"Error: Pandas Hashtable KeyError" Troubleshooting
When attempting to retrieve a particular column from a pandas DataFrame, you may encounter a "hashtable keyerror." This error occurs when the specified column name does not exist in the DataFrame.
Investigation:
Begin by verifying the actual column names in the DataFrame. Use the following code to list the column names, ensuring that you remove any leading or trailing whitespaces:
print(reviews_new.columns.tolist())
Potential Solutions:
1. Whitespace in Column Names
If the column names contain whitespaces, you can:
Strip whitespaces from column names:
reviews_new.columns = reviews_new.columns.str.strip()
Use skipinitialspace when reading the CSV file:
reviews_new = pd.read_csv("D:\aviva.csv", skipinitialspace=True)
2. Custom Separator
If the CSV file uses a separator other than the default comma (,), you need to specify it using the sep parameter:
Semicolon as separator:
reviews_new = pd.read_csv("D:\aviva.csv", sep=';')
Whitespace as separator:
# sep is whitespace reviews_new = pd.read_csv("D:\aviva.csv", sep='\s+') # Another option for whitespaces as separator reviews_new = pd.read_csv("D:\aviva.csv", delim_whitespace=True)
3. Missing Column Names
If the DataFrame does not have column names, the following code will retrieve the column values using the DataFrame index:
print(df.index) print(df.index.get_level_values('column_name'))
Additional Notes:
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