DocHub makes it quick and simple to blot out body in csv. No need to download any extra application – simply upload your csv to your profile, use the easy drag-and-drop editor, and quickly make edits. You can even work on your desktop or mobile device to adjust your document online from any place. That's not all; DocHub is more than just an editor. It's an all-in-one document management platform with form constructing, eSignature capabilities, and the ability to enable others fill in and eSign documents.
Every file you edit you can find in your Documents folder. Create folders and organize records for easier search and access. In addition, DocHub guarantees the security of all its users' information by complying with strict security standards.
first we import pandas LSPD and check the version to be at least 2.0 we have here an invoice CSV 5 with 5 columns and one million rows which we read as usual which takes numpy as backend then we use Pi Arrow as backend and read the CSV file for the second time We compare the first five rows of each data frame and when we check the data type of the numpy we see that it has converted the integer items to float because of the null value which Pi Arrow does not and 100 100 null values natively we check the time it uh to and the execution time of both versions and compare the execution time and we if we check and compare them together we see that on this machine at least it is 16 times faster using pi Arrow as backend