Get a list of categories of categorical variable in python

Get a list of categories of categorical variable in python

You can get a list of categories from a categorical variable in Python using the cat.categories attribute of a Pandas Series with a categorical data type. Here's how you can do it:

import pandas as pd # Sample data with a categorical variable data = {'Category': ['A', 'B', 'C', 'A', 'B', 'C']} df = pd.DataFrame(data) # Convert the 'Category' column to a categorical data type df['Category'] = df['Category'].astype('category') # Get a list of categories from the categorical variable categories_list = df['Category'].cat.categories.tolist() print(categories_list)

In this example, the cat.categories attribute returns the unique categories present in the 'Category' column as a Pandas Index object. The tolist() method is then used to convert the Index object into a Python list.

After running the code, categories_list will contain the list of unique categories from the 'Category' column:

['A', 'B', 'C']

Remember to ensure that the column is properly converted to a categorical data type using the astype('category') method before using the cat.categories attribute.

Examples

  1. How to list categories of a categorical variable in Python pandas?

    • Description: This query seeks to understand how to retrieve the unique categories present in a categorical variable using the Pandas library in Python.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Get unique categories categories = df['category'].unique() print(categories)

  2. Python code to extract unique categories from a categorical variable

    • Description: This query looks for a Python code snippet that extracts distinct categories from a categorical variable.
    • Code:
      import numpy as np # Sample categorical variable categories = np.array(['A', 'B', 'A', 'C', 'B', 'C']) # Extract unique categories unique_categories = np.unique(categories) print(unique_categories)

  3. How to find all unique categories in a categorical variable using Python?

    • Description: This query seeks a Python method to find all the unique categories present within a categorical variable.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Find unique categories unique_categories = df['category'].unique() print(unique_categories)

  4. Python code to list unique categories from a categorical variable

    • Description: This query aims to discover Python code that lists the unique categories derived from a categorical variable.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Get unique categories unique_categories = df['category'].unique() print(unique_categories)

  5. How to get a list of unique categories from a categorical variable in Python?

    • Description: This query seeks a Python solution to obtain a list containing all the unique categories present in a categorical variable.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Extract unique categories unique_categories = df['category'].unique().tolist() print(unique_categories)

  6. Python pandas code to retrieve unique categories of a categorical variable

    • Description: This query is about finding Pandas code that retrieves the distinct categories from a categorical variable.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Get unique categories unique_categories = df['category'].unique() print(unique_categories)

  7. How to list all categories from a categorical variable in Python pandas?

    • Description: This query looks for a method to list all the categories present in a categorical variable using the Pandas library in Python.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Retrieve all categories categories = df['category'].cat.categories.tolist() print(categories)

  8. Python code to display all unique categories of a categorical variable

    • Description: This query seeks Python code to display all the unique categories existing within a categorical variable.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Show unique categories unique_categories = df['category'].unique() print(unique_categories)

  9. How to extract unique categories from a categorical variable in Python?

    • Description: This query aims to extract unique categories from a categorical variable using Python.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Extract unique categories unique_categories = df['category'].unique() print(unique_categories)

  10. Python pandas code to get a list of categories from a categorical variable

    • Description: This query focuses on obtaining Pandas code that generates a list of categories present within a categorical variable.
    • Code:
      import pandas as pd # Sample DataFrame with a categorical variable data = {'category': ['A', 'B', 'A', 'C', 'B', 'C']} df = pd.DataFrame(data) # Get categories list categories_list = df['category'].cat.categories.tolist() print(categories_list)

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