Keyerror: “none of [‘date’] are in the columns”

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Issue: KeyError – “None of [‘date’] are in the columns”

Explanation:

This error occurs when trying to access a key (in this case, ‘date’) in a list or dictionary but that key doesn’t exist in the available keys/columns.

Example:

    
import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
  'name': ['John', 'Alice', 'Bob'],
  'age': [28, 32, 45]
})

# Try to access a non-existent key 'date'
df['date']

The above code will raise a KeyError because the DataFrame ‘df’ does not have a column named ‘date’.

Solution:

To resolve this error, you need to make sure that the key you are trying to access is present in the columns of the DataFrame. You can check the available columns by calling df.columns.

    
import pandas as pd

# Create a DataFrame
df = pd.DataFrame({
  'name': ['John', 'Alice', 'Bob'],
  'age': [28, 32, 45]
})

# Check the available columns
print(df.columns)

Output: Index([‘name’, ‘age’], dtype=’object’)

If the ‘date’ column is missing, you have a few options:

  • If you need the ‘date’ column, you should add it to the DataFrame using a suitable approach, like merging another DataFrame, converting a different column to date format, or creating a new column altogether.
  • If you don’t need the ‘date’ column, you can remove the line of code causing the KeyError, or modify your code to not reference ‘date’.

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