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And welcome back to the class of our course with the complete introduction to the science with Python.

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So in this class, we are still talking about matplotlib and we are going to learn to make another type

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of graph or whatever type of graph.

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So basically what we are going to learn today is how we can create a histogram inside of matplotlib.

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So you see, it's not really complicated and the result could be really interesting.

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All right.

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So basically, the first thing that we are going to do is we will import Muttalib as we always do.

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We are going to create our little database, create our functions and finally give a title as well as

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axis name.

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So for X and Y axis name to our graph.

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And finally we'll run everything and we can even play with this idea.

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So let's start.

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So as I said, the first thing that we are going to do, we are going to import matplotlib that pipe

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plug.

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So pretty simple.

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Just write it down.

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So import my blood Leyb dot by plot as Kielty.

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So this would be the first step then, since we want to add change, the style in the future will not

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do it right now.

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So we'll not import the style model right now.

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We'll do it a bit later when we'll finish everything.

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All right.

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So right now, the first thing that we are going to do, we are going to create a database.

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So basically inside of a histogram, you need two things.

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You need a minimum of two things.

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So basically you will need your number.

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So basically how a histogram works, you need a certain amount of numbers.

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Let's say you have numbers one from one to let's say one hundred, and you have random numbers between

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those.

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This is the first step.

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So we're having the random amount of numbers that are from one to one hundred, then the same thing

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that you need.

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You need the jumps that you want inside of your histogram.

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So it could be jumps from one to 10, one to twenty, one to fifteen or whatever you guys want.

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And what it's going to do, it's going to calculate how much numbers are between zero and 10, for example,

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with you and 15 or so and 20, for example.

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So we'll try it out and you guys will understand.

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So let's write it down.

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So we see the first number that we'll have.

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Let's call it just numbers.

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So basically, this will be our first list.

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We'll call it numbers.

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And basically, here's what I want you guys to do, is simply write down random numbers that are between

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one and it could well want 100.

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So basically, you can write down as much numbers as you guys want.

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It's just, for example, purposes.

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And those numbers could be any numbers that you want.

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So just don't make a mistake and write down two or three commas because it's not going to be really

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nice.

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So here we go.

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I think I have enough numbers.

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All right.

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Next thing I want to do is we need jumps.

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So basically we want jumps of five one jumps of 10, one jumps above.

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We decide what type of chance of jumps that we want.

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And basically this would be how our histogram will be wide or small, basically.

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So let's write it down.

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So basically here, let's call it jumps.

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So let's write it down, so basically for jumps would be somewhere between, let's say it's going to

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be from one to 15, so write it down.

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So it's going to be zero.

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Then we'll have 15.

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Then we'll have 30.

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Then we'll have 45.

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Then we'll have 60, 70, five, nine.

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And finally, one hundred and five.

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All right.

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So right now we have our numbers and we have our jumps.

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The next thing that we need to do is pretty simple.

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We need to create a title for our histogram or our graph.

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So, as always, will create a title.

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So let's call it in this case or the title.

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And here let's call it we can call it whatever you want.

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I'll call it the test.

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One is since we're making a histogram in this case.

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All right, then we will need the label.

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So basically for Xs we'll need a label for why it's illegal.

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So that, as always, X label.

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So how we want to call or exs, let's call it test X.

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Label and for whites, it's going to be pretty much the same thing, so Kielty that white label.

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And we'll call it test y label here.

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So we have everything that we need.

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So basically until now, we have everything that we need to be able to create our histogram.

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Now it's time to run everything and to see what it all looks like.

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So basically to run everything, simply write down that show as we always do, open and close the parenthesis

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and you can run everything.

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So here we go.

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Oh, we forgot a little part of the code, so we need to write down the functions that we make everything

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work.

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So basically without this function, nothing would work.

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It's pretty simple.

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So we need to write down our function for our histogram.

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So Kielty, in this case, that highest.

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So when we have our function for a histogram and how exactly works.

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So basically there are four arguments inside of it, but we are only going to write down three arguments,

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which would be so the first argument is pretty simple is the numbers that we have.

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So basically all the numbers that we have here and in this case will just write down the numbers.

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The second argument will be the jumps that are histogram inside of histogram will happen.

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So basically we will have jumps of 15 in this case.

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So our second argument will be jumps.

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The third argument will be the histogram type.

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So basically, what is the type of histogram that we have?

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So we see there are plenty of types of histogram that exist.

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So we'll use Bari's for steps.

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Obviously, this would be the two types of histogram that we are going to see today.

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But if you guys want to learn some more types of histogram, you can just Google it.

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You'll receive all the histogram types that exist.

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So let's write it down.

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So it's going to be the highest type.

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It's the one right here.

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And from this moment, we'll just write down, for example, bar since we want to receive burse.

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And basically, this is the type of Instagram that will receive by default, so just right, no.

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All right.

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So when we have everything, Suzanne, right now, we have absolutely everything we have our database

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for right here.

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We have our title right there.

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We have our function right here that is ready to be run.

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And finally, we have our potential so we can run everything and see what it looks like.

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So you can see this is what our Instagram looks like.

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So basically, we have this one, Instagram, which is the name of our Instagram.

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We have the white label right here.

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We have the X label right here, as we said.

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So basically the X axis and the Y axis.

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So our Instagram is pretty much ready and works well.

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If you want to change the jumps, we can change the jumps right here.

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If we want to change the numbers that we have, we can do it right there.

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And basically what we can understand from this Instagram, for example, if we look from zero to 15,

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we know that there is five numbers that are between zero and 15.

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We know that there is nine numbers that are from 15 to 30.

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And we know that there is only one number that is between 30 and 45.

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This is what we understand from this Instagram when I'm talking about histogram type.

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So as I said, we have bars, but we have plenty of others.

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So another one that is really interesting would be the Steph.

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Works pretty much the same way, so you can see those are steps, it's not as well as beautiful, in

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my opinion, but once again, this is another type of Instagram that you guys can have.

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All right.

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So as always, what we can do with this type of graph, we can change the style and exactly what we'll

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do right now.

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So just for you guys to practice a little bit.

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So what we'll do, we'll just import the sub package also from my lab import stuff.

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So if we want to import the style stuff package and want to do right now is just change their style.

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So basically we will change the style by writing down style that use and from this moment, just write

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down the type of style that you guys want.

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So let's try the style and run everything to see what it all looks like.

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Right.

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As you can see, this is what it looks like with the image.

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So the graph becomes a little bit different.

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So as you can see, this is how you guys can generate a histogram inside of Python with the use of matplotlib.

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And once again, this is a powerful tool.

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What the histogram is a powerful tool to be able to help you visualize your data.

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So it's a process that goes into our next class.