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Saw what you're looking at is this creep to you and all the previous exercise and what you did there

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is that you lost you as the user to enter some input.

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So the user and longitude and latitude value and then you pass these values to the new point method.

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In this lecture I'll show you how to actually generate Okemo file.

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All too often see is all this is a more efficient way compares to the previous method.

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So compared to the existing scrip you're looking at now because using a is fall you can actually pass

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many many along Dieudonne latitude values at the same time and get camouflages generated.

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So now you have to Fien.

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How do we get the data out of the sea as well.

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Well I think I already told you that you can use the Pandurs the library to do just that Penelas is

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a powerful data analysis library and it can efficiently read the data manipulate them.

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So I'm going to do all the these two lines here.

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OK.

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And in Paul the Panas library grades no.

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Fall I'm talking about is this one here.

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So we have two columns and photos and I'm going to keep my file here and my supplier here.

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Good.

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So what do you want to do now is create a or frame object we use use your method for that.

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Here we pass the path.

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All of this fall.

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So now we we already have the data all the if pile inside python.

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And we're keeping them in that data frame object.

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What we want to do now is create a for loop which will iterate through all of these four rows and then

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need to execute the new point math 4 times.

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So when you point math we'll get along itude and the latitude values for each of these zeros.

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So the idea is that we have to start of the loop above the new point math.

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So let's say for along that in OK so so far I taught you how to eat eight with one variable but not

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with two variables at the same time.

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So you used to iterate with one variable through a single list here to iterate through variables into

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these.

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We have to use a z function.

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So the superfunction allows you to iterate through these to the same time.

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I know these are the first LEAST WE is going to be they'll want you to call them sue to access or Challice

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we call the data frame of any of the square brackets we were either call them name of the data or frame

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which is along with passing the second least which is what you do.

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Great.

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That's the idea.

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Now you want to indent this line here and we don't have any name column in our A C as we so I'm going

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to do these very arguments that we pass here to the course parameter have to reflect the names of variables

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you Sue.

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I'm going to pass alone.

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And that was it.

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We have something here.

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It says invalid syntax of course we haven't added the colon here and that's it.

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And we don't want to iterate through the Save method because the idea here is that we will create four

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points using the new point method and then walls these points have been added to the object then or

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we just say this object to K.M. fall.

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Great.

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Let's serang now.

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We have a natter.

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So the matter has to do with the long.

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And of course of passage for the wrong name because the correct name is what we did.

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Great.

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Let's take you to go now and let's check the camel fall.

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So now we should expect four points in the fall.

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And that's how it is going.

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This lecture we leveraged to series of data to create K.M. fall.

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You may never have to create a game of force in your life but you may have to process as it falls.

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The Panda's library is a great library for that.

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And here you saw how to efficiently eatery through the rows of all.

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So I hope you learn something from this lecture and see you in the next lecture.