70 lines
1.8 KiB
Plaintext
70 lines
1.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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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_clipboard()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"得到每个SKU的最长边，围长，总重量，6000抛重，采购体积比（采购/6000抛重）"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import re\n",
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"from utils import Package,Package_group\n",
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"def extract_number(value):\n",
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" # 提取字符串中的第一个数字\n",
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" match = re.search(r\"[-+]?\\d*\\.\\d+|\\d+\", str(value))\n",
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" return float(match.group()) if match else 0.0\n",
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"for index, row in df.iterrows():\n",
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" package_dict = json.loads(row['erp_package_vol'])\n",
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" max_length = 0 # 最长边\n",
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" max_girth = 0 # 最大围长\n",
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" all_weight = 0 # 总重量\n",
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" all_vol_weight = 0 # 总抛重\n",
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" for key, package in package_dict.items():\n",
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" package['长'] = extract_number(package['长'])\n",
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" package['宽'] = extract_number(package['宽'])\n",
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" package['高'] = extract_number(package['高'])\n",
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" package['重量'] = extract_number(package['重量'])\n",
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" "
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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": "base",
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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": "3.11.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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