Hello Guys, How are you all? Hope You all Are Fine. Today I am just trying to read .csv file But I am facing following error SyntaxError: (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape in python. So Here I am Explain to you all the possible solutions here.
Without wasting your time, Let’s start This Article to Solve This Error.
- How (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape Error Occurs ?
- How To Solve (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape Error ?
- Solution 1: put
r
before your path string - Solution 2: doubling the backslashes
- Solution 3: Use double quotes and forwardslash character
- Solution 4: Use double quotes and escaping backslash character
- Solution 5: Use raw prefix and single quotes
- Summary
How (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape Error Occurs ?
I am just trying to read .csv file But I am facing following error.
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape
How To Solve (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape Error ?
How To Solve (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape Error ?
To Solve (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape Error You just need to put
r
before your path string Just like this pandas.read_csv(r”C:\Users\ssc\Desktop\account_summery.csv”) OR Just Use double quotes and forwardslash character. Third solution is Just Use double quotes and forwardslash character.(unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape
To Solve (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape Error You just need to put
r
before your path string Just like this pandas.read_csv(r”C:\Users\ssc\Desktop\account_summery.csv”) OR Just Use double quotes and forwardslash character. Third solution is Just Use double quotes and forwardslash character.
Solution 1: put r
before your path string
You just need to put r
before your path string Just like this.
pandas.read_csv(r"C:\Users\ssc\Desktop\account_summery.csv")
Solution 2: doubling the backslashes
Just doubling the backslashes Just like this.
pandas.read_csv("C:\\Users\\DeePak\\Desktop\\myac.csv")
Solution 3: Use double quotes and forwardslash character
Just Use double quotes and forwardslash character
data = open("C:/Users/ssc/Desktop/account_summery.csv")
Solution 4: Use double quotes and escaping backslash character
Just Use double quotes and escaping backslash character.
data = open("C:\\Users\\ssc\\Desktop\\account_summery.csv")
Solution 5: Use raw prefix and single quotes
Just Use raw prefix and single quotes.
data = open(r'C:\Users\ssc\Desktop\account_summery.csv')
Summary
It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you?
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