问题
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.
回答1:
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.
回答2:
$10 says your file path is correct with respect to the location of the .py file, but incorrect with respect to the location from which you call python
For example, let's say script.py is located in ~/script/, and file.csv is located in ~/. Let's say script.py contains
import pandas
df = pandas.read_csv('../file.csv') # correct path from ~/script/ where script.py resides
If from ~/ you run python script/script.py
, you will get the FileNotFound error. However, if from ~/script/ you run python script.py
, it will work.
回答3:
I know following is a silly mistake but it could be the problem with your file.
I've renamed the file manually from adfa123
to abc.csv
. The extension of the file was hidden, after renaming, Actual File name became abc.csv.csv
. I've then removed the extra .csv
from the name and everything was fine.
Hope it could help anyone else.
回答4:
import pandas as pd
path1 = 'C:\\Users\\Dell\\Desktop\\Data\\Train_SU63ISt.csv'
path2 = 'C:\\Users\\Dell\\Desktop\\Data\\Test_0qrQsBZ.csv'
df1 = pd.read_csv(path1)
df2 = pd.read_csv(path2)
print(df1)
print(df2)
回答5:
On Windows systems you should try with os.path.normcase
.
It normalize the case of a pathname. On Unix and Mac OS X, this returns the path unchanged; on case-insensitive filesystems, it converts the path to lowercase. On Windows, it also converts forward slashes to backward slashes. Raise a TypeError if the type of path is not str or bytes (directly or indirectly through the os.PathLike interface).
import os
import pandas as pd
script_dir = os.getcwd()
file = 'example_file.csv'
data = pd.read_csv(os.path.normcase(os.path.join(script_dir, file)))
回答6:
If you are using windows machine. Try checking the file extension. There is a high possibility of file being saved as fileName.csv.txt instead of fileName.csv You can check this by selecting File name extension checkbox under folder options (Please find screenshot)
below code worked for me:
import pandas as pd
df = pd.read_csv(r"C:\Users\vj_sr\Desktop\VJS\PyLearn\DataFiles\weather_data.csv");
If fileName.csv.txt, rename/correct it to fileName.csv
windows 10 screen shot
Hope it works, Good Luck
回答7:
Try using os.path.join
to create the filepath:
import os
f_path = os.path.join(*['C:', 'Users', 'user', 'Desktop', 'datafile.csv'])
df = pd.read_csv(f_path)
回答8:
I was trying to read the csv
file from the folder that was in my 'c:\'drive but, it raises the error of escape,type error, unicode
......as such but this code works
just take an variable then add r to read it.
rank = pd.read_csv (r'C:\Users\DELL\Desktop\datasets\iris.csv')
df=pd.DataFrame(rank)
回答9:
There is an another problem on how to delete the characters that seem invisible.
My solution is copying the filepath from the file windows instead of the property windows.
That is no problem except that you should fulfill the filepath.
回答10:
Experienced the same issue. Path was correct. Changing the file name seems to solve the problem.
Old file name: Season 2017/2018 Premier League.csv New file name: test.csv
Possibly the whitespaces or "/"
回答11:
I had the same problem when running the file with the interactive functionality provided by Visual studio. Switched to running on the native command line and it worked for me.
回答12:
Instead of pd.read_csv('yourDirectory\yourData.csv')
use pd.read_csv('yourDirectory//yourData.csv')
回答13:
For my particular issue, the failure to load the file correctly was due to an "invisible" character that was introduced when I copied the filepath from the security tab of the file properties in windows.
This character is e2 80 aa
, the UTF-8 encoding of U+202A, the left-to-right embedding symbol. It can be easily removed by erasing (hitting backspace or delete) when you've located the character (leftmost char in the string).
Note: I chose to answer because the answers here do not answer my question and I believe a few folks (as seen in the comments) might meet the same situation as I did. There also seems to be new answers every now and then since I did not mark this question as resolved.
回答14:
data = pd.read_csv('C:\\Users\username\Python\mydata.csv')
This worked for me. Note the double "\\" in "C:\\" where the rest of the folders use only a single "\".
来源:https://stackoverflow.com/questions/42165649/pandas-read-csv-file-not-found-despite-correct-path-with-raw-text