matplotlib example house price index india (snippet)

Python matplotlib example 'house price index india'

python house price index india

Python matplotlib example: house price index india

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   "source": [
    "# Housing price index of india for 06-2011 to 09-2013 "
   ]
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    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "df = pd.DataFrame.from_csv('./housing_price_index_2010-11_100.csv')\n",
    "#print(df)\n",
    "df_transposed = df.T\n",
    "df_transposed.plot(kind='bar')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# % Change chart for Housing price index of india for 06-2011 to 09-2013 (%change from the last reported value)"
   ]
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    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "plt.style.use('fivethirtyeight')\n",
    "df = pd.DataFrame.from_csv('./housing_price_index_2010-11_100.csv')\n",
    "df_transposed = df.T\n",
    "df_transposed=df_transposed.pct_change()\n",
    "# print(df_transposed)\n",
    "df_transposed.plot(kind='bar')\n",
    "plt.legend(loc='upper center', bbox_to_anchor=(0.5,1.15),ncol=3,shadow=True)\n",
    "mng = plt.get_current_fig_manager()\n",
    "#mng.frame.Maximize(True)\n",
    "mng.window.state('zoomed')\n",
    "plt.show()\n",
    "#matplotlib.get_backend()\n",
    "\n"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "# Traditional % Change chart for Housing price index of india for 06-2011 to 09-2013 "
   ]
  },
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    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "plt.style.use('fivethirtyeight')\n",
    "df = pd.DataFrame.from_csv('./housing_price_index_2010-11_100.csv')\n",
    "df_transposed = df.T\n",
    "df_transposed = df_transposed.drop('All India', 1)\n",
    "# df_transposed.rename(columns={'All India':'All_india'},inplace=True)\n",
    "print(df_transposed)\n",
    "# print(df_transposed.ix[:,0])\n",
    "\n",
    "for column in df_transposed:\n",
    "    df_transposed[column] =(df_transposed[column] - df_transposed[column][0]) / df_transposed[column][0] * 100 \n",
    "   \n",
    "df_transposed.plot()\n",
    "plt.legend(loc='upper center',fancybox=True, bbox_to_anchor=(0.5,1.15),ncol=3,shadow=True)\n",
    "mng = plt.get_current_fig_manager()\n",
    "mng.window.state('zoomed')\n",
    "plt.show()\n",
    "#matplotlib.get_backend()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Traditional percentage chart with Benchmarking( with All india )"
   ]
  },
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   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "import numpy as np\n",
    "plt.style.use('fivethirtyeight')\n",
    "df = pd.DataFrame.from_csv('./housing_price_index_2010-11_100.csv')\n",
    "df_transposed = df.T\n",
    "ax1 = plt.subplot2grid((1,1), (0,0))\n",
    "df_transposed.rename(columns={'All India':'All_india'},inplace=True)\n",
    "for column in df_transposed:\n",
    "    df_transposed[column] =(df_transposed[column] - df_transposed[column][0]) / df_transposed[column][0] * 100 \n",
    "    \n",
    "df_transposed.plot(ax=ax1)\n",
    "df_transposed['All_india'].plot(ax=ax1,color='k',linewidth=10)\n",
    "# barlist[0].set_color('k')\n",
    "\n",
    "plt.legend(loc='upper center',fancybox=True, bbox_to_anchor=(0.5,1.15),ncol=3,shadow=True)\n",
    "mng = plt.get_current_fig_manager()\n",
    "mng.window.state('zoomed')\n",
    "plt.show()\n",
    "\n",
    "\n"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "# correlation table and other statitics"
   ]
  },
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   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "ax1 = plt.subplot2grid((1,1), (0,0))\n",
    "df = pd.DataFrame.from_csv('./housing_price_index_2010-11_100.csv')\n",
    "#print(df)\n",
    "df_transposed = df.T\n",
    "print(df_transposed.corr())\n",
    "print(df_transposed.corr().describe())\n",
    "df_transposed.plot(kind='bar',ax=ax1)\n",
    "mng = plt.get_current_fig_manager()\n",
    "mng.window.state('zoomed')\n",
    "plt.show()"
   ]
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