Adapt legend in SDW

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Aug 6th, 2022

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Easily adapt legend in SDW to work with documents in various formats

You can’t make document adjustments more convenient than editing your SDW files online. With DocHub, you can get tools to edit documents in fillable PDF, SDW, or other formats: highlight, blackout, or erase document elements. Add text and images where you need them, rewrite your copy completely, and more. You can save your edited file to your device or submit it by email or direct link. You can also transform your documents into fillable forms and ask others to complete them. DocHub even offers an eSignature that allows you to certify and send out paperwork for signing with just a couple of clicks.

How to adapt legend in SDW file using DocHub:

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Upload your data file to DocHub by clicking New Document.
Open your transferred file in our editor and adapt legend in SDW using our drag and drop functionality.
Click Download/Export and save your SDW to your device or cloud storage.

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How to adapt legend in SDW

5 out of 5

55 votes

hey there todayamp;#39;s video is all about the matplotlib legend so iamp;#39;m really excited because iamp;#39;m going to be sharing with you several different tips such as how to put the legend outside of the figure how to make a horizontal legend and how to increase the font size so letamp;#39;s get started by the way all the code iamp;#39;ll show you is available on my github page so weamp;#39;ll get started coding by importing pi plot as well as numpy and then just creating a couple of arrays that we can plot on this plot we have two different lines so letamp;#39;s go ahead and add a legend here and the way that we add a legend to this figure is to reference the pi plot and that legend function if we go ahead and run this code weamp;#39;ll get this response no handles with labels found to put in legend and what this means is we donamp;#39;t have any text labels for these plots yet so we need to go ahead and supply a list iamp;#39;ll just call the first line blue and the

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