207 lines
3.8 KiB
Plaintext
207 lines
3.8 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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"id": "d99d999d",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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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": 3,
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"id": "955684bc",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = pd.read_excel(\"./2025级需要选课775+7.xlsx\", usecols=['学号', '姓名', '性别'])"
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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": "bc5324c0",
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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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"cell_type": "code",
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"execution_count": 4,
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"id": "6a622610",
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"metadata": {},
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"outputs": [],
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"source": [
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"row_strings = set()\n",
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"for _, row in df.iterrows():\n",
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" row_str = f\"{row['学号']}{row['姓名']}{row['性别']}\"\n",
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" row_strings.add(row_str)"
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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": "c2b0ab79",
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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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"(782, 3)"
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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.shape"
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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": 6,
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"id": "e5f90213",
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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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"782"
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]
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},
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"execution_count": 6,
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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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"len(row_strings)"
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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": 9,
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"id": "0ec9fe0a",
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"metadata": {},
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"outputs": [],
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"source": [
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"df1 = pd.read_excel(\"./本部简易手环学生信息 .xls\", usecols=['学号', '姓名', '性别'],skiprows=1)\n",
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"row_strings1 = set()\n",
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"for _, row in df.iterrows():\n",
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" row_str = f\"{row['学号']}{row['姓名']}{row['性别']}\"\n",
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" row_strings1.add(row_str)"
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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": 10,
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"id": "75d2483a",
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"metadata": {},
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"outputs": [],
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"source": [
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"df1 = pd.read_excel(\"./本部蓝牙手环学生信息.xls\", usecols=['学号', '姓名', '性别'],skiprows=1)\n",
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"for _, row in df.iterrows():\n",
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" row_str = f\"{row['学号']}{row['姓名']}{row['性别']}\"\n",
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" row_strings1.add(row_str)"
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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": 11,
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"id": "e5180f79",
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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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"set()"
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]
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},
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"execution_count": 11,
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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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"row_strings - row_strings1 "
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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": 12,
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"id": "e87426b4",
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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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"set()"
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]
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},
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"execution_count": 12,
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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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"row_strings1 -row_strings "
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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": 13,
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"id": "8cdc458f",
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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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"782"
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]
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},
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"execution_count": 13,
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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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"len(row_strings1)"
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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": "95b416db",
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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": "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": "3.12.4"
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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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