使用 python pandas 附加现有 Excel 工作表和新数据框

119
投票

更新[2022-01-08]：从版本 1.4.0 开始，Pandas 支持追加到现有 Excel 工作表，保留旧内容，“开箱即用”！

熊猫团队干得好！

摘自

ExcelWriter 文档：

if_sheet_exists : {'error', 'new', 'replace', 'overlay'}, default 'error' How to behave when trying to write to a sheet that already exists (append mode only). ... * overlay: Write contents to the existing sheet without removing the old contents. .. versionadded:: 1.3.0 .. versionchanged:: 1.4.0 Added ``overlay`` option

对于 Pandas 版本

< 1.4.0 please find below a helper function for appending a Pandas DataFrame to an existing Excel file.

如果 Excel 文件不存在，则会创建它。

更新[2021-09-12]：已修复 Pandas 1.3.0+

以下功能已经过测试：

from pathlib import Path
from copy import copy
from typing import Union, Optional
import numpy as np
import pandas as pd
import openpyxl
from openpyxl import load_workbook
from openpyxl.utils import get_column_letter


def copy_excel_cell_range(
        src_ws: openpyxl.worksheet.worksheet.Worksheet,
        min_row: int = None,
        max_row: int = None,
        min_col: int = None,
        max_col: int = None,
        tgt_ws: openpyxl.worksheet.worksheet.Worksheet = None,
        tgt_min_row: int = 1,
        tgt_min_col: int = 1,
        with_style: bool = True
) -> openpyxl.worksheet.worksheet.Worksheet:
    """
    copies all cells from the source worksheet [src_ws] starting from [min_row] row
    and [min_col] column up to [max_row] row and [max_col] column
    to target worksheet [tgt_ws] starting from [tgt_min_row] row
    and [tgt_min_col] column.

    @param src_ws:  source worksheet
    @param min_row: smallest row index in the source worksheet (1-based index)
    @param max_row: largest row index in the source worksheet (1-based index)
    @param min_col: smallest column index in the source worksheet (1-based index)
    @param max_col: largest column index in the source worksheet (1-based index)
    @param tgt_ws:  target worksheet.
                    If None, then the copy will be done to the same (source) worksheet.
    @param tgt_min_row: target row index (1-based index)
    @param tgt_min_col: target column index (1-based index)
    @param with_style:  whether to copy cell style. Default: True

    @return: target worksheet object
    """
    if tgt_ws is None:
        tgt_ws = src_ws

    # https://stackoverflow.com/a/34838233/5741205
    for row in src_ws.iter_rows(min_row=min_row, max_row=max_row,
                                min_col=min_col, max_col=max_col):
        for cell in row:
            tgt_cell = tgt_ws.cell(
                row=cell.row + tgt_min_row - 1,
                column=cell.col_idx + tgt_min_col - 1,
                value=cell.value
            )
            if with_style and cell.has_style:
                # tgt_cell._style = copy(cell._style)
                tgt_cell.font = copy(cell.font)
                tgt_cell.border = copy(cell.border)
                tgt_cell.fill = copy(cell.fill)
                tgt_cell.number_format = copy(cell.number_format)
                tgt_cell.protection = copy(cell.protection)
                tgt_cell.alignment = copy(cell.alignment)
    return tgt_ws


def append_df_to_excel(
        filename: Union[str, Path],
        df: pd.DataFrame,
        sheet_name: str = 'Sheet1',
        startrow: Optional[int] = None,
        max_col_width: int = 30,
        autofilter: bool = False,
        fmt_int: str = "#,##0",
        fmt_float: str = "#,##0.00",
        fmt_date: str = "yyyy-mm-dd",
        fmt_datetime: str = "yyyy-mm-dd hh:mm",
        truncate_sheet: bool = False,
        storage_options: Optional[dict] = None,
        **to_excel_kwargs
) -> None:
    """
    Append a DataFrame [df] to existing Excel file [filename]
    into [sheet_name] Sheet.
    If [filename] doesn't exist, then this function will create it.

    @param filename: File path or existing ExcelWriter
                     (Example: '/path/to/file.xlsx')
    @param df: DataFrame to save to workbook
    @param sheet_name: Name of sheet which will contain DataFrame.
                       (default: 'Sheet1')
    @param 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...
    @param max_col_width: maximum column width in Excel. Default: 40
    @param autofilter: boolean - whether add Excel autofilter or not. Default: False
    @param fmt_int: Excel format for integer numbers
    @param fmt_float: Excel format for float numbers
    @param fmt_date: Excel format for dates
    @param fmt_datetime: Excel format for datetime's
    @param truncate_sheet: truncate (remove and recreate) [sheet_name]
                           before writing DataFrame to Excel file
    @param storage_options: dict, optional
        Extra options that make sense for a particular storage connection, e.g. host, port,
        username, password, etc., if using a URL that will be parsed by fsspec, e.g.,
        starting “s3://”, “gcs://”.
    @param to_excel_kwargs: arguments which will be passed to `DataFrame.to_excel()`
                            [can be a dictionary]
    @return: None

