Go over columns attestation and edit documents online

How to quickly Go over columns attestation and enhance your workflow

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DocHub is an excellent example of an instrument you can grasp right away with all the valuable functions accessible. Start modifying instantly after creating an account. The user-friendly interface of the editor will help you to locate and employ any function right away. Experience the difference using the DocHub editor as soon as you open it to Go over columns attestation.

Simply follow these steps to get started on modifying your documents:

Go to the DocHub site and click Sign up to create an account.
Give your current email address and set up a security password to complete the registration.
Once done with the signup, you will be directed to your dashboard. Select the New Document option to add the file you need to modify.
Pull and drop the file from your gadget or link it from your cloud storage space.
Open the file in the editor and use its toolbar to Go over columns attestation.
All the modifications in the document will be saved automatically. After finishing the editing, just go to your Dashboard or download the document on your gadget.

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How to go over columns attestation

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hey guys this is abhishek and in this video i will show you how you can modify first of all how you can iterate over the column values of a data frame and then you can either perform the operation on all of the values of columns and if you want you can perform the operation on a single row so how we can really do that is first of all lets get the data set and uh lets import favorite iris and uh it is present here at users x dot restarts esc and head okay now if you want to you know iterate over the column values we will going to use the for loop and for data frame its its mostly about uh key value pair so what it means is from key comma value in iris dot iter items so either items is basically uh allows us to iterate over the each of the columns and key is basically you know the different columns and value is the values which are present in each of these columns all right press colon and simply first of all write key comma value and execute it print key comma okay so my bet i just

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