python xlrd unsupported format, or corrupt file.
Question:
My code:
import xlrd
wb = xlrd.open_workbook("Z:\Data\Locates\3.8 locates.xls")
sh = wb.sheet_by_index(0)
print sh.cell(0,0).value
The error:
Traceback (most recent call last):
File "Z:WilsontradedStockStatus.py", line 18, in <module>
wb = xlrd.open_workbook("Z:\Data\Locates\3.8 locates.xls")
File "C:Python27libsite-packagesxlrd__init__.py", line 429, in open_workbook
biff_version = bk.getbof(XL_WORKBOOK_GLOBALS)
File "C:Python27libsite-packagesxlrd__init__.py", line 1545, in getbof
bof_error('Expected BOF record; found %r' % self.mem[savpos:savpos+8])
File "C:Python27libsite-packagesxlrd__init__.py", line 1539, in bof_error
raise XLRDError('Unsupported format, or corrupt file: ' + msg)
xlrd.biffh.XLRDError: Unsupported format, or corrupt file: Expected BOF record;
found '<table r'"
The file doesn’t seem to be corrupted or of a different format.
Anything to help find the source of the issue would be great.
Answers:
You say:
The file doesn’t seem to be corrupted or of a different format.
However as the error message says, the first 8 bytes of the file are '<table r' … that is definitely not Excel .xls format. Open it with a text editor (e.g. Notepad) that won’t take any notice of the (incorrect) .xls extension and see for yourself.
I just downloaded xlrd, created an excel document (excel 2007) for testing and got the same error (message says ‘found PKx03x04x14x00x06x00’). Extension is a xlsx. Tried saving it to an older .xls format and error disappears …..
there’s nothing wrong with your file. xlrd does not yet support xlsx (excel 2007+) files although it’s purported to have supported this for some time.
2-days ago they committed a pre-alpha version to their git which integrates xlsx support. Other forums suggest that you use a DOM parser for xlsx files since the xlsx file type is just a zip archive containing XML. I have not tried this. there is another package with similar functionality as xlrd and this is called openpyxl which you can get from easy_install or pip. I have not tried this either, however, its API is supposed to be similar to xlrd.
I had a similar problem and it was related to the version. In a python terminal check:
>> import xlrd
>> xlrd.__VERSION__
If you have ‘0.9.0’ you can open almost all files. If you have ‘0.6.0’ which was what I found on Ubuntu, you may have problems with newest Excel files. You can download the latest version of xlrd using the Distutils standard.
This will happen to some files while also open in Excel.
Try to open it as an HTML with pandas:
import pandas as pd
data = pd.read_html('filename.xls')
Or try any other html python parser.
That’s not a proper excel file, but an html readable with excel.
In my case, after opening the file with a text editor as @john-machin suggested, I realized the file is not encrypted as an Excel file is supposed to but it’s in the CSV format and was saved as an Excel file. What I did was renamed the file and its extension and used read_csv function instead:
os.rename('sample_file.xls', 'sample_file.csv')
csv = pd.read_csv("sample_file.csv", error_bad_lines=False)
I meet the same problem.
it lies in the .xls file itself – it looks like an Excel file however it isn’t. (see if there’s a pop up when you plainly open the .xls from Excel)
sjmachin commented on Jan 19, 2013 from https://github.com/python-excel/xlrd/issues/26 helps.
I found the similar problem when downloading .xls file and opened it using xlrd library. Then I tried out the solution of converting .xls into .xlsx as detailed here: how to convert xls to xlsx
It works like a charm and rather than opening .xls, I am working with .xlsx file now using openpyxl library.
Hope it helps to solve your issue.
I met this problem too.I opened this file by excel and saved it as other formats such as excel 97-2003 and finally I solved this problem
I had the same issue. Those old files are formatted like a tab-delimited file. I’ve been able to open my problem files with read_table; ie df = pd.read_table('trouble_maker.xls').
I know there should be a proper way to solve it
but just to save time
I uploaded my xlsx sheet to Google Sheets and then again downloaded it from Google Sheets
it working now
If you don’t have time to solve the problem, you can try this
Worked on the same issue , finally done this is top for the question so just putting what i did.
Observation –
1 -The file was not actually XLS i renamed to txt and noticed HTML text in file.
2 – Renamed the file to html and tried reading pd.read_html, Failed.
3- Added as it was not there in txt file, removed style to ensure that table is displaying in browser from local, and WORKED.
