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Here even so in this video we are going to learn that how we can use the Met locally.

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So I have a notebook here on the anaconda navigator.

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Now if you want to save these notebook that's the thing I'm not saving these notebooks.

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You can just save them or you can download them.

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Now first of all Megaupload is a library so we intend to import that one.

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So first the syntax is required to use these libraries.

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That is met bloat.

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So to import Megaupload live.

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And with that we need not be a plot for uploading the data in form of graphs and import.

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This one as BLT chapter.

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And there we go descendants of six fully people it is a common word visionary powerful for Megaupload

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type of things like for pandas we have billion and people but also we need to have name b because we

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are going to work with data and let we also import upon us if we knew that one.

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So here we go with this line we are not going to end this one after this.

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Now here we have first to have any graph like we need to have some data first.

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So let me create some data by using the name B.

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So most common one is like I have a linearly spaced added that is beginning from zero and goes up to

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20 and have like let this one up to 10 and have 20 points in Dedmon.

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If you print X1 you have dismissed all the linearly spaced points.

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Then we have another one that is like Y is equal to X. star x and then we go with that one also.

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If you've been y you will get is one then we have another one that is Z equal to and this one like x

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plus y.

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Now print Z you will get that one.

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So here we go with three details here not upload these details on graph you require a simple syntax

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that is like if you want to have a go of x and y so just use BLT.

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This one that we have the library imported so BLT dot and then we use block because we are going to

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load these values and panties in pencil is just straight the values like X and Y.

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Here I go.

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Nicole this one you can also check this go like this one is correct or not like these values are in

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points.

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So if I do X comma X I will get a straight girl that is this one here because all the values at every

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point are equal and for equal values like Y is equal to x we always have a straight line.

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So this is all you can also check that either your library is working completely fine or not now after

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that in this one.

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Like this thing I have exclaim Oh.

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I have this one.

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You can also share values more here like X my X sorry excuse my X again.

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I got this one extra day.

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So let me know that.

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Now we have this one.

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So you will get two cups but there this one is a little different from what we have expected.

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But if you properly notice on this graph so and have a look at this one like here if you notice this

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curve is going up but because it has value hundred on ten maybe that one.

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I don't know how this got 200 or that light because the tenth values.

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And when we do VI X start X is it will be hundreds.

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So the point at this one is ten and hundred.

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But if we consider the second line that is X go my X that has equal values on every point like one then

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this one also here if you notice is Ben because this one is 20.

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This on Y is degree sort of increased.

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And on X it's same.

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So that's why this is nearly like the not on the middle that we have expected like that.

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Let me show you like this one.

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That one is a little different.

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So that's because of the values of first curve.

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That is DMA.

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So I hope you get the idea now that all this effort and you can also add another points here like why

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my ex.

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You will have this one here if you notice this curve on orange one it ends up here.

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That's because the maximum value of existence which is now here because x axis is now also increased

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on the last we have maximum 10.

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Now we have hundred because we also require that VI on x axis and by values maximum hundred and x values

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maximum.

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Then like here this 110 and this one is hundred.

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So that's how in a single B B Altidore Come on you can plot any number of costs that depend on you.

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You can also have here like X Como Z.

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So here I have no four cups.

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So it doesn't matter how many you are plotting you can use a single graph to plot as many as you want.

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So I hope you got the idea.

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After that.

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Let me remove the X Dragon here and we have this simple.

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Now this graph looks like a simple graph.

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It doesn't have any x's on X and Y and nothing about the graph.

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So if you give this graph to anyone I believe no one can understand that on that but these things denoting

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if you have ever seen any graph then you always notice that there is something on x x is like time frequency

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and something on why X is also.

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So these things are known as labels and regionally make them like BLT BLT is used everywhere because

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we are using the Metro reliability just like we have used BD in case of pandas and and in case of numbers.

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So that's what we have BLT.

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Also there are an interval of plotting these graphs by using a different attribute here that we're able

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to teach you in next videos.

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So here we have BLT dot.

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And then if you want to have x level just x level and then like this one is x axis.

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So here we go.

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The.

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If you notice this one we have got this x axis and a statement here.

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After that for y axis we have been studied y label that is this one.

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Now this one is y axis and then it will be displayed if you want to have title for this graph.

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Then again BLT dot title and something title like and necessity graph.

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And that is what we have here.

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You will get unnecessary here because this is something that have no sense.

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So I hope you get the idea that how these folks.

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I will not stress the video much known because it will be boring then.

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So that's about the plotting the data and graphs and how you can prove them.

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