Pandas 将数据帧导出到xlsx：处理python 3.9上的openpyxl问题
使用最新版本的软件包：openpyxl:3.0.6 | pandas:1.2.3 | python:3.9 在将上述软件包更新为报告的最新版本之前，下面的函数工作正常 现在它会引发错误：“zipfile.BadZipFile:文件不是zip文件”。 这样的功能非常有用，如果知道它是否可以修复以正常工作，那就太好了。 下面的函数可以按原样运行，只需将“pathExport”替换到导出目录进行测试Pandas 将数据帧导出到xlsx：处理python 3.9上的openpyxl问题,pandas,openpyxl,xlsx,python-3.9,Pandas,Openpyxl,Xlsx,Python 3.9,使用最新版本的软件包：openpyxl:3.0.6 | pandas:1.2.3 | python:3.9 在将上述软件包更新为报告的最新版本之前，下面的函数工作正常 现在它会引发错误：“zipfile.BadZipFile:文件不是zip文件”。 这样的功能非常有用，如果知道它是否可以修复以正常工作，那就太好了。 下面的函数可以按原样运行，只需将“pathExport”替换到导出目录进行测试 def append_df_to_excel(filename, df, sheet_name
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
(c) [MaxU](https://stackoverflow.com/users/5741205/maxu?tab=profile)
"""
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')
# 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 = 0
# write out the new sheet
df.to_excel(writer, sheet_name, startrow=startrow, **to_excel_kwargs)
# save the workbook
writer.save()
pathExport = r"F:\PYTHON\NB-Suite_python39\MNE\outputData\df.xlsx"
df1 = pd.DataFrame({'numbers': [1, 2, 3],
'colors': ['red', 'white', 'blue'],
'colorsTwo': ['yellow', 'white', 'blue']
})
append_df_to_excel(pathExport, df1, sheet_name="DF1", index=False, startcol=0, startrow=0)
好的，我可以复制这个问题。它与熊猫相关。在熊猫1.1.5版本之前，一切正常 在熊猫1.2.0中，他们做到了 当您使用实例化
pd.ExcelWriterwriter = pd.ExcelWriter(filename, engine='openpyxl')`
openpyxlopenpyxlmode='a'writer = pd.ExcelWriter(filename, engine='openpyxl', mode='a')
pd.ExcelWritermode='a'trywriter部分中创建一个writer
模式w
：
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
(c) [MaxU](https://stackoverflow.com/users/5741205/maxu?tab=profile)
"""
from openpyxl import load_workbook
# ignore [engine] parameter if it was passed
if 'engine' in to_excel_kwargs:
to_excel_kwargs.pop('engine')
# Python 2.x: define [FileNotFoundError] exception if it doesn't exist
try:
FileNotFoundError
except NameError:
FileNotFoundError = IOError
try:
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}
except FileNotFoundError:
# file does not exist yet, we will create it
writer = pd.ExcelWriter(filename, engine='openpyxl')
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()
好的，我可以复制这个问题。它与熊猫相关。在熊猫1.1.5版本之前，一切正常
在熊猫1.2.0中，他们做到了
当您使用实例化pd.ExcelWriter
时
writer = pd.ExcelWriter(filename, engine='openpyxl')`
它会创建大小为0字节的空文件，并覆盖现有文件，然后在尝试加载时出错。它与openpyxl
无关，因为在openpyxl
的最新版本中，它可以很好地与pandas 1.1.5配合使用
解决方案-指定mode='a'
，将上面的行更改为
writer = pd.ExcelWriter(filename, engine='openpyxl', mode='a')
或者-在实例化pd.ExcelWriter
之前，查看加载文件的位置或解决方案
编辑：我在评论中被告知，如果文件不存在，使用mode='a'
将引发FileNotFoundError。虽然在这种情况下它不会创建文件是意外的，但解决方案是在现有的try
块中移动创建writer
，并在部分中创建一个writer
模式w
：
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
(c) [MaxU](https://stackoverflow.com/users/5741205/maxu?tab=profile)
"""
from openpyxl import load_workbook
# ignore [engine] parameter if it was passed
if 'engine' in to_excel_kwargs:
to_excel_kwargs.pop('engine')
# Python 2.x: define [FileNotFoundError] exception if it doesn't exist
try:
FileNotFoundError
except NameError:
FileNotFoundError = IOError
try:
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}
except FileNotFoundError:
# file does not exist yet, we will create it
writer = pd.ExcelWriter(filename, engine='openpyxl')
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()
解决方案如下：
import pandas as pd
def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=None, startcol=None,
truncate_sheet=False, resizeColumns=True, na_rep = 'NA', **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
resizeColumns: default = True . It resize all columns based on cell content width
to_excel_kwargs : arguments which will be passed to `DataFrame.to_excel()`
[can be dictionary]
na_rep: default = 'NA'. If, instead of NaN, you want blank cells, just edit as follows: na_rep=''
Returns: None
*******************
CONTRIBUTION:
Current helper function generated by [Baggio]: https://stackoverflow.com/users/14302009/baggio?tab=profile
Contributions to the current helper function: https://stackoverflow.com/users/4046632/buran?tab=profile
Original helper function: (c) [MaxU](https://stackoverflow.com/users/5741205/maxu?tab=profile)
Features of the new helper function:
1) Now it works with python 3.9 and latest versions of pandas and openpxl
---> Fixed the error: "zipfile.BadZipFile: File is not a zip file".