Below is the code may help someone..
import pandas as pd
import os
import shutil
import html5lib
import requests
from bs4 import BeautifulSoup
import re
import time
shutil.copy('your.xls','file.html')
shutil.copy('file.html','file.txt')
time.sleep(2)
txt = open('file.txt','r').read()
# Modify the text to ensure the data display in html page, delete style
txt = str(txt).replace('<style> .text { mso-number-format:@; } </script>','')
# Add head and body if it is not there in HTML text
txt_with_head = '<html><head></head><body>'+txt+'</body></html>'
# Save the file as HTML
html_file = open('output.html','w')
html_file.write(txt_with_head)
# Use beautiful soup to read
url = r"C:Usershitesh kumarPycharmProjectsOEM MLoutput.html"
page = open(url)
soup = BeautifulSoup(page.read(), features="lxml")
my_table = soup.find("table",attrs={'border': '1'})
frame = pd.read_html(str(my_table))[0]
print(frame.head())
frame.to_excel('testoutput.xlsx',sheet_name='sheet1', index=False)
I had faced the same xlrd.biffh.XLRDError: Unsupported format, or corrupt file: Expected BOF record; error and solved it by writing an XML to XLSX converter. The reason is that actually, xlrd does not support XML Spreadsheet (*.xml) i.e. NOT in XLS or XLSX format.
import pandas as pd
from bs4 import BeautifulSoup
def convert_to_xlsx():
with open('sample.xls') as xml_file:
soup = BeautifulSoup(xml_file.read(), 'xml')
writer = pd.ExcelWriter('sample.xlsx')
for sheet in soup.findAll('Worksheet'):
sheet_as_list = []
for row in sheet.findAll('Row'):
sheet_as_list.append([cell.Data.text if cell.Data else '' for cell in row.findAll('Cell')])
pd.DataFrame(sheet_as_list).to_excel(writer, sheet_name=sheet.attrs['ss:Name'], index=False, header=False)
writer.save()
Sometimes help to add ?raw=true at the end of a file path. For example:
wb = xlrd.open_workbook("Z:\Data\Locates\3.8 locates.xls?raw=true")
Open in google sheets and then download from sheets as CSV and then reupload to drive. Then you can Open CSV file from python.
I got this error when I tried to read some XLSX files from a folder and that one of the files was opened. I closed the XLSX file and this error did not show up.
It may be an old excel file format. It can be read as html in pandas via
import pandas as pd
df = pd.read_html('file.xls')
Eventually, this gives a list of dataframes (if you check the type is a list). https://pandas.pydata.org/pandas-docs/version/0.17.1/io.html#io-read-html
You need to extract them, for instance with df[0]
2 ways I know of is to just download the xls file once again and if you are doing in google colab, just load the file once again from your computer and run the pd.read_excel("filename,xlsx") once again . It should work.
Try this It worked for me.
import pandas as pd
data = pd.read_csv('filename.xls')
As they already wrote it is actually html, to see the first table you can use
df= pd.read_html(file)
df[0]
To see how many tables there are you can use
print('Tables found:', len(df))
This work for me, using encoding="utf-8" from this post
UnicodeDecodeError: 'charmap' codec can't decode byte 0x90 in position 100: character maps to <undefined>
def convert_to_xlsx():
with open('sample.xls', encoding="utf-8") as xml_file:
soup = BeautifulSoup(xml_file.read(), 'xml')
writer = pd.ExcelWriter('sample.xlsx')
for sheet in soup.findAll('Worksheet'):
sheet_as_list = []
for row in sheet.findAll('Row'):
sheet_as_list.append([cell.Data.text if cell.Data else '' for cell in row.findAll('Cell')])
pd.DataFrame(sheet_as_list).to_excel(writer, sheet_name=sheet.attrs['ss:Name'], index=False,
header=False)
writer.save()
melike’s answer works for me, while the last output sentence did’t work, so if anyone has the same issue with me and wants to output the xlsx file into local location, can just easily modify the last three lines.
