diff --git a/forgebox/__init__.py b/forgebox/__init__.py
index 92192ee..68cdeee 100644
--- a/forgebox/__init__.py
+++ b/forgebox/__init__.py
@@ -1 +1 @@
-__version__ = "1.0.4"
+__version__ = "1.0.5"
diff --git a/forgebox/filter_df.py b/forgebox/filter_df.py
index 8d33226..7c1c060 100644
--- a/forgebox/filter_df.py
+++ b/forgebox/filter_df.py
@@ -9,7 +9,7 @@
 from typing import List, Callable
 
 try:
-    display(HTML(''''''))
+    display
 except:
     display = print
 
diff --git a/forgebox/html.py b/forgebox/html.py
index 762ba8a..30b43a8 100644
--- a/forgebox/html.py
+++ b/forgebox/html.py
@@ -1,20 +1,12 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/04_html.ipynb (unless otherwise specified).
-
 import math
 from PIL.Image import Image as ImageClass
 import base64
 from io import BytesIO
-__all__ = ['display', 'DOM', 'image_to_base64', 'data_url',
-           'img_dom', 'deeper', 'list_group',
-           'col_sm', 'list_group_kv', 'JS',
-           'JS_file']
-
-# Cell
 from IPython.display import HTML
 from typing import Dict, Any
 
 try:
-    display(HTML(''''''))
+    display
 except:
     display = print
 
diff --git a/forgebox/widgets.py b/forgebox/widgets.py
index ae03065..46a53d8 100644
--- a/forgebox/widgets.py
+++ b/forgebox/widgets.py
@@ -1,9 +1,3 @@
-# AUTOGENERATED! DO NOT EDIT! File to edit: nbs/05_inter_widgets.ipynb (unless otherwise specified).
-
-__all__ = ['display_df', 'search_box', 'paginate', 'make_hboxes', 'SingleButton', 'Labeler', 'EditableList',
-           'EditableDict', 'total_width', 'LivingStep', 'StepByStep']
-
-# Cell
 import pandas as pd
 from .df import PandasDisplay
 from .html import list_group, list_group_kv
@@ -18,7 +12,7 @@
 import json
 
