如何在忽略索引列值的情况下在现有Excel工作表下方编写数据框?

时间:2019-11-27 03:38:37

标签: python pandas openpyxl

我要在现有的excel文件下附加一个数据框。在以下代码的帮助下,数据框已成功附加到Excel文件下方,但数据框的索引值显示为我的第一列,即列A中。

例如-

1。我现有的excel文件正在关注-

   A         B         C                                                                
  10        20        30
  30        40        50
  1. 我的数据框遵循df1-

    a = {'A':[10,11,12],'B':[12,13,14],'C':[14,15,16]} df1 = pd.DataFrame(a)#要附加到现有Excel文件下面的数据框

3。运行代码后,我将遵循Output-

   A         B         C     D 
  10        20        30
  30        40        50
   0        10        11    12
   1        12        13    14
   2        14        15    16

4。但是我希望输出如下(期望的输出)

   A         B         C   
  10        20        30
  30        40        50
  10        11        12    
  12        13        14    
  14        15        16 

5。第3步中显示的输出包含索引值0、1和2,但我不希望该索引值,而是希望A列必须附加在A列下方,B列必须附加在B列下方,C列必须附加在C列下方。

简单地说,我不希望索引值出现在我的excel文件中,因为使用索引值会弄错Excel文件。

由于我的数据框中存在索引值,因此我的数据框数据正在向右移动一列。

我的代码是

#Below is a method to write dataframe value below an existing excel file
    def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=None        [truncate_sheet][1]=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

        import pandas as pd

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

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

        # Python 2.x: define [FileNotFoundError] exception if it doesn't exist
        try:
            FileNotFoundError
        except NameError:
            FileNotFoundError = IOError


        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 = 1

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

        # save the workbook
        writer.save()

    import pandas as pd
    a = {'A':[10,11],'B':[12,13],'C':[14,15]}
    df1 = pd.DataFrame(a)          #df1 is datafame which I want to append
    path1 = r"C:\Users\Desktop\ab.xlsx"    #PATH OF EXISTING EXCEL FILE 
    append_df_to_excel(path1, df1, sheet_name='Sheet1')

2 个答案:

答案 0 :(得分:4)

根据docs,如果您不想编写行名,则将索引参数设置为false。

df.to_excel(writer, sheet_name, startrow=startrow, **to_excel_kwargs)

应该是

df.to_excel(writer, sheet_name, startrow=startrow, , index=False, **to_excel_kwargs)

在代码的完整上下文中(带有一些内务处理):

import pandas as pd
from openpyxl import load_workbook


def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=1, truncate_sheet=False, **to_excel_kwargs):

    # 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 = 1

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

    # save the workbook
    writer.save()


if __name__ == '__main__':
    a = {'A': [10, 11], 'B': [12, 13], 'C': [14, 15]}
    df1 = pd.DataFrame(a)  # df1 is datafame which I want to append
    path1 = r"C:\Users\Desktop\ab.xlsx"  # PATH OF EXISTING EXCEL FILE
    append_df_to_excel(path1, df1, sheet_name='Sheet1')

答案 1 :(得分:0)

我找到了我所问问题的解决方案。 在调用以下函数时 append_df_to_excel(path1, df1, sheet_name='Sheet1', header=None,index = False )

我们必须传递header = None和index = False值。 完成后,我们将获得所需的输出。

谢谢