2) Now It resize all columns based on cell content width AND all variables will be visible (SEE "resizeColumns")
3) You can handle NaN, if you want that NaN are displayed as NaN or as empty cells (SEE "na_rep")
4) Added "startcol", you can decide to start to write from specific column, oterwise will start from col = 0
*******************
"""
from openpyxl import load_workbook
from string import ascii_uppercase
from openpyxl.utils import get_column_letter
from openpyxl import Workbook
# ignore [engine] parameter if it was passed
if 'engine' in to_excel_kwargs:
to_excel_kwargs.pop('engine')
try:
f = open(filename)
# Do something with the file
except IOError:
# print("File not accessible")
wb = Workbook()
ws = wb.active
ws.title = sheet_name
wb.save(filename)
writer = pd.ExcelWriter(filename, engine='openpyxl', mode='a')
# 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
startrow = 0
if startcol is None:
startcol = 0
# write out the new sheet
df.to_excel(writer, sheet_name, startrow=startrow, startcol=startcol, na_rep=na_rep, **to_excel_kwargs)
if resizeColumns:
ws = writer.book[sheet_name]
def auto_format_cell_width(ws):
for letter in range(1,ws.max_column):
maximum_value = 0
for cell in ws[get_column_letter(letter)]:
val_to_check = len(str(cell.value))
if val_to_check > maximum_value:
maximum_value = val_to_check
ws.column_dimensions[get_column_letter(letter)].width = maximum_value + 2
auto_format_cell_width(ws)
# save the workbook
writer.save()
用法示例：
# Create a sample dataframe
df = pd.DataFrame({'numbers': [1, 2, 3],
'colors': ['red', 'white', 'blue'],
'colorsTwo': ['yellow', 'white', 'blue'],
'NaNcheck': [float('NaN'), 1, float('NaN')],
})
# EDIT YOUR PATH FOR THE EXPORT
filename = r"C:\DataScience\df.xlsx"
# RUN ONE BY ONE IN ROW THE FOLLOWING LINES, TO SEE THE DIFFERENT UPDATES TO THE EXCEL FILE
append_df_to_excel(filename, df, index=False, startrow=0) # Basic Export of df in default sheet (Sheet1)
append_df_to_excel(filename, df, sheet_name="Cool", index=False, startrow=0) # Append the sheet "Cool" where "df" is written
append_df_to_excel(filename, df, sheet_name="Cool", index=False) # Append another "df" to the sheet "Cool", just below the other "df" instance
append_df_to_excel(filename, df, sheet_name="Cool", index=False, startrow=0, startcol=5) # Append another "df" to the sheet "Cool" starting from col 5
append_df_to_excel(filename, df, index=False, truncate_sheet=True, startrow=10, na_rep = '') # Override (truncate) the "Sheet1", writing the df from row 10, and showing blank cells instead of NaN
解决方案如下：
import pandas as pd
def append_df_to_excel(filename, df, sheet_name='Sheet1', startrow=None, startcol=None,
truncate_sheet=False, resizeColumns=True, na_rep = 'NA', **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
resizeColumns: default = True . It resize all columns based on cell content width
to_excel_kwargs : arguments which will be passed to `DataFrame.to_excel()`
[can be dictionary]
na_rep: default = 'NA'. If, instead of NaN, you want blank cells, just edit as follows: na_rep=''
Returns: None
*******************
CONTRIBUTION:
Current helper function generated by [Baggio]: https://stackoverflow.com/users/14302009/baggio?tab=profile
Contributions to the current helper function: https://stackoverflow.com/users/4046632/buran?tab=profile
Original helper function: (c) [MaxU](https://stackoverflow.com/users/5741205/maxu?tab=profile)
Features of the new helper function:
1) Now it works with python 3.9 and latest versions of pandas and openpxl
---> Fixed the error: "zipfile.BadZipFile: File is not a zip file".
