[英]append dataframe to excel with pandas
I desire to append dataframe to excel我希望 append dataframe 到 excel
This code works nearly as desire.该代码几乎可以按预期工作。 Though it does not append each time.虽然不是每次都 append。 I run it and it puts data-frame in excel.我运行它并将数据帧放入 excel。 But each time I run it it does not append.但是每次我运行它时它都不会 append。 I also hear openpyxl is cpu intensive but not hear of many workarounds .我还听说 openpyxl 是 cpu 密集型的,但没有听说过很多解决方法。
import pandas
from openpyxl import load_workbook
book = load_workbook('C:\\OCC.xlsx')
writer = pandas.ExcelWriter('C:\\OCC.xlsx', engine='openpyxl')
writer.book = book
writer.sheets = dict((ws.title, ws) for ws in book.worksheets)
df1.to_excel(writer, index = False)
writer.save()
I want the data to append each time I run it, this is not happening.每次我运行它时,我都希望数据到 append,这不会发生。
Data output looks like original data:数据 output 看起来像原始数据:
A B C
H H H
I want after run a second time我想在第二次运行后
A B C
H H H
H H H
Apologies if this is obvious I new to python and examples I practise did not work as wanted.如果这很明显我是 python 的新手,并且我练习的示例没有按预期工作,请道歉。
Question is - how can I append data each time I run.问题是 - 我每次运行时如何 append 数据。 I try change to xlsxwriter but get AttributeError: 'Workbook' object has no attribute 'add_format'
我尝试更改为 xlsxwriter 但得到AttributeError: 'Workbook' object has no attribute 'add_format'
first of all, this post is the first piece of the solution, where you should specify startrow=
: Append existing excel sheet with new dataframe using python pandas首先,这篇文章是解决方案的第一部分,您应该在其中指定startrow=
: 使用 python pandas 使用新的数据startrow=
附加现有的 excel 表
you might also consider header=False
.您也可以考虑header=False
。 so it should look like:所以它应该看起来像:
df1.to_excel(writer, startrow = 2,index = False, Header = False)
if you want it to automatically get to the end of the sheet and append your df then use:如果您希望它自动到达工作表的末尾并附加您的 df 则使用:
startrow = writer.sheets['Sheet1'].max_row
and if you want it to go over all of the sheets in the workbook:如果您希望它遍历工作簿中的所有工作表:
for sheetname in writer.sheets:
df1.to_excel(writer,sheet_name=sheetname, startrow=writer.sheets[sheetname].max_row, index = False,header= False)
btw: for the writer.sheets
you could use dictionary comprehension (I think it's more clean, but that's up to you, it produces the same output):顺便说一句:对于writer.sheets
你可以使用字典理解(我认为它更干净,但这取决于你,它产生相同的输出):
writer.sheets = {ws.title: ws for ws in book.worksheets}
so full code will be:所以完整的代码将是:
import pandas
from openpyxl import load_workbook
book = load_workbook('test.xlsx')
writer = pandas.ExcelWriter('test.xlsx', engine='openpyxl')
writer.book = book
writer.sheets = {ws.title: ws for ws in book.worksheets}
for sheetname in writer.sheets:
df1.to_excel(writer,sheet_name=sheetname, startrow=writer.sheets[sheetname].max_row, index = False,header= False)
writer.save()
You can use the append_df_to_excel()
helper function, which is defined in this answer :您可以使用append_df_to_excel()
辅助函数,该函数在此答案中定义:
Usage examples:用法示例:
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)
I tried to read an excel, put it in a dataframe and then concat the dataframe from excel with the desired dataframe.我尝试读取 excel,将其放入数据框中,然后将 excel 中的数据框与所需的数据框连接起来。 It worked for me.它对我有用。
def append_df_to_excel(df, excel_path):
df_excel = pd.read_excel(excel_path)
result = pd.concat([df_excel, df], ignore_index=True)
result.to_excel(excel_path, index=False)
df = pd.DataFrame({"a":[11,22,33], "b":[55,66,77]})
append_df_to_excel(df, r"<path_to_dir>\<out_name>.xlsx")
All examples here are quite complicated.这里的所有例子都非常复杂。 In the documentation , it is much easier:在文档中,它更容易:
def append_to_excel(fpath, df, sheet_name):
with pd.ExcelWriter(fpath, mode="a") as f:
df.to_excel(f, sheet_name=sheet_name)
append_to_excel(<your_excel_path>, <new_df>, <new_sheet_name>)
rows = your_df.values.tolist()
workbook = load_workbook(filename=your_excel)
sheet = workbook[your_sheet]
for row in rows:
sheet.append(row)
workbook.save(filename=your_excel)
rows = your_df.values.tolist()
workbook = load_workbook(filename=your_excel)
sheet = workbook[your_sheet]
for row in rows:
sheet.append(row)
workbook.save(filename=your_excel)
def append_to_excel(fpath, df):
if (os.path.exists(fpath)):
x=pd.read_excel(fpath)
else :
x=pd.DataFrame()
dfNew=pd.concat([df,x])
dfNew.to_excel(fpath,index=False)
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