    Usage examples:

    >>> append_df_to_excel('/tmp/test.xlsx', df, autofilter=True,
                           freeze_panes=(1,0))

    >>> append_df_to_excel('/tmp/test.xlsx', df, header=None, index=False)

    >>> append_df_to_excel('/tmp/test.xlsx', df, sheet_name='Sheet2',
                           index=False)

    >>> append_df_to_excel('/tmp/test.xlsx', df, sheet_name='Sheet2',
                           index=False, startrow=25)

    >>> append_df_to_excel('/tmp/test.xlsx', df, index=False,
                           fmt_datetime="dd.mm.yyyy hh:mm")

    (c) [MaxU](https://stackoverflow.com/users/5741205/maxu?tab=profile)
    """
    def set_column_format(ws, column_letter, fmt):
        for cell in ws[column_letter]:
            cell.number_format = fmt
    filename = Path(filename)
    file_exists = filename.is_file()
    # process parameters
    # calculate first column number
    # if the DF will be written using `index=True`, then `first_col = 2`, else `first_col = 1`
    first_col = int(to_excel_kwargs.get("index", True)) + 1
    # ignore [engine] parameter if it was passed
    if 'engine' in to_excel_kwargs:
        to_excel_kwargs.pop('engine')
    # save content of existing sheets
    if file_exists:
        wb = load_workbook(filename)
        sheet_names = wb.sheetnames
        sheet_exists = sheet_name in sheet_names
        sheets = {ws.title: ws for ws in wb.worksheets}

    with pd.ExcelWriter(
        filename.with_suffix(".xlsx"),
        engine="openpyxl",
        mode="a" if file_exists else "w",
        if_sheet_exists="new" if file_exists else None,
        date_format=fmt_date,
        datetime_format=fmt_datetime,
        storage_options=storage_options
    ) as writer:
        if file_exists:
            # try to open an existing workbook
            writer.book = wb
            # 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 = sheets
        else:
            # file doesn't exist, we are creating a new one
            startrow = 0

        # write out the DataFrame to an ExcelWriter
        df.to_excel(writer, sheet_name=sheet_name, **to_excel_kwargs)
        worksheet = writer.sheets[sheet_name]

        if autofilter:
            worksheet.auto_filter.ref = worksheet.dimensions

        for xl_col_no, dtyp in enumerate(df.dtypes, first_col):
            col_no = xl_col_no - first_col
            width = max(df.iloc[:, col_no].astype(str).str.len().max(),
                        len(df.columns[col_no]) + 6)
            width = min(max_col_width, width)
            column_letter = get_column_letter(xl_col_no)
            worksheet.column_dimensions[column_letter].width = width
            if np.issubdtype(dtyp, np.integer):
                set_column_format(worksheet, column_letter, fmt_int)
            if np.issubdtype(dtyp, np.floating):
                set_column_format(worksheet, column_letter, fmt_float)

    if file_exists and sheet_exists:
        # move (append) rows from new worksheet to the `sheet_name` worksheet
        wb = load_workbook(filename)
        # retrieve generated worksheet name
        new_sheet_name = set(wb.sheetnames) - set(sheet_names)
        if new_sheet_name:
            new_sheet_name = list(new_sheet_name)[0]
        # copy rows written by `df.to_excel(...)` to
        copy_excel_cell_range(
            src_ws=wb[new_sheet_name],
            tgt_ws=wb[sheet_name],
            tgt_min_row=startrow + 1,
            with_style=True
        )
        # remove new (generated by Pandas) worksheet
        del wb[new_sheet_name]
        wb.save(filename)
        wb.close()

旧版本（使用 Pandas 1.2.3 和 Openpyxl 3.0.5 测试）：

import os
from openpyxl import load_workbook


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.

