1 00:00:06,070 --> 00:00:11,510 Even so in this video we are going to upload a simple quote in the last year we have set up the total 2 00:00:11,510 --> 00:00:12,420 buy in cufflinks. 3 00:00:12,420 --> 00:00:14,890 Also we have set up to data points. 4 00:00:14,940 --> 00:00:15,950 That is with the same name. 5 00:00:15,960 --> 00:00:19,100 So change this name you have to end on this again. 6 00:00:19,180 --> 00:00:24,390 Now we will plot our basic plot in which the data is plotted in form of points so that we can have a 7 00:00:24,390 --> 00:00:26,090 basic idea that how debug. 8 00:00:26,160 --> 00:00:27,720 And then we can use them for them. 9 00:00:28,650 --> 00:00:36,600 So we will begin with a scattered plot and simply the first data frame then instead of using plot we 10 00:00:36,600 --> 00:00:45,820 use a plot that is ineffective then fences and there we just need to pass a kind equal to the asset 11 00:00:46,320 --> 00:00:47,120 in quotes. 12 00:00:47,670 --> 00:00:52,250 And if you do that when you get a line block and if you notice given of a move I move my goals. 13 00:00:52,350 --> 00:00:55,570 I get these values of particular lines. 14 00:00:55,830 --> 00:00:59,790 So some students are thinking that we need to do some coding at that particular point. 15 00:01:00,240 --> 00:01:01,440 So to have these values. 16 00:01:01,440 --> 00:01:02,850 But this is very simple. 17 00:01:03,000 --> 00:01:08,970 You just need to have a block and a few libraries in your program. 18 00:01:09,300 --> 00:01:18,960 After that if I pass here x equal to A and Y equal to be so that it will be like a side note. 19 00:01:18,960 --> 00:01:27,070 But what you'll find here is something like a mesh system in which each point is doing by and into like. 20 00:01:27,140 --> 00:01:31,370 So this is a scattered plot but all the points are join with each other. 21 00:01:31,370 --> 00:01:38,790 You can remove these lines by just setting up the mode equal to Marcus. 22 00:01:38,910 --> 00:01:39,890 David go with that one. 23 00:01:40,220 --> 00:01:42,770 Now the points are not join with each other. 24 00:01:42,860 --> 00:01:44,450 Here we have only the values. 25 00:01:45,800 --> 00:01:51,530 So this is how you can upload a simple plot and that is really effective. 26 00:01:51,550 --> 00:01:56,280 Here you can see whenever I move my closer to any position I will have a value there. 27 00:01:56,690 --> 00:01:59,960 Also this x axis value are also changing. 28 00:02:00,060 --> 00:02:04,060 Look when I move towards one and get increase a positive win nine nine. 29 00:02:04,070 --> 00:02:08,870 And here it is zero point six seven between zero point six and eight. 30 00:02:08,930 --> 00:02:12,420 So that's I how you can do this thing. 31 00:02:12,530 --> 00:02:17,780 You can also increase the size of these things like if you are getting these something larger than we 32 00:02:17,780 --> 00:02:18,630 have to here. 33 00:02:18,710 --> 00:02:26,900 But the weakness begin based small and normal one then we have here approximately seven. 34 00:02:26,900 --> 00:02:29,710 So David go with that one but that size. 35 00:02:29,740 --> 00:02:32,680 So that's how you can have these plots. 36 00:02:32,740 --> 00:02:39,490 You can even zoom this close to get the values at particular points and that means zoom out and you 37 00:02:39,490 --> 00:02:47,980 can also do something like click here and select particular idea that will get zoomed there so that's 38 00:02:47,980 --> 00:02:52,330 why they are really interactive on clicking order scale you will get the original one. 39 00:02:53,140 --> 00:03:01,110 And at any position you need to analyze just select that portion that will be zoom in here on the complete 40 00:03:01,110 --> 00:03:02,540 screen. 41 00:03:02,540 --> 00:03:06,140 Now again get to two scale one more. 42 00:03:06,140 --> 00:03:17,180 I need to show you him so that you will get a little more idea that the F dopes ghetto underscored metrics 43 00:03:17,780 --> 00:03:25,690 to plot different combinations of points like B applaud that we have done before by doing this one you 44 00:03:25,700 --> 00:03:34,620 will get something that is processing here and until then so do we go with that one. 45 00:03:35,180 --> 00:03:41,780 So here we have different combinations of all the points like we have five values in our data frame. 46 00:03:42,480 --> 00:03:44,010 So ready five columns. 47 00:03:44,270 --> 00:03:49,250 So here five values on diagonals and then the pair of each of them. 48 00:03:50,570 --> 00:03:55,630 So that's all you can have a different type of scatter metric type plot. 49 00:03:55,790 --> 00:04:00,980 So this is how you can plot simple plots by using plural y in cufflinks in the next video we'll move 50 00:04:00,980 --> 00:04:04,060 to some more interesting and modified plots. 51 00:04:04,070 --> 00:04:04,880 So thanks for watching. 52 00:04:04,880 --> 00:04:06,450 See you in the next video.