DS - ML Tutorial 23 Data Structures in Pandas library - DataFrame : Part 1

#pythonchallenge #ds #ml #pandaslibrary #pythonchallenge #ds #ml DS - ML Tutorial 23 Data Structures in Pandas library - DataFrame : Part 1 In Pandas, a DataFrame is a two-dimensional labeled data structure that can hold data of different types (numeric, character, boolean, etc.). It is similar to a spreadsheet or a SQL table, where the data is arranged in rows and columns. A DataFrame consists of three main components: the data, the row index, and the column index. The row index is a set of labels that identify each row in the data array, while the column index is a set of labels that identify each column. By default, the row index is a sequence of integers from 0 to N-1, where N is the number of rows in the data array, and the column index is a sequence of strings or integers, depending on how the DataFrame is constructed. https://github.com/ajanthadevi2012/Complete_DS_ML

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