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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "# This is a test\n",
  8. "Nothing More, Nothing Less"
  9. ]
  10. },
  11. {
  12. "cell_type": "code",
  13. "execution_count": 1,
  14. "metadata": {},
  15. "outputs": [
  16. {
  17. "data": {
  18. "text/html": [
  19. "<div>\n",
  20. "<style scoped>\n",
  21. " .dataframe tbody tr th:only-of-type {\n",
  22. " vertical-align: middle;\n",
  23. " }\n",
  24. "\n",
  25. " .dataframe tbody tr th {\n",
  26. " vertical-align: top;\n",
  27. " }\n",
  28. "\n",
  29. " .dataframe thead th {\n",
  30. " text-align: right;\n",
  31. " }\n",
  32. "</style>\n",
  33. "<table border=\"1\" class=\"dataframe\">\n",
  34. " <thead>\n",
  35. " <tr style=\"text-align: right;\">\n",
  36. " <th></th>\n",
  37. " <th>0</th>\n",
  38. " <th>1</th>\n",
  39. " <th>2</th>\n",
  40. " <th>3</th>\n",
  41. " <th>4</th>\n",
  42. " </tr>\n",
  43. " </thead>\n",
  44. " <tbody>\n",
  45. " <tr>\n",
  46. " <th>0</th>\n",
  47. " <td>1.091180</td>\n",
  48. " <td>1.586268</td>\n",
  49. " <td>-1.679271</td>\n",
  50. " <td>1.991351</td>\n",
  51. " <td>-0.577286</td>\n",
  52. " </tr>\n",
  53. " <tr>\n",
  54. " <th>1</th>\n",
  55. " <td>-0.760719</td>\n",
  56. " <td>1.038214</td>\n",
  57. " <td>0.699479</td>\n",
  58. " <td>-1.661098</td>\n",
  59. " <td>-0.407320</td>\n",
  60. " </tr>\n",
  61. " <tr>\n",
  62. " <th>2</th>\n",
  63. " <td>-1.050024</td>\n",
  64. " <td>-0.491077</td>\n",
  65. " <td>0.245705</td>\n",
  66. " <td>-0.912236</td>\n",
  67. " <td>0.741287</td>\n",
  68. " </tr>\n",
  69. " <tr>\n",
  70. " <th>3</th>\n",
  71. " <td>-1.339908</td>\n",
  72. " <td>-0.963553</td>\n",
  73. " <td>1.068211</td>\n",
  74. " <td>1.747386</td>\n",
  75. " <td>-0.541021</td>\n",
  76. " </tr>\n",
  77. " <tr>\n",
  78. " <th>4</th>\n",
  79. " <td>-1.594422</td>\n",
  80. " <td>-1.296469</td>\n",
  81. " <td>1.446290</td>\n",
  82. " <td>0.276679</td>\n",
  83. " <td>0.841014</td>\n",
  84. " </tr>\n",
  85. " <tr>\n",
  86. " <th>5</th>\n",
  87. " <td>-1.007084</td>\n",
  88. " <td>0.374200</td>\n",
  89. " <td>-0.464295</td>\n",
  90. " <td>0.239053</td>\n",
  91. " <td>-0.386836</td>\n",
  92. " </tr>\n",
  93. " <tr>\n",
  94. " <th>6</th>\n",
  95. " <td>-1.624214</td>\n",
  96. " <td>0.051386</td>\n",
  97. " <td>-1.077795</td>\n",
  98. " <td>-0.963137</td>\n",
  99. " <td>0.764801</td>\n",
  100. " </tr>\n",
  101. " <tr>\n",
  102. " <th>7</th>\n",
  103. " <td>1.087813</td>\n",
  104. " <td>0.742651</td>\n",
  105. " <td>-0.702877</td>\n",
  106. " <td>-0.567262</td>\n",
  107. " <td>0.846237</td>\n",
  108. " </tr>\n",
  109. " <tr>\n",
  110. " <th>8</th>\n",
  111. " <td>-0.970702</td>\n",
  112. " <td>1.064849</td>\n",
  113. " <td>-1.179006</td>\n",
  114. " <td>-0.308069</td>\n",
  115. " <td>0.974921</td>\n",
  116. " </tr>\n",
  117. " <tr>\n",
  118. " <th>9</th>\n",
  119. " <td>0.600224</td>\n",
  120. " <td>-0.206772</td>\n",
  121. " <td>-0.080402</td>\n",
  122. " <td>0.807583</td>\n",
  123. " <td>0.626393</td>\n",
  124. " </tr>\n",
  125. " </tbody>\n",
  126. "</table>\n",
  127. "</div>"
  128. ],
  129. "text/plain": [
  130. " 0 1 2 3 4\n",
  131. "0 1.091180 1.586268 -1.679271 1.991351 -0.577286\n",
  132. "1 -0.760719 1.038214 0.699479 -1.661098 -0.407320\n",
  133. "2 -1.050024 -0.491077 0.245705 -0.912236 0.741287\n",
  134. "3 -1.339908 -0.963553 1.068211 1.747386 -0.541021\n",
  135. "4 -1.594422 -1.296469 1.446290 0.276679 0.841014\n",
  136. "5 -1.007084 0.374200 -0.464295 0.239053 -0.386836\n",
  137. "6 -1.624214 0.051386 -1.077795 -0.963137 0.764801\n",
  138. "7 1.087813 0.742651 -0.702877 -0.567262 0.846237\n",
  139. "8 -0.970702 1.064849 -1.179006 -0.308069 0.974921\n",
  140. "9 0.600224 -0.206772 -0.080402 0.807583 0.626393"
  141. ]
  142. },
  143. "execution_count": 1,
  144. "metadata": {},
  145. "output_type": "execute_result"
  146. }
  147. ],
  148. "source": [
  149. "import pandas as pd\n",
  150. "import numpy as np\n",
  151. "\n",
  152. "df = pd.DataFrame(np.random.randn(10, 5))\n",
  153. "df"
  154. ]
  155. }
  156. ],
  157. "metadata": {
  158. "kernelspec": {
  159. "display_name": "Python 3",
  160. "language": "python",
  161. "name": "python3"
  162. },
  163. "language_info": {
  164. "codemirror_mode": {
  165. "name": "ipython",
  166. "version": 3
  167. },
  168. "file_extension": ".py",
  169. "mimetype": "text/x-python",
  170. "name": "python",
  171. "nbconvert_exporter": "python",
  172. "pygments_lexer": "ipython3",
  173. "version": "3.7.3"
  174. }
  175. },
  176. "nbformat": 4,
  177. "nbformat_minor": 2
  178. }
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