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Create fruitchecker.ipynb
Browse files- fruitchecker.ipynb +63 -0
fruitchecker.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "parameters-cell",
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"metadata": {
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"tags": ["parameters"]
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},
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"outputs": [],
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"source": [
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"fruits = [] # This will be overridden by Papermill"
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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": "price-lookup",
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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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"\n",
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"# Example fruit price dictionary\n",
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"fruit_prices = {\n",
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" 'apple': 1.2,\n",
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" 'banana': 0.5,\n",
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" 'orange': 0.8,\n",
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" 'grape': 2.5,\n",
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" 'mango': 1.8\n",
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"}\n",
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"\n",
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"# Look up prices\n",
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"prices = [(fruit, fruit_prices.get(fruit, 'N/A')) for fruit in fruits]\n",
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"df = pd.DataFrame(prices, columns=['Fruit', 'Price'])\n",
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"\n",
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"# Convert to CSV (string, not file)\n",
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"csv_output = df.to_csv(index=False)\n"
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]
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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": "3.8.10"
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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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