Why am I getting a \'pandas.hashtable.KeyError\' when accessing a column in my DataFrame?

Error: pandas.hashtable.KeyError

When attempting to retrieve a specific column from a Pandas data frame, the error message "pandas.hashtable.KeyError" indicates that the key (column name) does not exist in the data frame.

In this particular instance, the user tried to access the "review" column but received the KeyError. To resolve this issue, it is crucial to ensure that the specified column name is correct and exists in the data frame.

One possible cause of the error is the presence of whitespaces or special characters in the column name. To address this, the user can strip whitespaces from the column names using the following code:

reviews_new.columns = reviews_new.columns.str.strip()

Alternatively, the "skipinitialspace" parameter can be used when reading the CSV file to ignore any leading whitespaces:

reviews_new = pd.read_csv("D:\aviva.csv", skipinitialspace=True)

Another potential cause is an incorrect separator being used when reading the CSV file. The default separator is a comma, but if the data is separated by a different character (such as a semicolon), the "sep" parameter should be specified:

reviews_new = pd.read_csv("D:\aviva.csv", sep=";")

If the issue persists, it is recommended to print the list of column names using the following code:

print(reviews_new.columns.tolist())

This will output the actual column names present in the data frame, and any discrepancies with the intended column name can be identified.

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