Posted On: Mar 31, 2020
Pandas is a software library written for Python that is mainly used to analyze and manipulate data. It is an open-source, cross-platform library written by Wes Mckinney and released in 2008. This library offers data structures and operations for manipulating numerical and time-series data.
You can install Pandas using pip or with the Anaconda distribution. With this package, you can easily and quickly perform machine learning operations on the table data.
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Some of the major features of Python Pandas are,Fast and efficient in handling the data with its DataFrame object. It provides tools for loading data into in-memory data objects from various fil...
Different types of data structures available in Pandas are, Series - It is immutable in size and homogeneous one-dimensional array data structure. DataFrame - It is a tabular data structure which c...
Series is a one-dimensional array data structure that is capable of holding data of any type. In can be explained as the column in an excel sheet that has a series of data of one type. It is the simpl...