 try:
-    display(HTML(''''''))
+    display
 except:
     display = print
 
diff --git a/nbs/01_pandas_extra.ipynb b/nbs/01_pandas_extra.ipynb
index 168c6c3..93d03f4 100644
--- a/nbs/01_pandas_extra.ipynb
+++ b/nbs/01_pandas_extra.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -32,21 +32,10 @@
    "outputs": [],
    "source": [
     "from sklearn.datasets import california_housing\n",
-    "\n",
     "cdata = california_housing.fetch_california_housing()\n",
-    "\n",
     "df = pd.DataFrame(cdata[\"data\"], columns=cdata[\"feature_names\"])"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df[\"old\"] = df.HouseAge>20"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -56,7 +45,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -80,7 +69,7 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>old</th>\n",
+       "      <th>is_old</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -97,184 +86,89 @@
        "</div>"
       ],
       "text/plain": [
-       "         old\n",
-       "True   14347\n",
-       "False   6293"
+       "       is_old\n",
+       "True    14347\n",
+       "False    6293"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.vc(\"old\")"
+    "df[\"is_old\"] = df.HouseAge>20\n",
+    "df.vc(\"is_old\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Rename columns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>medinc</th>\n",
-       "      <th>houseage</th>\n",
-       "      <th>averooms</th>\n",
-       "      <th>avebedrms</th>\n",
-       "      <th>population</th>\n",
-       "      <th>aveoccup</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>old</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>8.3252</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>6.984127</td>\n",
-       "      <td>1.02381</td>\n",
-       "      <td>322.0</td>\n",
-       "      <td>2.555556</td>\n",
-       "      <td>37.88</td>\n",
-       "      <td>-122.23</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "   medinc  houseage  averooms  avebedrms  ...  aveoccup  latitude  longitude   old\n",
-       "0  8.3252      41.0  6.984127    1.02381  ...  2.555556     37.88    -122.23  True\n",
-       "\n",
-       "[1 rows x 9 columns]"
+       "Index(['MedInc', 'HouseAge', 'AveRooms', 'AveBedrms', 'Population', 'AveOccup',\n",
+       "       'Latitude', 'Longitude', 'old'],\n",
+       "      dtype='object')"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.rename_by_rule().head(1)"
+    "df.columns"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>old</th>\n",
-       "      <th>AveOccup</th>\n",
-       "      <th>MedInc</th>\n",
-       "      <th>HouseAge</th>\n",
-       "      <th>AveRooms</th>\n",
-       "      <th>AveBedrms</th>\n",
-       "      <th>Population</th>\n",
-       "      <th>Latitude</th>\n",
-       "      <th>Longitude</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>True</td>\n",
-       "      <td>2.555556</td>\n",
-       "      <td>8.3252</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>6.984127</td>\n",
-       "      <td>1.023810</td>\n",
-       "      <td>322.0</td>\n",
-       "      <td>37.88</td>\n",
-       "      <td>-122.23</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>True</td>\n",
-       "      <td>2.109842</td>\n",
-       "      <td>8.3014</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>6.238137</td>\n",
-       "      <td>0.971880</td>\n",
-       "      <td>2401.0</td>\n",
-       "      <td>37.86</td>\n",
-       "      <td>-122.22</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>True</td>\n",
-       "      <td>2.802260</td>\n",
-       "      <td>7.2574</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>8.288136</td>\n",
-       "      <td>1.073446</td>\n",
-       "      <td>496.0</td>\n",
-       "      <td>37.85</td>\n",
-       "      <td>-122.24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    old  AveOccup  MedInc  HouseAge  ...  AveBedrms  Population  Latitude  Longitude\n",
-       "0  True  2.555556  8.3252      41.0  ...   1.023810       322.0     37.88    -122.23\n",
-       "1  True  2.109842  8.3014      21.0  ...   0.971880      2401.0     37.86    -122.22\n",
-       "2  True  2.802260  7.2574      52.0  ...   1.073446       496.0     37.85    -122.24\n",
-       "\n",
-       "[3 rows x 9 columns]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['medinc', 'houseage', 'averooms', 'avebedrms', 'population', 'aveoccup', 'latitude', 'longitude']\n"
+     ]
     }
    ],
    "source": [
-    "df.column_order(\"old\",\"AveOccup\").head(3)"
+    "print(list(df.rename_by_rule().columns))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['is_old', 'AveOccup', 'MedInc', 'HouseAge', 'AveRooms', 'AveBedrms', 'Population', 'Latitude', 'Longitude']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(list(df.column_order(\"is_old\",\"AveOccup\").columns))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Paginate"
    ]
   },
   {
@@ -282,7 +176,9 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "df.paginate()"
+   ]
   }
  ],
  "metadata": {
diff --git a/nbs/06_flatten.ipynb b/nbs/06_flatten.ipynb
deleted file mode 100644
index 04bf542..0000000
--- a/nbs/06_flatten.ipynb
+++ /dev/null
@@ -1,142 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Flatten"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# default_exp flatten"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Flattening the tree structure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# export\n",
-    "\n",
-    "from typing import List, Callable, Any, Dict\n",
-    "class Flatten:\n",
-    "    \"\"\"\n",
-    "    Flatten a tree structure dictionary\n",
-    "    \"\"\"\n",
-    "    def __init__(\n",
-    "        self, data,\n",
-    "        key_callback: Callable = None,\n",
-    "        key_connection: str = \"_\",\n",
-    "        ):\n",
-    "        self.data = data\n",
-    "        self.key_callback = key_callback\n",
-    "        self.key_connection = key_connection\n",
-    "\n",
-    "    def flattening(\n",
-    "        self, data,\n",
-    "        result=None,\n",
-    "        upper_key=\"\"\n",
-    "        ) -> Dict[str, str]:\n",
-    "        \"\"\"\n",
-    "        Recursive flatten function\n",
-    "        \"\"\"\n",
-    "        if result is None:\n",
-    "            result = {}\n",
-    "        for key, value in data.items():\n",
-    "            if self.key_callback is not None:\n",
-    "                key = self.key_callback(key)\n",
-    "            if isinstance(value, dict):\n",
-    "                self.flattening(value, result,\n",
-    "                upper_key=f\"{key}{self.key_connection}\")\n",
-    "            else:\n",
-    "                result[f\"{upper_key}{key}\"] = value\n",
-    "        return result\n",
