I'm trying to load a .csv
file using the pd.read_csv()
function when I get an error despite the file path being correct and using raw strings.
import pandas as pd
df = pd.read_csv('C:\\Users\\user\\Desktop\\datafile.csv')
df = pd.read_csv(r'C:\Users\user\Desktop\datafile.csv')
df = pd.read_csv('C:/Users/user/Desktop/datafile.csv')
all gives the error below:
FileNotFoundError: File b'\xe2\x80\xaaC:/Users/user/Desktop/tutorial.csv' (or the relevant path) does not exist.
Only when i copy the file into the working directory will it load correct.
Is anyone aware of what might be causing the error?
I had previously loaded other datasets with full filepaths without any problems and I'm currently only encountering issues since I've re-installed my python (via Anaconda package installer).
Edit:
I've found the issue that was causing the problem.
When I was copying the filepath over from the file properties window, I unwittingly copied another character that seems invisible.
Assigning that copied string
also gives an unicode error.
Deleting that invisible character made any of above code work.
Try this and see if it works. This is independent of the path you provide.
pd.read_csv(r'C:\Users\aiLab\Desktop\example.csv')
Here r
is a special character and means raw string. So prefix it to your string literal.
https://www.journaldev.com/23598/python-raw-string:
Python raw string is created by prefixing a string literal with ‘r’ or ‘R’. Python raw string treats backslash () as a literal character. This is useful when we want to have a string that contains backslash and don’t want it to be treated as an escape character.