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- {
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# This is a test\n",
- "Nothing More, Nothing Less"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "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",
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- "\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>0</th>\n",
- " <th>1</th>\n",
- " <th>2</th>\n",
- " <th>3</th>\n",
- " <th>4</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1.091180</td>\n",
- " <td>1.586268</td>\n",
- " <td>-1.679271</td>\n",
- " <td>1.991351</td>\n",
- " <td>-0.577286</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>-0.760719</td>\n",
- " <td>1.038214</td>\n",
- " <td>0.699479</td>\n",
- " <td>-1.661098</td>\n",
- " <td>-0.407320</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>-1.050024</td>\n",
- " <td>-0.491077</td>\n",
- " <td>0.245705</td>\n",
- " <td>-0.912236</td>\n",
- " <td>0.741287</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>-1.339908</td>\n",
- " <td>-0.963553</td>\n",
- " <td>1.068211</td>\n",
- " <td>1.747386</td>\n",
- " <td>-0.541021</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>-1.594422</td>\n",
- " <td>-1.296469</td>\n",
- " <td>1.446290</td>\n",
- " <td>0.276679</td>\n",
- " <td>0.841014</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>-1.007084</td>\n",
- " <td>0.374200</td>\n",
- " <td>-0.464295</td>\n",
- " <td>0.239053</td>\n",
- " <td>-0.386836</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>-1.624214</td>\n",
- " <td>0.051386</td>\n",
- " <td>-1.077795</td>\n",
- " <td>-0.963137</td>\n",
- " <td>0.764801</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>1.087813</td>\n",
- " <td>0.742651</td>\n",
- " <td>-0.702877</td>\n",
- " <td>-0.567262</td>\n",
- " <td>0.846237</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>-0.970702</td>\n",
- " <td>1.064849</td>\n",
- " <td>-1.179006</td>\n",
- " <td>-0.308069</td>\n",
- " <td>0.974921</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>0.600224</td>\n",
- " <td>-0.206772</td>\n",
- " <td>-0.080402</td>\n",
- " <td>0.807583</td>\n",
- " <td>0.626393</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " 0 1 2 3 4\n",
- "0 1.091180 1.586268 -1.679271 1.991351 -0.577286\n",
- "1 -0.760719 1.038214 0.699479 -1.661098 -0.407320\n",
- "2 -1.050024 -0.491077 0.245705 -0.912236 0.741287\n",
- "3 -1.339908 -0.963553 1.068211 1.747386 -0.541021\n",
- "4 -1.594422 -1.296469 1.446290 0.276679 0.841014\n",
- "5 -1.007084 0.374200 -0.464295 0.239053 -0.386836\n",
- "6 -1.624214 0.051386 -1.077795 -0.963137 0.764801\n",
- "7 1.087813 0.742651 -0.702877 -0.567262 0.846237\n",
- "8 -0.970702 1.064849 -1.179006 -0.308069 0.974921\n",
- "9 0.600224 -0.206772 -0.080402 0.807583 0.626393"
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import pandas as pd\n",
- "import numpy as np\n",
- "\n",
- "df = pd.DataFrame(np.random.randn(10, 5))\n",
- "df"
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
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- "codemirror_mode": {
- "name": "ipython",
- "version": 3
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- "pygments_lexer": "ipython3",
- "version": "3.7.3"
- }
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- "nbformat": 4,
- "nbformat_minor": 2
- }
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