Have you ever struggled with editing your Csv document while on the go? Well, DocHub comes with a great solution for that! Access this cloud editor from any internet-connected device. It allows users to Faint frame in Csv files quickly and anytime needed.
DocHub will surprise you with what it offers. It has powerful functionality to make whatever changes you want to your paperwork. And its interface is so easy-to-use that the entire process from start to finish will take you only a few clicks.
After you finish adjusting and sharing, you can save your updated Csv document on your device or to the cloud as it is or with an Audit Trail that includes all adjustments applied. Also, you can save your paperwork in its initial version or turn it into a multi-use template - complete any document management task from anyplace with DocHub. Sign up today!
so you need to stop using csv files and to show you why ive set up a bit of an experiment so weve imported numpy pandas and pi arrow well get back to what that does in a second and im going to create a data frame with 5 million rows and 24 columns the column headers are just the letters of the greek alphabet just wanted to be a bit fancy so if we make that now we can see that the data is all values between naught and one you know this is representative of normalized data feed to an ai maybe sensor data who knows all we know is that its good mock data ill show you what im talking about im going to do some read write comparisons between a csv file and something called a feather file now im going to set these cells going because this is going to take a little while to do but i can talk about what these things are um while its going now before i want to talk about the feather file im going to talk about the csv file a bit just so we have a bit of context as to why the feather fi