Here.
Even so now we are done with the point goats.
And now we are going to move on line plots again this classification is not official.
This is just my classification.
Now here in the landlord's again the same thing.
Provide the data set then bloat and then provide divine you want to have like line.
If I able to probe the line Protea just shifted on you will get this.
This is pretty easy then the one that we have done before we met broadly and.
And here this one is a mess.
If you notice you can also plot any particular value like if I need to plot only the first column I
will have this only the first call if I have the C I have the third column.
If you can have a form in which we have only tendrils then you will get different 5 columns and values
are up to 10 0 9 and 0 2 9 10 values data.
So this is how you can plot decline codes.
And this is how you can float any particular column.
So if you notice this one here it has a value of zero point two and 4.
And if you bring the four then you'll find that own four.
This one is a we have zero point one two and this is something like zero point one two approx data.
So this is the line proxy.
And again I just need to show you that what they are and how do up there are different kinds of lines
like we have kiddie blocks also here.
If you write KDE you will get code like lines in these lines and if you do this one with third it would
have this one up to a particular value and then if you do this one with the B F. You will get all the
three values of a Labor layer like the total bill column type column and decide column and decode related
to that one.
And if you do the up to here it will automatically have the values that are numerical index 1 and they
will be here but there's a key error and also the output is here.
So this is just a warning there after that.
Now let me move within DFT.
There's another one known as density go oh it's upload there with named density and this is similar
to the Getty.
If you notice there's no difference in them and you can also do the same thing here like a only difference
to go see only this third go.
So this is an orderly line but that all you can have the plots in which we have lines denoting the particular
distributions that we are just left with the distribution and figure plots that we is a little important
go for that one because these two are just basic and I have told you this one like and.
And then what have you because you are already familiar with these things so did you not require much
introduction.
So thanks for watching and we will continue in the next video.