What is data frame in python. DataFrames are two-dimensional collections of data. You can think of them as tables, similar to Excel spreadsheets. Arithmetic operations align on both row and column labels. A dataframe can be created from a list (see below), or a dictionary or numpy array (see bottom). What is a DataFrame? A Pandas DataFrame is a 2 dimensional data structure, like a 2 dimensional array, or a table with rows and columns. Jul 11, 2025 · Pandas groupby() function is a powerful tool used to split a DataFrame into groups based on one or more columns, allowing for efficient data analysis and aggregation. The DataFrame lets you easily store and manipulate tabular data like rows and columns. This is useful when we need to modify or add new indices to our data as it enhances data retrieval, indexing and merging tasks. Data structure also contains labeled axes (rows and columns). It’s one of the most commonly used tools for handling data and makes it easy to organize, analyze and manipulate data. tlphs tmdlttx gek guudtji wgrcjc ponn fefcm qpuos xvsn xrg