ipysheet_02.ipynb

{
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   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-15T15:57:36.981788Z",
     "start_time": "2019-07-15T15:57:36.966274Z"
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   },
   "outputs": [
    {
     "data": {
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       "<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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>One</th>\n",
       "      <th>Two</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10</td>\n",
       "      <td>101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>30</td>\n",
       "      <td>303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>40</td>\n",
       "      <td>404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>50</td>\n",
       "      <td>505</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   One  Two\n",
       "0   10  101\n",
       "1   20  202\n",
       "2   30  303\n",
       "3   40  404\n",
       "4   50  505"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import ipysheet\n",
    "import ipywidgets as ipyw\n",
    "from IPython.core.display import HTML, display\n",
    "\n",
    "tmp = pd.DataFrame({\"One\": [10, 20, 30, 40, 50], \"Two\": [101, 202, 303, 404, 505]})\n",
    "tmp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-15T15:45:04.613327Z",
     "start_time": "2019-07-15T15:45:04.591787Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'rows'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m-----------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-137d4e399405>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0msheet\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mipysheet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_dataframe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtmp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0mcol0\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mipysheet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m5\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0msheet\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/chem/lib/python3.7/site-packages/ipysheet/easy.py\u001b[0m in \u001b[0;36mcolumn\u001b[0;34m(column, value, row_start, row_end, type, color, background_color, font_style, font_weight, style, choice, read_only, numeric_format, date_format, renderer, **kwargs)\u001b[0m\n\u001b[1;32m    212\u001b[0m                       \u001b[0mread_only\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mread_only\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnumeric_format\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnumeric_format\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdate_format\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdate_format\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrenderer\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrenderer\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    213\u001b[0m                       \u001b[0mcolor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcolor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbackground_color\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbackground_color\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 214\u001b[0;31m                       font_style=font_style, font_weight=font_weight, **kwargs)\n\u001b[0m\u001b[1;32m    215\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    216\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/chem/lib/python3.7/site-packages/ipysheet/easy.py\u001b[0m in \u001b[0;36mcell_range\u001b[0;34m(value, row_start, column_start, row_end, column_end, transpose, squeeze_row, squeeze_column, type, color, background_color, font_style, font_weight, style, choice, read_only, numeric_format, date_format, renderer, **kwargs)\u001b[0m\n\u001b[1;32m    271\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mcolumn_length\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrow\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    272\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"not a regular matrix, columns lengths differ\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 273\u001b[0;31m     \u001b[0;32mif\u001b[0m \u001b[0mrow_start\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mrow_length\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0m_last_sheet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrows\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    274\u001b[0m         \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"array will go outside of sheet, too many rows\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    275\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcolumn_start\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mcolumn_length\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0m_last_sheet\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'rows'"
     ]
    }
   ],
   "source": [
    "sheet = ipysheet.from_dataframe(tmp)\n",
    "\n",
    "col0 = ipysheet.column(0, [1] * 5)\n",
    "\n",
    "sheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-15T15:49:35.584477Z",
     "start_time": "2019-07-15T15:49:35.562839Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6f55a7a8297a4498be092dde26c3def9",
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       "version_minor": 0
      },
      "text/plain": [
       "Sheet(cells=(Cell(column_end=0, column_start=0, row_end=4, row_start=0, squeeze_row=False, type='numeric', val…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sheet = ipysheet.sheet ()\n",
    "\n",
    "col0 = ipysheet.column(0, [1] * 5)\n",
    "\n",
    "sheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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 ],
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