Here even so in this video we are going to learn that how we can use the Met locally.
So I have a notebook here on the anaconda navigator.
Now if you want to save these notebook that's the thing I'm not saving these notebooks.
You can just save them or you can download them.
Now first of all Megaupload is a library so we intend to import that one.
So first the syntax is required to use these libraries.
That is met bloat.
So to import Megaupload live.
And with that we need not be a plot for uploading the data in form of graphs and import.
This one as BLT chapter.
And there we go descendants of six fully people it is a common word visionary powerful for Megaupload
type of things like for pandas we have billion and people but also we need to have name b because we
are going to work with data and let we also import upon us if we knew that one.
So here we go with this line we are not going to end this one after this.
Now here we have first to have any graph like we need to have some data first.
So let me create some data by using the name B.
So most common one is like I have a linearly spaced added that is beginning from zero and goes up to
20 and have like let this one up to 10 and have 20 points in Dedmon.
If you print X1 you have dismissed all the linearly spaced points.
Then we have another one that is like Y is equal to X. star x and then we go with that one also.
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
plus y.
Now print Z you will get that one.
So here we go with three details here not upload these details on graph you require a simple syntax
that is like if you want to have a go of x and y so just use BLT.
This one that we have the library imported so BLT dot and then we use block because we are going to
load these values and panties in pencil is just straight the values like X and Y.
Here I go.
Nicole this one you can also check this go like this one is correct or not like these values are in
points.
So if I do X comma X I will get a straight girl that is this one here because all the values at every
point are equal and for equal values like Y is equal to x we always have a straight line.
So this is all you can also check that either your library is working completely fine or not now after
that in this one.
Like this thing I have exclaim Oh.
I have this one.
You can also share values more here like X my X sorry excuse my X again.
I got this one extra day.
So let me know that.
Now we have this one.
So you will get two cups but there this one is a little different from what we have expected.
But if you properly notice on this graph so and have a look at this one like here if you notice this
curve is going up but because it has value hundred on ten maybe that one.
I don't know how this got 200 or that light because the tenth values.
And when we do VI X start X is it will be hundreds.
So the point at this one is ten and hundred.
But if we consider the second line that is X go my X that has equal values on every point like one then
this one also here if you notice is Ben because this one is 20.
This on Y is degree sort of increased.
And on X it's same.
So that's why this is nearly like the not on the middle that we have expected like that.
Let me show you like this one.
That one is a little different.
So that's because of the values of first curve.
That is DMA.
So I hope you get the idea now that all this effort and you can also add another points here like why
my ex.
You will have this one here if you notice this curve on orange one it ends up here.
That's because the maximum value of existence which is now here because x axis is now also increased
on the last we have maximum 10.
Now we have hundred because we also require that VI on x axis and by values maximum hundred and x values
maximum.
Then like here this 110 and this one is hundred.
So that's how in a single B B Altidore Come on you can plot any number of costs that depend on you.
You can also have here like X Como Z.
So here I have no four cups.
So it doesn't matter how many you are plotting you can use a single graph to plot as many as you want.
So I hope you got the idea.
After that.
Let me remove the X Dragon here and we have this simple.
Now this graph looks like a simple graph.
It doesn't have any x's on X and Y and nothing about the graph.
So if you give this graph to anyone I believe no one can understand that on that but these things denoting
if you have ever seen any graph then you always notice that there is something on x x is like time frequency
and something on why X is also.
So these things are known as labels and regionally make them like BLT BLT is used everywhere because
we are using the Metro reliability just like we have used BD in case of pandas and and in case of numbers.
So that's what we have BLT.
Also there are an interval of plotting these graphs by using a different attribute here that we're able
to teach you in next videos.
So here we have BLT dot.
And then if you want to have x level just x level and then like this one is x axis.
So here we go.
The.
If you notice this one we have got this x axis and a statement here.
After that for y axis we have been studied y label that is this one.
Now this one is y axis and then it will be displayed if you want to have title for this graph.
Then again BLT dot title and something title like and necessity graph.
And that is what we have here.
You will get unnecessary here because this is something that have no sense.
So I hope you get the idea that how these folks.
I will not stress the video much known because it will be boring then.
So that's about the plotting the data and graphs and how you can prove them.
So thanks for watching and we will continue in the next video.