4.0\n",
+      "4    5.0\n",
+      "5    6.0\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(s)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#dataframes-2D\n",
+    "#pd.DataFrame(data,index,column,datatype)\n",
+    "df=pd.DataFrame([[1,2],[3,4],[5,6]],index=['x','y','z'],columns=['a','b'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   a  b\n",
+      "x  1  2\n",
+      "y  3  4\n",
+      "z  5  6\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df=pd.DataFrame({'a':[1,2,3],'b':[2,3,4],'c':[3,4,5]},index=[1,2,3])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   a  b  c\n",
+      "1  1  2  3\n",
+      "2  2  3  4\n",
+      "3  3  4  5\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}