Ilocation based boolean indexing on an integer type is not available

Query:

ilocation based boolean indexing on an integer type is not available. Please explain the answer in detail with examples.

Answer:

When performing indexing based on location (iloc) in Python, boolean indexing is not available on integer types. This means that you cannot use boolean expressions directly on integer indexes to filter or select data.

Let’s explain this with an example:

# Importing pandas library
import pandas as pd

# Creating a sample DataFrame
data = {
    'Name': ['John', 'Alice', 'Bob', 'Emily'],
    'Age': [25, 30, 35, 40]
}
df = pd.DataFrame(data)

# Trying to use boolean indexing on integer location
df.iloc[df['Age'] > 30]

# This will raise an error: TypeError: cannot do boolean indexing on an integer type

In the above example, we have a DataFrame with two columns: ‘Name’ and ‘Age’. We are trying to use boolean indexing on the ‘Age’ column to filter out rows where the age is greater than 30. However, this will raise a TypeError since boolean indexing is not available on integer types.

To workaround this issue, you can use boolean expressions in combination with other indexing methods such as loc or iloc. Here’s an alternative example:

# Using loc with boolean expression
df.loc[df['Age'] > 30]

# This will correctly filter out rows where age is greater than 30

In this alternative example, we are using the loc indexing method with a boolean expression. This will correctly filter out rows where the age is greater than 30.