Run notebooks with updates and custom kernel
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8e72ec726c
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6 changed files with 189 additions and 163 deletions
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@ -1480,7 +1480,7 @@
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"for column, mapping_info in LABEL_COLUMNS.items():\n",
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" # Note that .unique() returns a numpy array with integer dtype in cases\n",
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" # where the provided data can be casted as such (e.g., \"Overall Qual\" column).\n",
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" values_in_data = set(str(x) for x in df[column].unique() if x is not np.NaN)\n",
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" values_in_data = set(str(x) for x in df[column].unique() if x is not np.nan)\n",
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" values_in_description = set(mapping_info[\"lookups\"].keys())\n",
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" assert values_in_data <= values_in_description"
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]
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@ -1877,7 +1877,7 @@
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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"MultiIndex: 2930 entries, (1, 526301100) to (2930, 924151050)\n",
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"MultiIndex: 2930 entries, (np.int64(1), np.int64(526301100)) to (np.int64(2930), np.int64(924151050))\n",
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"Data columns (total 19 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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@ -2208,7 +2208,7 @@
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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"MultiIndex: 2930 entries, (1, 526301100) to (2930, 924151050)\n",
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"MultiIndex: 2930 entries, (np.int64(1), np.int64(526301100)) to (np.int64(2930), np.int64(924151050))\n",
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"Data columns (total 14 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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@ -2765,7 +2765,7 @@
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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"MultiIndex: 2930 entries, (1, 526301100) to (2930, 924151050)\n",
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"MultiIndex: 2930 entries, (np.int64(1), np.int64(526301100)) to (np.int64(2930), np.int64(924151050))\n",
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"Data columns (total 23 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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@ -3320,7 +3320,7 @@
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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"MultiIndex: 2930 entries, (1, 526301100) to (2930, 924151050)\n",
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"MultiIndex: 2930 entries, (np.int64(1), np.int64(526301100)) to (np.int64(2930), np.int64(924151050))\n",
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"Data columns (total 23 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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@ -3382,9 +3382,7 @@
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"<Figure size 1800x720 with 2 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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@ -3404,9 +3402,7 @@
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"<Figure size 1800x720 with 2 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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@ -3426,9 +3422,7 @@
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"<Figure size 1800x720 with 2 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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@ -3448,9 +3442,7 @@
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"<Figure size 1800x720 with 2 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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@ -4331,9 +4323,9 @@
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "ames-housing",
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"language": "python",
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"name": "python3"
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"name": "ames-housing"
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},
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"language_info": {
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"codemirror_mode": {
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@ -4345,7 +4337,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.5"
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"version": "3.12.4"
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}
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},
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"nbformat": 4,
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