import pandas as pd
from bs4 import BeautifulSoup
def convert_to_xlsx():
with open('sample.xls') as xml_file:
soup = BeautifulSoup(xml_file.read(), 'xml')
writer = pd.ExcelWriter('sample.xlsx')
for sheet in soup.findAll('Worksheet'):
sheet_as_list = []
for row in sheet.findAll('Row'):
sheet_as_list.append([cell.Data.text if cell.Data else '' for cell in row.findAll('Cell')])
output_df = pd.DateFrame(sheet_as_list)
output_df.to_excel(writer, sheet_name='sheet1',index=False, header=False)
writer.close()
My code:
import xlrd
wb = xlrd.open_workbook("Z:\Data\Locates\3.8 locates.xls")
sh = wb.sheet_by_index(0)
print sh.cell(0,0).value
The error:
Traceback (most recent call last):
File "Z:WilsontradedStockStatus.py", line 18, in <module>
wb = xlrd.open_workbook("Z:\Data\Locates\3.8 locates.xls")
File "C:Python27libsite-packagesxlrd__init__.py", line 429, in open_workbook
biff_version = bk.getbof(XL_WORKBOOK_GLOBALS)
File "C:Python27libsite-packagesxlrd__init__.py", line 1545, in getbof
bof_error('Expected BOF record; found %r' % self.mem[savpos:savpos+8])
File "C:Python27libsite-packagesxlrd__init__.py", line 1539, in bof_error
raise XLRDError('Unsupported format, or corrupt file: ' + msg)
xlrd.biffh.XLRDError: Unsupported format, or corrupt file: Expected BOF record;
found '<table r'"
The file doesn’t seem to be corrupted or of a different format.
Anything to help find the source of the issue would be great.
You say:
The file doesn’t seem to be corrupted or of a different format.
However as the error message says, the first 8 bytes of the file are '<table r' … that is definitely not Excel .xls format. Open it with a text editor (e.g. Notepad) that won’t take any notice of the (incorrect) .xls extension and see for yourself.
I just downloaded xlrd, created an excel document (excel 2007) for testing and got the same error (message says ‘found PKx03x04x14x00x06x00’). Extension is a xlsx. Tried saving it to an older .xls format and error disappears …..
there’s nothing wrong with your file. xlrd does not yet support xlsx (excel 2007+) files although it’s purported to have supported this for some time.
2-days ago they committed a pre-alpha version to their git which integrates xlsx support. Other forums suggest that you use a DOM parser for xlsx files since the xlsx file type is just a zip archive containing XML. I have not tried this. there is another package with similar functionality as xlrd and this is called openpyxl which you can get from easy_install or pip. I have not tried this either, however, its API is supposed to be similar to xlrd.
I had a similar problem and it was related to the version. In a python terminal check:
>> import xlrd
>> xlrd.__VERSION__
If you have ‘0.9.0’ you can open almost all files. If you have ‘0.6.0’ which was what I found on Ubuntu, you may have problems with newest Excel files. You can download the latest version of xlrd using the Distutils standard.
This will happen to some files while also open in Excel.
Try to open it as an HTML with pandas:
import pandas as pd
data = pd.read_html('filename.xls')
Or try any other html python parser.
That’s not a proper excel file, but an html readable with excel.
In my case, after opening the file with a text editor as @john-machin suggested, I realized the file is not encrypted as an Excel file is supposed to but it’s in the CSV format and was saved as an Excel file. What I did was renamed the file and its extension and used read_csv function instead:
os.rename('sample_file.xls', 'sample_file.csv')
csv = pd.read_csv("sample_file.csv", error_bad_lines=False)
I meet the same problem.
it lies in the .xls file itself – it looks like an Excel file however it isn’t. (see if there’s a pop up when you plainly open the .xls from Excel)
sjmachin commented on Jan 19, 2013 from https://github.com/python-excel/xlrd/issues/26 helps.
I found the similar problem when downloading .xls file and opened it using xlrd library. Then I tried out the solution of converting .xls into .xlsx as detailed here: how to convert xls to xlsx
It works like a charm and rather than opening .xls, I am working with .xlsx file now using openpyxl library.
Hope it helps to solve your issue.
I met this problem too.I opened this file by excel and saved it as other formats such as excel 97-2003 and finally I solved this problem
I had the same issue. Those old files are formatted like a tab-delimited file. I’ve been able to open my problem files with read_table; ie df = pd.read_table('trouble_maker.xls').
I know there should be a proper way to solve it
but just to save time
I uploaded my xlsx sheet to Google Sheets and then again downloaded it from Google Sheets
it working now
If you don’t have time to solve the problem, you can try this
Worked on the same issue , finally done this is top for the question so just putting what i did.
Observation –
1 -The file was not actually XLS i renamed to txt and noticed HTML text in file.
2 – Renamed the file to html and tried reading pd.read_html, Failed.
3- Added as it was not there in txt file, removed style to ensure that table is displaying in browser from local, and WORKED.
