WebJun 24, 2024 · OSError: Expected file path name or file-like object, got type – Stanislav Jirák Jun 24, 2024 at 13:08 If the content at the url is a csv, you should be able to pandas.read_csv (openUrl) (It can handle an object with a .read () method) However, it seems that urllib.Request.read () return a bytestring, not sure if that works. – … WebAug 27, 2024 · OSError: Expected file path name or file-like object, got type csv google-colaboratory Share Follow edited Aug 27, 2024 at 17:36 asked Aug 27, 2024 at 17:33 Fernando Renato Jimenez Gil 1 1 Add a comment 120 230 Pandas read_csv from url 225 TypeError: a bytes-like object is required, not 'str' in python and CSV
csv - PROBLEM: Expected file path name or file-like object, got …
WebSep 9, 2014 · The pd.read_csv() function crash when common latin1 characters (ex: éàèç) occurs in the file path. We can use the following workaround in python 2.7 (Note: I use … WebApr 5, 2024 · I get the following error: OSError: Expected file path name or file-like object, got type Apparently doesn't like being passed a list but i don't want to do filenames [0] in the if statement because that only runs one file python-3.x python-multiprocessing Share Improve this question Follow edited Apr 5, 2024 at 8:07 how computers are hacked
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WebJan 7, 2024 · Option 2. Another solution would be to read the byte data of the uploaded file— using contents = file.file.read () (for async read/write see this answer )—then convert the bytes into string, and finally load them into an in-memory text buffer (i.e., StringIO ), as mentioned here, which can be passed to csv.DictReader (). WebDjango uses pickle for serialization/ deserialization of session objects.. if you can't refactor your code and adding the response in your list view you might store your files and retrieve them later using python io API. WebJun 8, 2016 · import pandas as pd import s3fs df = pd.read_csv ('s3://bucket-name/file.csv') You need to install s3fs if you don't have it. pip install s3fs Authentication If your S3 … how many pounds of potatoes to feed 75 people