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Here.

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Even so now we are done with the point goats.

3
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And now we are going to move on line plots again this classification is not official.

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This is just my classification.

5
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Now here in the landlord's again the same thing.

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Provide the data set then bloat and then provide divine you want to have like line.

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If I able to probe the line Protea just shifted on you will get this.

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This is pretty easy then the one that we have done before we met broadly and.

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And here this one is a mess.

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If you notice you can also plot any particular value like if I need to plot only the first column I

11
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will have this only the first call if I have the C I have the third column.

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If you can have a form in which we have only tendrils then you will get different 5 columns and values

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are up to 10 0 9 and 0 2 9 10 values data.

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So this is how you can plot decline codes.

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And this is how you can float any particular column.

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So if you notice this one here it has a value of zero point two and 4.

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And if you bring the four then you'll find that own four.

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This one is a we have zero point one two and this is something like zero point one two approx data.

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So this is the line proxy.

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And again I just need to show you that what they are and how do up there are different kinds of lines

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like we have kiddie blocks also here.

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If you write KDE you will get code like lines in these lines and if you do this one with third it would

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have this one up to a particular value and then if you do this one with the B F. You will get all the

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three values of a Labor layer like the total bill column type column and decide column and decode related

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to that one.

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And if you do the up to here it will automatically have the values that are numerical index 1 and they

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will be here but there's a key error and also the output is here.

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So this is just a warning there after that.

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Now let me move within DFT.

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There's another one known as density go oh it's upload there with named density and this is similar

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to the Getty.

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If you notice there's no difference in them and you can also do the same thing here like a only difference

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to go see only this third go.

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So this is an orderly line but that all you can have the plots in which we have lines denoting the particular

35
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distributions that we are just left with the distribution and figure plots that we is a little important

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go for that one because these two are just basic and I have told you this one like and.

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And then what have you because you are already familiar with these things so did you not require much

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introduction.

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So thanks for watching and we will continue in the next video.