46 lines
1.9 KiB
Python
46 lines
1.9 KiB
Python
import pandas as pd
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# 读取Excel文件
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file_path = "/home/baol/tools/数据草稿-案款1.xls" # 替换为你的Excel文件路径
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# 读取“账户收”工作表，只保留指定列
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sheet_account_receipt = pd.read_excel(file_path, sheet_name="一案一账户支")
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sheet_account_receipt = sheet_account_receipt[
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["支款案号", "来源案号", "申请人", "支付日期", "支付金额", "领款人"]
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]
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# 读取“收入”工作表，表头从第二行开始，只保留指定列
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sheet_income = pd.read_excel(file_path, sheet_name="银行支出", header=1)
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sheet_income = sheet_income[["对方户名", "交易时间", "支出金额"]]
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# 统一日期格式
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sheet_account_receipt["支付日期"] = pd.to_datetime(
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sheet_account_receipt["支付日期"]
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).dt.strftime("%Y-%m-%d")
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sheet_income["交易时间"] = pd.to_datetime(sheet_income["交易时间"]).dt.strftime(
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"%Y-%m-%d"
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)
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# 合并两个数据框，保留各自的列名
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merged_df = pd.merge(
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sheet_account_receipt,
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sheet_income,
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left_on=["支付金额", "支付日期"], # 账户收的匹配列
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right_on=["支出金额", "交易时间"], # 收入的匹配列
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how="outer", # 外连接以保留未匹配的记录
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suffixes=("_一案一账户支", "_银行支出"), # 为重复列添加后缀
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)
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# 筛选出未匹配的记录
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unmatched_records = merged_df[merged_df["支付金额"].isna() | merged_df["支出金额"].isna()]
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# 将结果保存为新的Excel文件
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output_file_path_merged = "/home/baol/tools/merged_out_records.xlsx" # 合并后的记录
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output_file_path_unmatched = "/home/baol/tools/unmatched_out_records.xlsx" # 未匹配的记录
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merged_df.to_excel(output_file_path_merged, index=False, engine="openpyxl")
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unmatched_records.to_excel(output_file_path_unmatched, index=False, engine="openpyxl")
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print(f"合并后的记录已保存到 {output_file_path_merged}")
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print(f"未匹配的记录已保存到 {output_file_path_unmatched}")
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