Document editing comes as a part of numerous professions and jobs, which is why tools for it must be reachable and unambiguous in their use. A sophisticated online editor can spare you a lot of headaches and save a considerable amount of time if you want to Dispose columns transcript.
DocHub is a great example of a tool you can grasp very quickly with all the important functions at hand. You can start modifying instantly after creating your account. The user-friendly interface of the editor will help you to find and utilize any function right away. Experience the difference with the DocHub editor the moment you open it to Dispose columns transcript.
Being an integral part of workflows, document editing must stay easy. Using DocHub, you can quickly find your way around the editor and make the required adjustments to your document without a minute wasted.
hello and welcome back to my video QA series about the pandas library in Python so the question for today is how do I remove columns from a pandas data frame great question so the pandas data frame is of course the primary unit of data storage in the pandas library its like rows and columns so how do I remove a column as always we are going to pull up an example data set and but first we need to import pandas as PD and then were going to pull up the UFO data set a data set of UFO sightings or reported sightings and so well use the read CSV function and well pass it the URL of the data set bitly slash UFO reports okay so this creates a pandas data frame and well just look at the head as a reminder of what is in this data frame theyre just UFO reports it has five columns and in case youre curious you can use the shape attribute and see that there are 18 thousand two hundred and forty-one rows thats what this is telling us anyway lets pretend that we dont care about the color