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[5 Solution] (unicode error) ‘unicodeescape’ codec can’t decode bytes in position 2-3: truncated \UXXXXXXXX escape

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 ?

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 ?

  1. 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.

  2. (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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