In pandas, we are allowed to import a CSV file with the help of pandas.read_csv() method. Sometimes, while importing a CSV file we might get the following type of error.
The easiest way to fix this error is to provide the actual path of the CSV file inside the read_csv() method. The selection of slash ('\') matters a lot. A path of a file may contain a backslash to represent a folder but when it comes to pass the complete path as a parameter inside the method, we need to use the forward slash ('/') to import the CSV file successfully.
Example:
# Importing pandas package
import pandas as pd
# Importing dataset
data=pd.read_csv('C:/Users/hp/Desktop/Includehelp/mycsv.csv')
# Print the dataset
print(data)
Output:
Sometimes, read_csv() method takes encoding option as a parameter to deal with files in different formats. Try to use encoding= utf-8" to fix the error. Other alternative for encoding="utf-8" is encoding="ISO-8859-1".
Example:
# Importing pandas package
import pandas as pd
# Importing dataset
data=pd.read_csv('C:/Users/hp/Desktop/Includehelp/mycsv1.csv', encoding="utf-8")
# Print the dataset
print(data)
Error:
Fixing UnicodeDecodeError Error
The easiest way to fix this error is to provide the actual path of the CSV file inside the read_csv() method. The selection of slash ('\') matters a lot. A path of a file may contain a backslash to represent a folder but when it comes to pass the complete path as a parameter inside the method, we need to use the forward slash ('/') to import the CSV file successfully.
Example:
Output:
Sometimes, read_csv() method takes encoding option as a parameter to deal with files in different formats. Try to use encoding= utf-8" to fix the error. Other alternative for encoding="utf-8" is encoding="ISO-8859-1".
Example:
Output:

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