2) Now It resize all columns based on cell content width AND all variables will be visible (SEE "resizeColumns")
3) You can handle NaN, if you want that NaN are displayed as NaN or as empty cells (SEE "na_rep")
4) Added "startcol", you can decide to start to write from specific column, oterwise will start from col = 0
*******************
"""
from openpyxl import load_workbook
from string import ascii_uppercase
from openpyxl.utils import get_column_letter
from openpyxl import Workbook
# ignore [engine] parameter if it was passed
if 'engine' in to_excel_kwargs:
to_excel_kwargs.pop('engine')
try:
f = open(filename)
# Do something with the file
except IOError:
# print("File not accessible")
wb = Workbook()
ws = wb.active
ws.title = sheet_name
wb.save(filename)
writer = pd.ExcelWriter(filename, engine='openpyxl', mode='a')
# 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
startrow = 0
if startcol is None:
startcol = 0
# write out the new sheet
df.to_excel(writer, sheet_name, startrow=startrow, startcol=startcol, na_rep=na_rep, **to_excel_kwargs)
if resizeColumns:
ws = writer.book[sheet_name]
def auto_format_cell_width(ws):
for letter in range(1,ws.max_column):
maximum_value = 0
for cell in ws[get_column_letter(letter)]:
val_to_check = len(str(cell.value))
if val_to_check > maximum_value:
maximum_value = val_to_check
ws.column_dimensions[get_column_letter(letter)].width = maximum_value + 2
auto_format_cell_width(ws)
# save the workbook
writer.save()
用法示例：
# Create a sample dataframe
df = pd.DataFrame({'numbers': [1, 2, 3],
'colors': ['red', 'white', 'blue'],
'colorsTwo': ['yellow', 'white', 'blue'],
'NaNcheck': [float('NaN'), 1, float('NaN')],
})
# EDIT YOUR PATH FOR THE EXPORT
filename = r"C:\DataScience\df.xlsx"
# RUN ONE BY ONE IN ROW THE FOLLOWING LINES, TO SEE THE DIFFERENT UPDATES TO THE EXCEL FILE
append_df_to_excel(filename, df, index=False, startrow=0) # Basic Export of df in default sheet (Sheet1)
append_df_to_excel(filename, df, sheet_name="Cool", index=False, startrow=0) # Append the sheet "Cool" where "df" is written
append_df_to_excel(filename, df, sheet_name="Cool", index=False) # Append another "df" to the sheet "Cool", just below the other "df" instance
append_df_to_excel(filename, df, sheet_name="Cool", index=False, startrow=0, startcol=5) # Append another "df" to the sheet "Cool" starting from col 5
append_df_to_excel(filename, df, index=False, truncate_sheet=True, startrow=10, na_rep = '') # Override (truncate) the "Sheet1", writing the df from row 10, and showing blank cells instead of NaN
这看起来像是#66471466的副本，我认为这是因为熊猫用一个空文件覆盖了现有工作簿。只需在处理后为文件使用不同的名称即可。@charlecklark我可以问一下，我应该在哪里更改函数中的名称吗？因此，我可以尝试一下，如果它有效的话，让这里的用户使用，提前感谢您，而不是使用openpyxl使用源文件名和熊猫使用目标文件名。请注意，这两个肯定是不同的。@charlecklark，谢谢。我尽了最大的努力，但我不确定我到底应该在哪里做出这些改变。你能用代码回复吗？因此，我可以测试它并确认它是否有效，我相信它将对所有其他将在此处阅读的用户有用，谢谢快速更新：刚刚注意到，在@MaxU的回答下方，20219254上的“Leeprovost”也提出了完全相同的问题，但它仍然没有得到回答。这看起来像是#66471466的副本，我认为这是因为熊猫用一个空文件覆盖了现有的工作簿。只需在处理后为文件使用不同的名称即可。@charlecklark我可以问一下，我应该在哪里更改函数中的名称吗？因此，我可以尝试一下，如果它有效的话，让这里的用户使用，提前感谢您，而不是使用openpyxl使用源文件名和熊猫使用目标文件名。请注意，这两个肯定是不同的。@charlecklark，谢谢。我尽了最大的努力，但我不确定我到底应该在哪里做出这些改变。你能用代码回复吗？因此，我可以测试它并确认它是否有效，我相信它将对所有其他将在这里阅读的用户有用，谢谢快速更新：刚刚注意到，在@MaxU的回答下，“leeprovost”在帖子20219254上提出了完全相同的问题，但它仍然没有得到hanks@buran的回答。您的解决方案只有在已经有df.xlsx文件的情况下才有效，但如果还没有文件，则会引发错误，因为它无法附加到不存在的文件。然而，您的想法帮助我找到了解决该问题的方法，我将其集成到函数中，如下所示：try:f=open（filename）#对文件执行除IOError以外的操作：#print（“file not accessible”）wb=Workbook（）ws=wb.active ws.title=sheet\u name wb.save（filename）多谢各位therefore@Baggio在这种情况下，只需将行移动到现有的try
块内，并在块中创建一个writer
，使用模式
（即默认模式）。我相应地编辑了我的答案。谢谢@buran。您的解决方案只有在已经有df.xlsx文件的情况下才有效，但如果还没有文件，则会引发错误，因为它无法附加到不存在的文件。然而，你的想法帮助我想出了一个解决这个问题的办法，我把它集成到了f中