如何使用 openpyxl / pandas 或任何 python 将我从几张 excel 工作表中提取的字符串数据保存到新工作簿？

Question

Stack overflow 社区的第二个问题 - 我还不太擅长这个....

我正在尝试编写一些代码

打开一系列 excel 文档并找到 sheet 'Moderated'
从多个单元格中提取值
将数据重新排列到新的 excel sheet 中，每个单独的传播sheet 表示为新的一行单元格

我认为我已经实现了上面列表中的 1 和 2 - 尽管值以字符串形式返回并且这似乎导致保存到 excel 时出现问题。草率的导入代码部分反映了我到目前为止探索的选项...

`import sys
import os
import openpyxl
import pandas as pd
import numpy as np
import glob
from openpyxl.workbook import workbook
from openpyxl import load_workbook

path=r'C:\Users\longr\Desktop\pfile\sandbox' #working directory
filenames = glob.glob(path + "/*.xlsx")#lists all excel files

for file in filenames:
    
    wb1 = load_workbook(file, data_only=True)#works
    ws1=wb1['Moderated']#works
    
    for row in ws1.iter_rows(min_row=3,max_row=7,min_col=5,max_col=5):
        for cell in row:
            a=(cell.value)
            print (a) #works
            
   
    for row in ws1.iter_rows(min_row=3,max_row=7,min_col=7,max_col=7):
        for cell in row:
            b=(cell.value)
            print (b) 

print(type(a))
    
writer = pd.ExcelWriter(r'C:\users\longr\Desktop\pfile\sandbox\Out\Out.xlsx', engine='openpyxl')
df.to_excel(writer, index=True)`

到目前为止的输出...
Sheet 1 文本 1 (e2)
Sheet 1 个文本 2 (e4)
Sheet 1 个文本 3 (e5)
None
Sheet 1 个文本 4 (e7)
Sheet 1 个文本 5 (g3)
Sheet 1 个文本 6 (g4)
Sheet 1 个文本 7 (g5)
Sheet 1 文本 8 (g6)
Sheet 1 个文本 9 (g7)
sheet 2 文本 1 (e2)
sheet 2 文本 2 (e4)
sheet 2 文本 3 (e5)
None
sheet 2 文本 4 (e7)
sheet 2 文本 5 (g3)
sheet 2 文本 6 (g4)
sheet 2 文本 7 (g5)
Sheet 2 文本 8 (g6)
sheet 2 文本 9 (g7)

我最终想要的是..

任何帮助将不胜感激 - 但尤其是针对新手程序员的帮助

感谢 JONAS 建议使用下面的代码 - 输出现在看起来像这样 5 列而不是我想要的 9 列。我也想用不同的标题，所以H1 / HA / Header A只是一个书签，我第一次问这个问题时不清楚

Jonas - 你的代码比我的代码好得多[更优雅！]

使用建议的代码

#LATEST
import sys
import os
import openpyxl
import pandas as pd
import numpy as np
import glob
from openpyxl.workbook import workbook
from openpyxl import load_workbook
from openpyxl import writer

path=r'C:\Users\longr\Desktop\pfile\sandbox' #working directory
filenames = glob.glob(path + "/*.xlsx")#lists all excel files

new_df=[] #create new DataFrame

#create a new list, which will be your result

for file in filenames:
    
    wb1 = load_workbook(file, data_only=True)#works
    ws1=wb1['Moderated']#works
    
    a = [] #list for values in col = 5
    b = [] #list for values in col = 7

    for row in ws1.iter_rows(min_row=3,max_row=7,min_col=5,max_col=7): #use the loop to directly get the values from column 5 and 7.
        for i, cell in enumerate(row):
            if i == 0: a.append(cell.value) # save cell of col = 5 value into list a
            if i == 2: b.append(cell.value) # save cell of col = 7 value into list b

    new_df.append(a+b) #append list a and b to your bigger list for each excel-fi              
                
import string   
alphabet = string.ascii_uppercase[:27] # Alphabet for column names (header A, header B, ...)
    
df = pd.DataFrame(new_df, columns = ['header ' + alphabet[i] for i in range(len(new_df[0]))]) #create new DataFrame

writer = pd.ExcelWriter(r'C:\users\longr\Desktop\pfile\sandbox\out\out.xlsx', engine='openpyxl')

wb.save(r'C:\users\longr\Desktop\pfile\sandbox\out\out.xlsx') 

print('Spreadsheet saved')#works

错误代码：NameError：名称'wb'未定义

Answer 1

所以您可以尝试将单元格的值保存到 list 中，然后再次将此列表保存到每个 excel 文件的 list 中，这将是你的新 DataFrame:

new_df = [] #create a new list, which will be your result

for file in filenames:
    
    wb1 = load_workbook(file, data_only=True)#works
    ws1=wb1['Moderated']#works
    
    a = [] #list for values in col = 5
    b = [] #list for values in col = 7

    for row in ws1.iter_rows(min_row=3,max_row=7,min_col=5,max_col=7): #use the loop to directly get the values from column 5 and 7.
        for i, cell in enumerate(row):
            if i == 0: a.append(cell.value) # save cell of col = 5 value into list a
            if i == 2: b.append(cell.value) # save cell of col = 7 value into list b

    new_df.append(a+b) #append list a and b to your bigger list for each excel-file    


import string   
alphabet = string.ascii_uppercase[:27] # Alphabet for column names (header A, header B, ...)
    
df = pd.DataFrame(new_df, columns = ['header ' + alphabet[i] for i in range(len(new_df[0]))]) #create new DataFrame

with pd.ExcelWriter('C:\users\longr\Desktop\pfile\sandbox\Out\Out.xlsx') as writer:
    df.to_excel(writer)

如何使用 openpyxl / pandas 或任何 python 将我从几张 excel 工作表中提取的字符串数据保存到新工作簿？

How do I save the string data I have extracted from several excel sheets to a new workbook using openpyxl / pandas or anything python?

python

string

excel

openpyxl