Recording Performances of Some File Types for Pandas Data

Scientists, researchers, engineers, etc. almost everyone who works with data crosses paths Pandas at some point. It is so powerful library that allows for easy, rapid and efficient manipulation of data. can convert it represent into various file types. Among these types, the determination one which records same smallest size on disk an important issue considering abundance today's In this study, types save minimum has been experimentally investigated from perspectives. respect, CSV, HDF, JSON, Excel Pickle are involved in experiments. The sizes files were benchmarked under several conditions such as completeness or lack type variables contained addition, was also examined how vary increases.