我有一个excel表,它已经在一些单元格中有了一些值。
代表前任:-
A B C D
1 val1 val2 val3
2 valx valy
我想让熊猫写到特定的细胞上,而不接触任何其他的细胞,薄片等。
这是我试过的密码。
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,此代码删除旧的单元格值。
我已经回复到:- How to write to an existing excel file without overwriting data (using pandas)?,但是这个解决方案不起作用。
发布于 2016-10-15 06:51:41
我不能用熊猫来做我在问题中要求做的事情,但是我能够用Openpyxl
来解决这个问题。
我将编写一些有助于实现所要求的内容的代码片段。
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')
因此Openpyxl写入一个紫色的单元格,而不接触其他的工作表、单元格等等。它基本上是写到一个新的文件中,涉及到原始文件的属性。
发布于 2016-10-01 04:58:18
UPDATE2:将数据附加到现有的Excel表,保存其他(旧的)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: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:
首先,将excel文件的现有内容读入新的DF:
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
现在我们可以将它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()
发布于 2019-01-28 04:49:55
使用熊猫读取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
https://stackoverflow.com/questions/39805677
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