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69 lines
1.2 KiB
69 lines
1.2 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "1ab068f7",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"df = pd.read_csv(\"/tmp/jl_depmrX\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "e64d7608",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"0 True\n",
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"1 True\n",
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"2 True\n",
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"Name: mip_sense, dtype: bool"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df[\"mip_sense\"] == \"min\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b204b538",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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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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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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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": "3.7.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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