    @param filename: File path or existing ExcelWriter
                     (Example: '/path/to/file.xlsx')
    @param df: DataFrame to save to workbook
    @param sheet_name: Name of sheet which will contain DataFrame.
                       (default: 'Sheet1')
    @param 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...
    @param truncate_sheet: truncate (remove and recreate) [sheet_name]
                           before writing DataFrame to Excel file
    @param to_excel_kwargs: arguments which will be passed to `DataFrame.to_excel()`
                            [can be a dictionary]
    @return: None

    Usage examples:

    >>> append_df_to_excel('d:/temp/test.xlsx', df)

    >>> append_df_to_excel('d:/temp/test.xlsx', df, header=None, index=False)

    >>> append_df_to_excel('d:/temp/test.xlsx', df, sheet_name='Sheet2',
                           index=False)

    >>> append_df_to_excel('d:/temp/test.xlsx', df, sheet_name='Sheet2', 
                           index=False, startrow=25)

    (c) [MaxU](https://stackoverflow.com/users/5741205/maxu?tab=profile)
    """
    # Excel file doesn't exist - saving and exiting
    if not os.path.isfile(filename):
        df.to_excel(
            filename,
            sheet_name=sheet_name, 
            startrow=startrow if startrow is not None else 0, 
            **to_excel_kwargs)
        return
    
    # ignore [engine] parameter if it was passed
    if 'engine' in to_excel_kwargs:
        to_excel_kwargs.pop('engine')

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

    # 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}

    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()

使用示例：

filename = r'C:\OCC.xlsx'

append_df_to_excel(filename, df)

append_df_to_excel(filename, df, header=None, index=False)

append_df_to_excel(filename, df, sheet_name='Sheet2', index=False)

append_df_to_excel(filename, df, sheet_name='Sheet2', index=False, startrow=25)

c:/temp/test.xlsx:

PS，如果您不想重复列名，您可能还需要指定

header=None

...

更新：您可能还想检查这个旧解决方案

25
投票

如果您不是严格寻找 Excel 文件，则将输出作为 csv 文件获取，然后将 csv 复制到新的 excel 文件。

注意：这只适用于列数少于 1000 的情况，因为 csv 对可写入的列数有限制。

df.to_csv('filepath', mode='a', index = False, header=None)

mode='a'

 表示追加。

这是一种迂回的方式，但效果很好！

6
投票

基于 MaxU 和其他人的代码和注释构建，但简化为仅修复 pandas ExcelWriter 的错误，该错误导致 to_excel 创建新工作表而不是在附加模式下附加到现有工作表。

正如其他人所指出的，to_excel 使用 ExcelWriter.sheets 属性，并且由 ExcelWriter 时不会填充该属性。

Fix 是单行代码，否则代码是 to_excel 中记录的标准 pandas 方法。


    # xl_path is destination xlsx spreadsheet
    with pd.ExcelWriter(xl_path, 'openpyxl', mode='a') as writer:
        # fix line
        writer.sheets = dict((ws.title, ws) for ws in writer.book.worksheets)
        df.to_excel(writer, sheet_name)

5
投票

这对我有用

import os
import openpyxl
import pandas as pd
from openpyxl.utils.dataframe import dataframe_to_rows

file = r"myfile.xlsx"

df = pd.DataFrame({'A': 1, 'B': 2})

# create excel file
if os.path.isfile(file):  # if file already exists append to existing file
    workbook = openpyxl.load_workbook(file)  # load workbook if already exists
    sheet = workbook['my_sheet_name']  # declare the active sheet 

    # append the dataframe results to the current excel file
    for row in dataframe_to_rows(df, header = False, index = False):
        sheet.append(row)
    workbook.save(file)  # save workbook
    workbook.close()  # close workbook
else:  # create the excel file if doesn't already exist
    with pd.ExcelWriter(path = file, engine = 'openpyxl') as writer:
        df.to_excel(writer, index = False, sheet_name = 'my_sheet_name')

3
投票

import pandas as pd
import openpyxl

workbook = openpyxl.load_workbook("test.xlsx")
writer = pd.ExcelWriter('test.xlsx', engine='openpyxl')
writer.book = workbook
writer.sheets = dict((ws.title, ws) for ws in workbook.worksheets)
data_df.to_excel(writer, 'Existing_sheetname')
writer.save()
writer.close()

3
投票

如果您每次在工作表上使用 ExcelWriter，它将覆盖前一个工作表，那么可见的只是您附加到工作簿的最后一个数据表。相反，您可以维护一个最初为 1 的计数器，您需要初始化 Excel 工作表并使用现有的方法添加初始数据

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

df = pd.read_excel(output_file, sheet_name='TestSheet1')

或者你可以使用我使用的以下方法。下次要使用工作簿时加载它，否则如果您尝试在第一种情况下加载它，则文件找不到异常。

用途：

from bs4 import BeautifulSoup
import requests
import pandas as pd
from openpyxl import load_workbook

urls = ["http://millenniumcricketleague.com/Home/ShowTeam.aspx?tid=22",
        "http://millenniumcricketleague.com/Home/ShowTeam.aspx?tid=40"]
path = "F:\meta_1.xlsx"
writer = pd.ExcelWriter(path,engine='openpyxl')
counter = 1
for url in urls:
    table_data = []
    final = []
    html_content = requests.get(url).text
    soup = BeautifulSoup(html_content, "lxml")
    x = soup.find_all('table')
    for table in x[1:]:
        for tr in table.find_all("tr"):
            newrow = []
            for td in tr.find_all("td"):
                newrow.append(td.text.replace('\n', ' ').strip())
            table_data.append(newrow)
    df = pd.DataFrame(table_data)
    sheetname = 'Sheet%s' % counter
    if(counter!=1):
        writer.book = load_workbook(path)
    df.to_excel(writer, sheet_name=sheetname)
    counter = counter + 1
    writer.save()