-    "\n",
-    "    def __call__(self) -> Dict[str, str]:\n",
-    "        return self.flattening(self.data)\n",
-    "    \n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Testing a tree structure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'a': [1, 2, {'c': 'd'}], 'b=>g': 1}"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "Flatten({\"a\":[1,2,{\"c\":\"d\"}],\"b\":{\"g\":1}}, key_connection=\"=>\")()"
-   ]
-  },
-  {
-   "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": "3.7.4"
-  },
-  "toc": {
-   "base_numbering": 1,
-   "nav_menu": {},
-   "number_sections": true,
-   "sideBar": true,
-   "skip_h1_title": false,
-   "title_cell": "Table of Contents",
-   "title_sidebar": "Contents",
-   "toc_cell": false,
-   "toc_position": {},
-   "toc_section_display": true,
-   "toc_window_display": false
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/nbs/31_df_filter.ipynb b/nbs/31_df_filter.ipynb
index edd5e7c..599d13b 100644
--- a/nbs/31_df_filter.ipynb
+++ b/nbs/31_df_filter.ipynb
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -26,7 +26,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9b80848c8fa145a8b1e0280678df5b6f",
+       "model_id": "6c12e150b8404043a90b4afcb9c92084",
        "version_major": 2,
        "version_minor": 0
       },
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {
     "code_folding": []
    },
@@ -59,167 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/salvor/anaconda3/lib/python3.7/site-packages/sklearn/feature_extraction/image.py:167: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
-      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
-      "  dtype=np.int):\n"
-     ]
-    }
-   ],
-   "source": [
-    "df = get_cal_housing()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>MedInc</th>\n",
-       "      <th>HouseAge</th>\n",
-       "      <th>AveRooms</th>\n",
-       "      <th>AveBedrms</th>\n",
-       "      <th>Population</th>\n",
-       "      <th>AveOccup</th>\n",
-       "      <th>Latitude</th>\n",
-       "      <th>Longitude</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>8.3252</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>6.984127</td>\n",
-       "      <td>1.023810</td>\n",
-       "      <td>322.0</td>\n",
-       "      <td>2.555556</td>\n",
-       "      <td>37.88</td>\n",
-       "      <td>-122.23</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>8.3014</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>6.238137</td>\n",
-       "      <td>0.971880</td>\n",
-       "      <td>2401.0</td>\n",
-       "      <td>2.109842</td>\n",
-       "      <td>37.86</td>\n",
-       "      <td>-122.22</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>7.2574</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>8.288136</td>\n",
-       "      <td>1.073446</td>\n",
-       "      <td>496.0</td>\n",
-       "      <td>2.802260</td>\n",
-       "      <td>37.85</td>\n",
-       "      <td>-122.24</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>5.6431</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>5.817352</td>\n",
-       "      <td>1.073059</td>\n",
-       "      <td>558.0</td>\n",
-       "      <td>2.547945</td>\n",
-       "      <td>37.85</td>\n",
-       "      <td>-122.25</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>3.8462</td>\n",
-       "      <td>52.0</td>\n",
-       "      <td>6.281853</td>\n",
-       "      <td>1.081081</td>\n",
-       "      <td>565.0</td>\n",
-       "      <td>2.181467</td>\n",
-       "      <td>37.85</td>\n",
-       "      <td>-122.25</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
-       "0  8.3252      41.0  6.984127   1.023810       322.0  2.555556     37.88   \n",
-       "1  8.3014      21.0  6.238137   0.971880      2401.0  2.109842     37.86   \n",
-       "2  7.2574      52.0  8.288136   1.073446       496.0  2.802260     37.85   \n",
-       "3  5.6431      52.0  5.817352   1.073059       558.0  2.547945     37.85   \n",
-       "4  3.8462      52.0  6.281853   1.081081       565.0  2.181467     37.85   \n",
-       "\n",
-       "   Longitude  \n",
-       "0    -122.23  \n",
-       "1    -122.22  \n",
-       "2    -122.24  \n",
-       "3    -122.25  \n",
-       "4    -122.25  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(False, True)"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "\"32.8%\">\"35.2%\", \"32.8%\">\"15.2%\""
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -265,17 +105,6 @@
        "      <td>37.88</td>\n",
        "      <td>-122.23</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>8.3014</td>\n",
-       "      <td>21.0</td>\n",
-       "      <td>6.238137</td>\n",
-       "      <td>0.97188</td>\n",
-       "      <td>2401.0</td>\n",
-       "      <td>2.109842</td>\n",
-       "      <td>37.86</td>\n",
-       "      <td>-122.22</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -283,20 +112,19 @@
       "text/plain": [
        "   MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
        "0  8.3252      41.0  6.984127    1.02381       322.0  2.555556     37.88   \n",
-       "1  8.3014      21.0  6.238137    0.97188      2401.0  2.109842     37.86   \n",
        "\n",
        "   Longitude  \n",
-       "0    -122.23  \n",
-       "1    -122.22  "
+       "0    -122.23  "
       ]
      },
-     "execution_count": 6,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "df.head(2)"
+    "df = get_cal_housing()\n",
+    "df.head(1)"
    ]
   },
   {
@@ -360,71 +188,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>MedInc</th>\n",
-       "      <th>HouseAge</th>\n",
-       "      <th>AveRooms</th>\n",
-       "      <th>AveBedrms</th>\n",
-       "      <th>Population</th>\n",
-       "      <th>AveOccup</th>\n",
-       "      <th>Latitude</th>\n",
-       "      <th>Longitude</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>8.3252</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>6.984127</td>\n",
-       "      <td>1.02381</td>\n",
-       "      <td>322.0</td>\n",
-       "      <td>2.555556</td>\n",
-       "      <td>37.88</td>\n",
-       "      <td>-122.23</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
-       "0  8.3252      41.0  6.984127    1.02381       322.0  2.555556     37.88   \n",
-       "\n",
-       "   Longitude  \n",
-       "0    -122.23  "
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "data_filter.df.head(1)"
+    "data_filter.df"
    ]
   },
   {
diff --git a/settings.ini b/settings.ini
index b49c171..1b7dd74 100644
--- a/settings.ini
+++ b/settings.ini
@@ -7,7 +7,7 @@ author = xiaochen(ray) zhang
 author_email = b2ray2c@gmail.com
 copyright = xiaochen(ray) zhang
 branch = master
-version = 1.0.4
+version = 1.0.5
 min_python = 3.6
 host = github
 audience = Developers