Fixing "BadZipFile" Error When Reading Excel File from SharePoint Online using Python in Jupyter Notebook
In this article, we will discuss how to fix the "BadZipFile" error that occurs when trying to read an Excel file from SharePoint Online using Python in Jupyter Notebook. We will cover key concepts related to this topic and provide detailed steps to resolve the issue. The article is at least 800 words long and includes subtitles, paragraphs, code blocks, and a summary with references.
Context and Key Concepts
When working with data stored in SharePoint Online, you may need to access Excel files using Python in Jupyter Notebook for data analysis or automation purposes. One common way to do this is by using the pandas library and its read_excel() function. However, you may encounter a "BadZipFile" error when attempting to read the Excel file.
This error occurs because SharePoint Online compresses Excel files into a .zip format when downloading, and Python is unable to uncompress and read the file properly. The root cause of this issue is related to the headers of the downloaded file, which indicate that it is a .zip file, but the actual content is an Excel file.
Resolving the "BadZipFile" Error
To resolve the "BadZipFile" error, you can use the following steps:
- Authenticate to SharePoint Online.
- Download the Excel file as a binary stream.
- Modify the headers of the binary stream to indicate that it is an Excel file.
- Save the binary stream as a temporary file.
- Read the temporary file using the
pandaslibrary.
Code Example
Here is a code example that demonstrates how to fix the "BadZipFile" error:
# Import required libraries
import requests
from io import BytesIO
import pandas as pd
# SharePoint Online site URL and file path
site\_url = ""
file\_path = "/your-document-library/your-excel-file.xlsx"
# Authenticate to SharePoint Online
response = requests.get("{}/_api/web/lists/getbytitle('Documents')/ContextInfo".format(site\_url), headers={"Accept": "application/json;odata=verbose"})
context\_info = response.json()["d"]
# Download the Excel file as a binary stream
headers = {
"Accept": "application/octet-stream",
"Authorization": "Bearer {}".format(context\_info["FormDigestValue"]),
}
response = requests.get("{}/_api/web/GetFileByServerRelativeUrl('{}')/$value".format(site\_url, file\_path), headers=headers, stream=True)
# Modify the headers of the binary stream
response.headers["Content-Type"] = "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
# Save the binary stream as a temporary file
temp\_file = BytesIO()
for chunk in response.iter\_content(1024):
temp\_file.write(chunk)
temp\_file.seek(0)
# Read the temporary file using pandas
df = pd.read\_excel(temp\_file)
In this article, we discussed the "BadZipFile" error that occurs when trying to read an Excel file from SharePoint Online using Python in Jupyter Notebook. We covered the following key concepts:
- The reason for the "BadZipFile" error is the headers of the downloaded file from SharePoint Online.
- By modifying the headers of the binary stream, we can avoid the "BadZipFile" error.
- Using the
pandaslibrary, we can read the Excel file from the temporary file.
References
The following references were used in this article:
- Requests library: https://docs.python-requests.org/en/master/
- Pandas library: https://pandas.pydata.org/
- SharePoint Online REST API: https://docs.microsoft.com/en-us/sharepoint/dev/sp-add-ins/working-with-lists-and-library-data-using-rest