无需关闭 Excelwriter。它是一个自动功能。如果您明确定义它，则会向您显示警告

0
投票

这个问题已经提出有一段时间了。答案是可以的，但我相信这会解决大多数人的问题。

只需使用 glob 访问特定目录中的文件，循环遍历它们，创建每个文件的数据帧，将其附加到最后一个文件，然后导出到文件夹。我还添加了注释掉的代码，以便使用 csv 来运行此操作。

import os
import pandas as pd
import glob

# put in path to folder with files you want to append
# *.xlsx or *.csv will get all files of that type
path = "C:/Users/Name/Folder/*.xlsx"
#path = "C:/Users/Name/Folder/*.csv"

# initialize a empty df
appended_data = pd.DataFrame()

#loop through each file in the path
for file in glob.glob(path):
    print(file)

    # create a df of that file path
    df = pd.read_excel(file, sheet_name = 0)
    #df = pd.read_csv(file, sep=',')

    # appened it
    appended_data = appended_data.append(df)

appended_data

# export the appeneded data to a folder of your choice
exportPath = 'C:/My/EXPORT/PATH/appended_dataExport.csv'
appended_data.to_csv(os.path.join(exportPath),index=False)

0
投票

补充@david，如果你不关心

索引并且可以使用.csv，此函数有助于将任何df附加到现有的csv

def append_df(self, path_file, df):
    with open(path_file, 'a+') as f:
        df.to_csv(f, header=f.tell() == 0, encoding='utf-8', index=False)

备注：

a+

如果文件不存在则创建

f.tell() == 0

 如果第一行添加标题

0
投票

from openpyxl import load_workbook
wb = load_workbook(filepath)
ws = wb["Sheet1"]
df = dataframe.values.tolist()
for i in range(len(df)):
    ws.append(df[i])
wb.save(filepath)

0
投票

下面是向现有 Excel 文件附加数据的非常简单的工作示例。

last_row = pd.read_excel("output.xlsx").index.stop + 1 
df1 = pd.DataFrame([["Aashutosh0012", "https://aashutosh.fly.dev"]], columns=["Header A", "Header B"])  
    with pd.ExcelWriter("output.xlsx", mode="a", engine="openpyxl", if_sheet_exists="overlay") as writer:
        df.to_excel(writer, startrow=last_row, index=False, header=False)

我尝试了上面列出的许多示例，但没有一个起作用，除非您在

startrow

 中传递

pd.ExcelWriter

 参数，否则它将覆盖现有行。

下面是创建 Excel 文件（如果不存在）的函数，否则将数据附加到现有 Excel 文件的末尾。

import os
import pandas as pd

def save_to_excel(data: list, excel_file="output.xlsx"):
    headers = ["Header A", "Header B"]
    data_df = pd.DataFrame(data, columns=headers)    
    try:
        # Check if the file exists or not
        file_exists = os.path.isfile(excel_file)        
        # Try to append data to an existing Excel file or create a new one
        if file_exists:
            # get last row postion in existing excel file
            last_row = pd.read_excel(excel_file).index.stop + 1 
            with pd.ExcelWriter(excel_file, mode="a", if_sheet_exists="overlay") as writer:
                data_df.to_excel(writer, startrow = last_row, index=False, header=False)
                print(f'Data appended to file {excel_file}.')
        else:
            with pd.ExcelWriter(excel_file, mode="w") as writer:
                data_df.to_excel(writer, index=False)
                print(f'New file {excel_file} created and data saved.')                    
    except PermissionError:
        print(f'Error: Permission denied while trying to access {excel_file}.')
    except Exception as e:
        print(f'An error occurred: {e}')

-1
投票

将 DataFrame 附加到现有 Excel 文件

使用

ExcelWriter 将 DataFrame 附加到现有的 Excel 文件。这是一种简单的方法，并使用现有的库功能。

with pd.ExcelWriter('existing_excel_file.xlsx',mode='a') as writer:  
    df.to_excel(writer, sheet_name='existing_sheet_name')

详细示例请参考

pandas read Excel File with Examples

问题描述投票：0回答：11

11个回答

最新问题

使用 python pandas 附加现有 Excel 工作表和新数据框

问题描述 投票：0回答：11

11个回答

最新问题

问题描述投票：0回答：11