All right, everyone.
So let's continue our discussion with working with the ticker.
No, I'm going to read one fine.
That is nothing but a tax fine.
So for that, let us applaud this particular fight and to applaud it.
Just click on this file upload and we have a movie reviews, not peace we find.
So let me just click on it.
Gokey.
And he loses that inspiration.
This particular flight should appear here.
Still, it's uploading.
So just wait for some time to upload finish.
All right, so now you can see new movie reviews.
Yes, we finally got up here.
If you'll just click on it.
Most probably they will.
So some preview on right site.
And then we'll see how you can read this particular file inside of it.
Biton and Worimi.
Hopes it is started playing on my local machine that I was OK, let me open it Twitter.
Not bad.
All right.
So you can see this is a full fledged textual file is only.
And it has a two column visible.
One is a label.
And then one is that even an individual column has been segregated with staff separate.
You can see this is the tap 72.
Then the next line will start.
Here is another tab separator.
So let's see how we can really and for this particular file.
We are going to use this Pinder's liablity.
So let me start with this.
Find us.
So import Pantazis, APD and privily.
We are going to use this as a underscore C suite function.
Let me give the file name.
So in our case, the filing will be movie reviews.
Not D.C..
No.
We already know that individual record has been separated by less than an individual column here.
The Supplicate might slash D that is nothing like a tax.
So we are going to use this separate to even be let's slash to.
And let me aside to some data.
All right.
So fine reading then.
Now let us verify what data is available in this data.
Read even.
Before that, let me show you what is the type of this idea.
So that will be kind of find us data free object.
Let's see if we want to display first few records of this data.
You can use the head function.
And you will be able to see this is our first.
This is our second column.
And by default, the very first throw, it has taken its index.
So this is one of the advance find reading functions are available.
Now, one of the very important data analysis, library kindness.
If you want to get more information related to this Netafim, you can use like Neeta not.
So it will give us the information that how many rows and how many columns have there.
So will be 2000 rows are available in this data frame objects.
And there will be a two column.
Now, suppose out of this particular fight, some record I want to extricate.
And those records, I just want to say it to some other fine help picking.
So was this particular labels are either negative or it will be a positive.
So let's just extract out all those positive elements.
And to extract a positive limit, I can just simply select data labor and let's say it's equal and to
equal to those.
So that will be compared with the.
And whenever the values pass, it will return.
True.
And we are just going to grab all the data that the label will be equal as that is nothing but a positive.
Let me assign it to some other variable.
Let's see.
Beat your --.
So inside the US variable, now we have all the records that the label is positive.
Now, suppose if you're trying to.
Display forcefield Akos.
You will be able to see the only positive records exist.
Now, suppose I want to write this all positive that goes into some other files.
So earlier we use this arena in this cozy SB function.
Now we are going to use this to underscore CSC function.
And let me give you the file name.
Let's say filing will give like a force and how I want to write it.
So my sceptical will be, let's say, less.
You can use some other separator also.
Let me run it and we can verify it from here.
You can see past by God created if you just.
If you can double click on it, you'll be able to download it and we can really, you know what?
Local editor.
So it's taking good amount of time.
Open, let me go on with a very simple detail, like, let's say not pay.
OK.
And you can see the label.
So label is always people song.
You wont be able to get any other.
So you can see everything will be yours.
So that is how easily you can write Edyta inside the fight.
Now, suppose this appears Beilby created the same fight.
We want to privily so far that we are going to use this same lead in the school CSP function.
And now the new file name I want to give you like a B or S, let's say separate, that will be Celesta.
And let me assign it to some Alan.
And if they try to display this later when.
All right, so all only positive Labor's got up here.
But now one thing you may observe that there will be one more extra column headed why this happens.
Because while writing those file, this indexed column also got written.
So why is reading what we can do?
We can apply one more argument like or we can use like a very first column as the index itself.
So in next column, let's say zero column will be indexed.
So let me add only.
Our largest pipit inside the really a relatively small one.
Let me put in down.
All right, so now you can see all those unnamed column zero column will become on the index and everything
will be positive.
All right.
So that is out.
You can read such as CSB, PSV kind of file.
And that's all about this video.
See you in the next video.
We will see some more stuff related to tax.