如何使用 pandas 附加来自各种 excel 的特定列及其所有工作表？

Question

我有很多擅长的工作表（每个工作表都有不同的名称）和不同的列。

每个 excel 的每张表都有我要提取的三列（名称、标题、数据库）并将它们放在一个只有一张表的文件中。因此，输出文件应包含三列，由所有其他 excel 和工作表的列名称、标题、数据库数据组成。

尝试使用以下代码执行此操作，仅从每个第一张表中获取数据。

通过在read_excel() 中添加sheet_name=None，我看到：TypeError: Can only append a Series if ignore_index=True or if the Series has a name.

通过在append() 中添加ignore_index=True，输出文件中没有数据。

感谢您的宝贵时间！我是编程初学者。

import pandas as pd

#Setting SourceFiles
my_files = [(r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\a.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\b.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\c.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\d.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\e.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\f.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\g.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\h.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\i.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\j.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\k.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\l.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\m.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\n.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\o.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\p.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\q.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\r.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\s.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\t.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\u.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\v.xls'),
            (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\w,y,z.xls')]

#Combining the SourceFiles
df = pd.DataFrame()

for f in my_files:
    data = pd.read_excel(f) #Here I set the sheet_name=None
    df = df.append(data)    #Here I set the ignore_index=True

#Defining the columns I want from the Source file and how I want them (Sorted and with Dropped duplicates)

columns_i_want = (pd.DataFrame(df, columns= ['Name', 'Title', 'Database']))
sorted_data = column_i_want.sort_values('Name', ascending=True)

#Transfering the data to an other excel
column_i_want.to_excel (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\output.xlsx', index = False, header=True)

Answer 1

所以，我找到了方法！我不认为这是最好或最简单的方法，但它对我有用：

import pandas as pd

test = [(r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\a.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\b.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\c.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\d.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\e.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\f.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\g.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\h.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\i.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\j.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\k.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\l.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\m.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\n.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\o.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\p.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\q.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\r.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\s.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\t.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\u.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\v.xls'),
        (r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\REAL\w,y,z.xls')]

df = pd.DataFrame()

def merge(data):
    df = pd.concat(pd.read_excel(data, sheet_name=None), ignore_index=True)
    df = pd.DataFrame(df, columns= ['Name', 'Title', 'Database'])
    column_i_want = (pd.DataFrame(df).drop_duplicates(subset=["Title"]))
    sorted_data = (column_i_want.sort_values(['Name', 'Title'], ascending=True))
    return sorted_data

for i in test:
    x = merge(i)
    df = df.append(x)

df.to_excel(r'C:\Users\John\Dev\Mini_Personal_scripts\The_Excel_Project\Excels\output.xlsx', index = False, header=True)