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Hey everyone.

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So in the last few days we have covered the cities in the studio.

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We are going to cover the data frames so generally in my opinion data plumes are just defames of cities

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or we can see that a number of cities with sharing common index.

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That's what you are going to know here.

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That is the first let me have few lists.

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That is something like first I have a diskette really and this one one two three and four then I have

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the

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five six seven eight 10 C 9 0 1 2 then the this one me let me capitalize this one and this one also

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then we have a deal that will be one two three four five and six then we have e this one equal to seven

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eight nine and again zero.

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That's it.

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Now to define the data frame we just use but let we have a variable that is deaths.

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Who did everything in a common variable for the difference and we do something like baby don't and just

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like series here we write data frames in which these capital and F is also capital in frame.

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So make should be an effort to capitalize.

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Then we have here we will define.

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If you just press shift tab you will get the option that first you define data that indexed in columns.

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So here first you will need to have the data and other data is going to be a list and not a single list.

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All these lists in a single list because a data frame consists of many list as I have told you frame

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of cities.

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So this one is going to have many cities and we just try to hit a common be comma C comma deep coma

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e then we will pass the we can say that these rows that is ABC D and E again here Mayor funding I am

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not passing the this variable I am passing just ABC the old for more community let me pass small a b

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c b e all these are characters.

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So I will have to give them a.

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So there will be strings no one common mistakes students do defining this thing and they do this thing

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all the time.

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Here count the number of elements we have four elements.

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So we are going to have four columns.

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Here we have five lists.

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So here we are going to have five rows.

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So number of list number of rows.

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So just after the data you need to have same number of characters or whatever your index is as you have

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a number of lists.

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After that you will pass columns that is like

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W X Y and Z.

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Now here these four stands for all the four elements of every list.

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That is the columns.

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Now if you have written and tried to print def that is DFA him you will get this thing.

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This is a data thing W X Y Z the columns ABC the E then draws.

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And here you have all the list element here.

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One two three four five six seven eight.

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Most of these students do this mistake like on this one.

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They first write the column and then they own more much understanding then this one is they do this

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thing like they defined this one up to B and add another string here and that is there is something

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like Here we have five rows ABC.

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So they go for this one and then you do this thing you will get added that error is denoting like you

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have more number of in columns and less number of indexes compared to the data.

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So make sure this one here.

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The things are changing here via humans.

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Now here we go with this one.

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So here is of a data free.

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So this is how you can create a data frame.

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There are few more things or a few basic things that by a bit you can create a different.

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That is why using the random numbers any random data but I pray for you to go for selective data lists

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to study the data frames.

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But one thing that I have discovered here that is out of slaves once in a video I have told you that

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by we cannot print the images.

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So here I go that how you can print images.

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So just press control come on and spacebar you will get images there.

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You can add any of these images like this one here and one more thing.

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This one is a string you need to pass the course there.

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If you try to pass like this thing she read and enter.

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She saw the issue of freedom.

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You will get the index header this invalid character identifier.

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So that's all you can also print the more Jews in your code.

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And I think this one is the thing that is taught only in this course.

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No one is going to teach you how to print the images.

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So no.

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That thing this is very important.

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And then with these data frames with the images you can also do something like that.

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We have some fun there.

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That is

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the thing here.

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Here I have this one

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why it's not getting the So here we go with this one and just another one.

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What's this.

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So let we have something like a monkey and then we have

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another thing that is any and Chip.

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One more thing.

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Now if you do this thing you will get it because these are strings again.

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So make sure to pass these things there.

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So here we have this one.

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Then again courts

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and just copy despite.

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Come on.

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See.

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Come on V.

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Come on V.

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And two more to go.

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Come on V.

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Come on V then.

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Here we go.

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We had a different kind of data frame.

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That is something you are never going to create.

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And I believe none of you have created this one.

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So you can also analyze the data that these are the good one normal one.

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Horses for stronger one and takes for a new one.

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So in order for the data frames and visually the frames that denote some symbols.

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So thanks for watching.

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And you can also do these things see in the next video.