将值写入python中熊猫工作表中的特定单元格

Question

我有一个 excel 表，它在某些单元格中已经有一些值。

例如：-

        A      B      C      D
1      val1   val2          val3
2             valx   valy        

我希望 pandas 在不接触任何其他单元格、工作表等的情况下写入特定单元格

这是我试过的代码。

import pandas as pd
from openpyxl import load_workbook

df2 = pd.DataFrame({'Data': [13, 24, 35, 46]})
book = load_workbook('b.xlsx')
writer = pd.ExcelWriter('b.xlsx', engine='openpyxl')

df2.to_excel(writer, "Sheet1", startcol=7,startrow=6)

writer.save()

但是，此代码会删除旧的单元格值。

我参考了：- How to write to an existing excel file without overwriting data (using pandas)? 但这个解决方案不起作用。

Answer 1

UPDATE2：将数据附加到现有 Excel 工作表，保留其他（旧）工作表：

import pandas as pd
from openpyxl import load_workbook

fn = r'C:\Temp\.data\doc.xlsx'

df = pd.read_excel(fn, header=None)
df2 = pd.DataFrame({'Data': [13, 24, 35, 46]})

writer = pd.ExcelWriter(fn, engine='openpyxl')
book = load_workbook(fn)
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)

df.to_excel(writer, sheet_name='Sheet1', header=None, index=False)
df2.to_excel(writer, sheet_name='Sheet1', header=None, index=False,
             startcol=7,startrow=6)

writer.save()

更新：您的 Excel 文件没有标题，因此您应该相应地处理它：

In [57]: df = pd.read_excel(fn, header=None)

In [58]: df
Out[58]:
     0    1
0  abc  def
1  ghi  lmn

In [59]: df2
Out[59]:
   Data
0    13
1    24
2    35
3    46

In [60]: writer = pd.ExcelWriter(fn)

In [61]: df.to_excel(writer, header=None, index=False)

In [62]: df2.to_excel(writer, startcol=7,startrow=6, header=None, index=False)

In [63]: writer.save()

旧答案：

您可以使用以下技巧：

先将现有的excel文件内容读入一个新的DF中：

In [17]: fn = r'C:\Temp\b.xlsx'

In [18]: df = pd.read_excel(fn)

In [19]: df
Out[19]:
       A      B     C      D
0   val1    NaN  val3   val4
1  val11  val22   NaN  val33

现在我们可以将其写回并附加一个新的 DF2：

In [20]: writer = pd.ExcelWriter(fn)

In [21]: df.to_excel(writer, index=False)

In [22]: df2.to_excel(writer, startcol=7,startrow=6, header=None)

In [23]: writer.save()

Answer 2

我无法使用 pandas 完成我在问题中提出的问题，但可以使用 Openpyxl 解决它。

我会写一些代码 sn-ps 这将有助于实现所要求的。

import openpyxl

# to open the excel sheet and if it has macros
srcfile = openpyxl.load_workbook('docname.xlsx', read_only=False, keep_vba=True)

# get sheetname from the file
sheetname = srcfile.get_sheet_by_name('sheetname')
# write something in B2 cell of the supplied sheet
sheetname['B2'] = str('write something')
# write to row 1,col 1 explicitly, this type of writing is useful to
# write something in loops
sheetname.cell(row=1, column=1).value = 'something'

# save it as a new file, the original file is untouched and here I am saving
# it as xlsm(m here denotes macros).
srcfile.save('newfile.xlsm')

所以 Openpyxl 写入一个 purticular 单元格，而不接触其他表、单元格等。 它基本上写入一个尊重原始文件属性的新文件。

Answer 3

使用pandas读取excel并追加文件

def getpayment_excel(request):
    df = pd.read_excel(open(str(settings.MEDIA_ROOT)+"/"+"details.xlsx", 'rb'), sheetname='Sheet1')
    XLSX_MIME = 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet'
    response = HttpResponse(content_type=XLSX_MIME)
    response['Content-Disposition'] = 'attachment; filename="PythonExport.xlsx"'
    writer = pd.ExcelWriter(response, engine='xlsxwriter')
    df.loc[0,'Bank Name'] = "ICICIW"
    df.to_excel(writer, 'Sheet1', index=False)
    writer.save()
    return response