Python | Pandas DataFrame.ix[ ] Last Updated : 26 Jun, 2025 Comments Improve Suggest changes Like Article Like Report Python's Pandas library is a powerful tool for data analysis, it provides DataFrame.ix[] method to select a subset of data using both label-based and integer-based indexing.Important Note: DataFrame.ix[] method has been deprecated since Pandas version 0.20.0 and is no longer recommended for use in newer versions. Instead, use loc[] for label-based indexing and iloc[] for integer-based indexing.Syntax of DataFrame.ix[]DataFrame.ix[ ]Parameters:Index Position: Integer or list of integers specifying row positions.Index Label: String or list of strings specifying row labels.Returns: A DataFrame or Series, depending on the parameters.Code #1: Python3 1== # importing pandas package import pandas as geek # making data frame from csv file data = geek.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv") # Integer slicing print("Slicing only rows(till index 4):") x1 = data.ix[:4, ] print(x1, "\n") print("Slicing rows and columns(rows=4, col 1-4, excluding 4):") x2 = data.ix[:4, 1:4] print(x2) Output :Code #2: Python3 1== # importing pandas package import pandas as geek # making data frame from csv file data = geek.read_csv("nba.csv") # Index slicing on Height column print("After index slicing:") x1 = data.ix[10:20, 'Height'] print(x1, "\n") # Index slicing on Salary column x2 = data.ix[10:20, 'Salary'] print(x2) Output:Code #3: Python # importing pandas and numpy import pandas as pd import numpy as np df = pd.DataFrame(np.random.randn(10, 4), columns = ['A', 'B', 'C', 'D']) print("Original DataFrame: \n" , df) # Integer slicing print("\n Slicing only rows:") print("--------------------------") x1 = df.ix[:4, ] print(x1) print("\n Slicing rows and columns:") print("----------------------------") x2 = df.ix[:4, 1:3] print(x2) Output :Code #4: Python # importing pandas and numpy import pandas as pd import numpy as np df = pd.DataFrame(np.random.randn(10, 4), columns = ['A', 'B', 'C', 'D']) print("Original DataFrame: \n" , df) # Integer slicing (printing all the rows of column 'A') print("\n After index slicing (On 'A'):") print("--------------------------") x = df.ix[:, 'A'] print(x) Output : Comment More infoAdvertise with us A ArkadipGhosh Follow Improve Article Tags : Python Python-pandas Python pandas-dataFrame Pandas-DataFrame-Methods Practice Tags : python Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 7 min read Python Functions 5 min read Recursion in Python 6 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 5 min read Python Tuples 4 min read Dictionaries in Python 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 10 min read Python Exception Handling 6 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 11 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like