pandas 将熊猫数据框写入现有工作簿

writing pandas data frame to existing workbook

提问by Michele della Mea

I want to save a data frame to the second sheet of a file but I can't do that and I don't know why.

我想将数据框保存到文件的第二张纸，但我不能这样做，我也不知道为什么。

yfile = openpyxl.load_workbook(new_file, data_only=True) 
ws = yfile.worksheets[0] 
sheet2 = yfile.create_sheet() 
ws2 = yfile.get_sheet_by_name("Sheet").title = "Analysis" 
writer = pd.ExcelWriter(yfile, engine='xlsxwriter') 
df3.to_excel(writer, sheet_name='Analysis') 
writer.save()
yfile.save(new_file)                                          

I have created the sheet 'Analysis' but when I save in it I received the following response: "AttributeError: 'Workbook' object has no attribute 'write'"

我已经创建了“分析”表，但是当我在其中保存时，我收到了以下响应：“AttributeError: 'Workbook' object has no attribute 'write'”

What I have to modify?

我必须修改什么？

回答by MaxU

Use the following helper function:

使用以下辅助函数：

def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=None,
                       truncate_sheet=False, 
                       **to_excel_kwargs):
    """
    Append a DataFrame [df] to existing Excel file [filename]
    into [sheet_name] Sheet.
    If [filename] doesn't exist, then this function will create it.

    Parameters:
      filename : File path or existing ExcelWriter
                 (Example: '/path/to/file.xlsx')
      df : dataframe to save to workbook
      sheet_name : Name of sheet which will contain DataFrame.
                   (default: 'Sheet1')
      startrow : upper left cell row to dump data frame.
                 Per default (startrow=None) calculate the last row
                 in the existing DF and write to the next row...
      truncate_sheet : truncate (remove and recreate) [sheet_name]
                       before writing DataFrame to Excel file
      to_excel_kwargs : arguments which will be passed to `DataFrame.to_excel()`
                        [can be dictionary]

    Returns: None
    """
    from openpyxl import load_workbook

    # ignore [engine] parameter if it was passed
    if 'engine' in to_excel_kwargs:
        to_excel_kwargs.pop('engine')

    writer = pd.ExcelWriter(filename, engine='openpyxl')

    try:
        # try to open an existing workbook
        writer.book = load_workbook(filename)

        # get the last row in the existing Excel sheet
        # if it was not specified explicitly
        if startrow is None and sheet_name in writer.book.sheetnames:
            startrow = writer.book[sheet_name].max_row

        # truncate sheet
        if truncate_sheet and sheet_name in writer.book.sheetnames:
            # index of [sheet_name] sheet
            idx = writer.book.sheetnames.index(sheet_name)
            # remove [sheet_name]
            writer.book.remove(writer.book.worksheets[idx])
            # create an empty sheet [sheet_name] using old index
            writer.book.create_sheet(sheet_name, idx)

        # copy existing sheets
        writer.sheets = {ws.title:ws for ws in writer.book.worksheets}
    except FileNotFoundError:
        # file does not exist yet, we will create it
        pass

    if startrow is None:
        startrow = 0

    # write out the new sheet
    df.to_excel(writer, sheet_name, startrow=startrow, **to_excel_kwargs)

    # save the workbook
    writer.save()

NOTE:for Pandas < 0.21.0, replace sheet_namewith sheetname!

注意：对于 Pandas < 0.21.0，替换sheet_name为sheetname!

Demo:

演示：

In [127]: df = pd.DataFrame(np.random.rand(5, 3), columns=list('abc'))

In [128]: df
Out[128]:
          a         b         c
0  0.597353  0.770586  0.671231
1  0.628605  0.161283  0.397493
2  0.476206  0.701582  0.476809
3  0.045590  0.302834  0.857033
4  0.414820  0.478016  0.563258

In [129]: df.to_excel(filename)

In [130]: append_df_to_excel(filename, df, sheet_name="Sheet2", startrow=1, startcol=1)

In [131]: append_df_to_excel(filename, df, sheet_name="Sheet3", index=False)

In [132]: append_df_to_excel(filename, df, sheet_name="Sheet1", startcol=2, index=False)

---

---

Result:

结果：

Sheet1:

表 1：

Sheet2:

表2：

Sheet3:

表 3：

PS tested using the following versions:

PS使用以下版本测试：

• python: 3.6.4
• pandas: 0.22.0
• openpyxl: 2.4.10

• 蟒蛇：3.6.4
• Pandas：0.22.0
• openpyxl：2.4.10

回答by Sergey Solod

You can use such way as below. It writes dataframe to an excel-file row by row.

您可以使用如下方式。它逐行将数据帧写入 excel 文件。

from openpyxl.utils.dataframe import dataframe_to_rows
filename = r'some_file.xlsx'
df = some_dataframe

wb = load_workbook(filename)
if 'sh2' in wb.sheetnames:#to check whether sheet you need already exists
    ws = wb['sh2']
else:
    ws = wb.active
for r in dataframe_to_rows(df, index=False, header=True):
    ws.append(r)
wb.save(filename)