Python：Excel 比较 [关闭]

Question

我想比较两个基于主键的 Excel，并希望生成报告以及我在其中添加、删除了哪个主键以及我更改了哪个主键的相应数据。

我正在使用 https://pbpython.com/excel-diff-pandas-update.html 作为参考，我正在获取所有删除、添加和不匹配的详细信息。我也想在更改后的选项卡中查看匹配项。

我正在使用下面的代码

import pandas as pd

# Read in the two files but call the data old and new and create columns to track
old = pd.read_excel('sample-address-1.xlsx', 'Sheet1', na_values=['NA'])
new = pd.read_excel('sample-address-2.xlsx', 'Sheet1', na_values=['NA'])
old['version'] = "old"
new['version'] = "new"

old_accts_all = set(old['account number'])
new_accts_all = set(new['account number'])

dropped_accts = old_accts_all - new_accts_all
added_accts = new_accts_all - old_accts_all

all_data = pd.concat([old,new],ignore_index=True)
changes = all_data.drop_duplicates(subset=["account number",
                                           "name", "street",
                                           "city","state",
                                           "postal code"], keep='last')

dupe_accts = changes[changes['account number'].duplicated() == True]['account number'].tolist()
dupes = changes[changes["account number"].isin(dupe_accts)]

change_new = dupes[(dupes["version"] == "new")]
change_old = dupes[(dupes["version"] == "old")]

# Drop the temp columns - we don't need them now
change_new = change_new.drop(['version'], axis=1)
change_old = change_old.drop(['version'], axis=1)

# Index on the account numbers
change_new.set_index('account number', inplace=True)
change_old.set_index('account number', inplace=True)

# Combine all the changes together
df_all_changes = pd.concat([change_old, change_new],
                            axis='columns',
                            keys=['old', 'new'],
                            join='outer')

# Define the diff function to show the changes in each field
def report_diff(x):
    return x[0] if x[0] == x[1] else '{} ---> {}'.format(*x)

df_all_changes = df_all_changes.swaplevel(axis='columns')[change_new.columns[0:]]

df_changed = df_all_changes.groupby(level=0, axis=1).apply(lambda frame: frame.apply(report_diff, axis=1))
df_changed = df_changed.reset_index()

df_removed = changes[changes["account number"].isin(dropped_accts)]
df_added = changes[changes["account number"].isin(added_accts)]

output_columns = ["account number", "name", "street", "city", "state", "postal code"]
writer = pd.ExcelWriter("my-diff.xlsx")
df_changed.to_excel(writer,"changed", index=False, columns=output_columns)
df_removed.to_excel(writer,"removed",index=False, columns=output_columns)
df_added.to_excel(writer,"added",index=False, columns=output_columns)
writer.save()