127 lines
4.1 KiB
Plaintext
127 lines
4.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"id": "initial_id",
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"metadata": {
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"collapsed": true,
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"ExecuteTime": {
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"end_time": "2026-01-30T09:27:59.557746200Z",
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"start_time": "2026-01-30T09:27:59.437881100Z"
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}
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},
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"source": [
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"import pandas as pd\n",
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"\n",
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"# 假设你的 DataFrame 名为 df，包含以下列：\n",
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"# 'material_code': 材料编码\n",
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"# 'in_qty': 入库数量\n",
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"# 'in_cost': 入库成本（总金额，不是单价）\n",
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"df = pd.read_excel(fr\"C:\\Users\\hp_z66\\OneDrive\\Desktop\\材料成本明细表核对.xlsx\",sheet_name='Sheet1')\n",
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"# 1. 按材料编码分组，计算总入库数量和总入库成本\n",
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"summary = df.groupby('材料编码').agg(\n",
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" total_in_qty=('数量', 'sum'),\n",
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" total_in_cost=(' 除税成本', 'sum')\n",
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").reset_index()\n",
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"\n",
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"print(summary)\n",
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"summary.to_csv(fr\"C:\\Users\\hp_z66\\OneDrive\\Desktop\\材料成本明细表核对sheet1.csv\")"
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],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" 材料编码 total_in_qty total_in_cost\n",
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"0 CL0003899 8 184.07\n",
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"1 CL0004029 300 92.92\n",
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"2 CL0004193 100 176.99\n",
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"3 CL0005552 -1 -4250.04\n",
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"4 CL0005554 2 2268.78\n",
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".. ... ... ...\n",
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"461 CL0007466 1 800.00\n",
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"462 CL0007467 1 800.00\n",
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"463 CL0007468 1 500.00\n",
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"464 CL0007469 1 500.00\n",
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"465 CL0007470 1 500.00\n",
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"\n",
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"[466 rows x 3 columns]\n"
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]
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}
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],
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"execution_count": 3
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2026-01-30T09:28:27.291489100Z",
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"start_time": "2026-01-30T09:28:27.188359600Z"
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}
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},
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"cell_type": "code",
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"source": [
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"import pandas as pd\n",
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"\n",
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"# 假设你的 DataFrame 名为 df，包含以下列：\n",
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"# 'material_code': 材料编码\n",
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"# 'in_qty': 入库数量\n",
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"# 'in_cost': 入库成本（总金额，不是单价）\n",
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"df = pd.read_excel(fr\"C:\\Users\\hp_z66\\OneDrive\\Desktop\\材料成本明细表核对.xlsx\",sheet_name='Sheet2')\n",
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"# 1. 按材料编码分组，计算总入库数量和总入库成本\n",
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"summary = df.groupby('材料编码').agg(\n",
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" total_in_qty=('采购入库数量', 'sum'),\n",
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" total_in_cost=('采购入库成本（除税）', 'sum')\n",
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").reset_index()\n",
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"\n",
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"print(summary)\n",
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"summary.to_csv(fr\"C:\\Users\\hp_z66\\OneDrive\\Desktop\\材料成本明细表核对sheet2.csv\")"
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],
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"id": "fcb775d7ed25bd85",
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" 材料编码 total_in_qty total_in_cost\n",
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"0 CL0003899 8 184.070800\n",
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"1 CL0004029 300 92.920500\n",
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"2 CL0004193 100 176.991200\n",
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"3 CL0005552 -1 -4250.044248\n",
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"4 CL0005554 2 2268.778762\n",
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".. ... ... ...\n",
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"459 CL0007466 1 800.000000\n",
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"460 CL0007467 1 800.000000\n",
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"461 CL0007468 1 500.000000\n",
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"462 CL0007469 1 500.000000\n",
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"463 CL0007470 1 500.000000\n",
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"\n",
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"[464 rows x 3 columns]\n"
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]
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}
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],
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"execution_count": 5
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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": 2
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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": "ipython2",
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"version": "2.7.6"
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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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