Why Does This Happen?

The example above, df.Age refers to the ‘Age’ column of the DataFrame df. By adding (), Python interprets it as an attempt to call the column as if it were a function, which it is not. Columns in Pandas DataFrames are accessed using square brackets [] or by using the dot notation without parentheses.

How to Fix “TypeError: ‘Column’ Object is Not Callable” in Python Pandas

The error “TypeError: ‘Column’ object is not callable” in Python typically occurs when you try to call a Column object as if it were a function. This error commonly arises when working with the libraries like Pandas or SQLAlchemy.

However, users often encounter various errors when manipulating data, one of which is the infamous TypeError: ‘Column’ object is not callable. This error can be confusing, especially for beginners. In this article, we will explore the causes of this error and how to fix it.

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Understanding the TypeError Error of Pandas

The TypeError: 'Column' object is not callable typically occurs when you mistakenly use parentheses () instead of square brackets [] to access a DataFrame column in Pandas. In Pandas, parentheses are used for calling functions, whereas square brackets are used for accessing elements like columns....

Why Does This Happen?

The example above, df.Age refers to the ‘Age’ column of the DataFrame df. By adding (), Python interprets it as an attempt to call the column as if it were a function, which it is not. Columns in Pandas DataFrames are accessed using square brackets [] or by using the dot notation without parentheses....

Fix TypeError: ‘Column’ Object is Not Callable” in Pandas

To resolve this error, you need to use square brackets to access the column or ensure you are not using parentheses with the dot notation....