Below is the code may help someone..
import pandas as pd
import os
import shutil
import html5lib
import requests
from bs4 import BeautifulSoup
import re
import time
shutil.copy('your.xls','file.html')
shutil.copy('file.html','file.txt')
time.sleep(2)
txt = open('file.txt','r').read()
# Modify the text to ensure the data display in html page, delete style
txt = str(txt).replace('<style> .text { mso-number-format:@; } </script>','')
# Add head and body if it is not there in HTML text
txt_with_head = '<html><head></head><body>'+txt+'</body></html>'
# Save the file as HTML
html_file = open('output.html','w')
html_file.write(txt_with_head)
# Use beautiful soup to read
url = r"C:Usershitesh kumarPycharmProjectsOEM MLoutput.html"
page = open(url)
soup = BeautifulSoup(page.read(), features="lxml")
my_table = soup.find("table",attrs={'border': '1'})
frame = pd.read_html(str(my_table))[0]
print(frame.head())
frame.to_excel('testoutput.xlsx',sheet_name='sheet1', index=False)
I had faced the same xlrd.biffh.XLRDError: Unsupported format, or corrupt file: Expected BOF record; error and solved it by writing an XML to XLSX converter. The reason is that actually, xlrd does not support XML Spreadsheet (*.xml) i.e. NOT in XLS or XLSX format.
import pandas as pd
from bs4 import BeautifulSoup
def convert_to_xlsx():
with open('sample.xls') as xml_file:
soup = BeautifulSoup(xml_file.read(), 'xml')
writer = pd.ExcelWriter('sample.xlsx')
for sheet in soup.findAll('Worksheet'):
sheet_as_list = []
for row in sheet.findAll('Row'):
sheet_as_list.append([cell.Data.text if cell.Data else '' for cell in row.findAll('Cell')])
pd.DataFrame(sheet_as_list).to_excel(writer, sheet_name=sheet.attrs['ss:Name'], index=False, header=False)
writer.save()
Sometimes help to add ?raw=true at the end of a file path. For example:
wb = xlrd.open_workbook("Z:\Data\Locates\3.8 locates.xls?raw=true")
Open in google sheets and then download from sheets as CSV and then reupload to drive. Then you can Open CSV file from python.
I got this error when I tried to read some XLSX files from a folder and that one of the files was opened. I closed the XLSX file and this error did not show up.
It may be an old excel file format. It can be read as html in pandas via
import pandas as pd
df = pd.read_html('file.xls')
Eventually, this gives a list of dataframes (if you check the type is a list). https://pandas.pydata.org/pandas-docs/version/0.17.1/io.html#io-read-html
You need to extract them, for instance with df[0]
2 ways I know of is to just download the xls file once again and if you are doing in google colab, just load the file once again from your computer and run the pd.read_excel("filename,xlsx") once again . It should work.
Try this It worked for me.
import pandas as pd
data = pd.read_csv('filename.xls')
As they already wrote it is actually html, to see the first table you can use
df= pd.read_html(file)
df[0]
To see how many tables there are you can use
print('Tables found:', len(df))
This work for me, using encoding="utf-8" from this post
UnicodeDecodeError: 'charmap' codec can't decode byte 0x90 in position 100: character maps to <undefined>
def convert_to_xlsx():
with open('sample.xls', encoding="utf-8") as xml_file:
soup = BeautifulSoup(xml_file.read(), 'xml')
writer = pd.ExcelWriter('sample.xlsx')
for sheet in soup.findAll('Worksheet'):
sheet_as_list = []
for row in sheet.findAll('Row'):
sheet_as_list.append([cell.Data.text if cell.Data else '' for cell in row.findAll('Cell')])
pd.DataFrame(sheet_as_list).to_excel(writer, sheet_name=sheet.attrs['ss:Name'], index=False,
header=False)
writer.save()
melike’s answer works for me, while the last output sentence did’t work, so if anyone has the same issue with me and wants to output the xlsx file into local location, can just easily modify the last three lines.
import pandas as pd
from bs4 import BeautifulSoup
def convert_to_xlsx():
with open('sample.xls') as xml_file:
soup = BeautifulSoup(xml_file.read(), 'xml')
writer = pd.ExcelWriter('sample.xlsx')
for sheet in soup.findAll('Worksheet'):
sheet_as_list = []
for row in sheet.findAll('Row'):
sheet_as_list.append([cell.Data.text if cell.Data else '' for cell in row.findAll('Cell')])
output_df = pd.DateFrame(sheet_as_list)
output_df.to_excel(writer, sheet_name='sheet1',index=False, header=False)
writer.close()