1 00:00:05,460 --> 00:00:06,110 Hey everyone. 2 00:00:06,650 --> 00:00:12,540 So here the plot in which figures are generated like his arms and boxes like that one. 3 00:00:12,650 --> 00:00:14,390 So let's continue with that. 4 00:00:14,930 --> 00:00:19,400 So in that we have various kinds of plots and we begin with histogram. 5 00:00:19,840 --> 00:00:31,030 So first let me move it the f 4 because that one is little one and therefore no plot and then the plot 6 00:00:31,030 --> 00:00:33,530 you need like histogram. 7 00:00:33,530 --> 00:00:34,790 There we go with that man. 8 00:00:34,820 --> 00:00:36,190 You will find this. 9 00:00:37,460 --> 00:00:46,640 So here blue denoting a which is overlapped by others and we have B C D and E and you can also do d 10 00:00:46,640 --> 00:00:47,960 by simply just 11 00:00:50,510 --> 00:00:57,520 doing this thing you will get the histogram for all the different values like for a here B here. 12 00:00:57,530 --> 00:00:58,100 See here. 13 00:00:58,100 --> 00:01:00,360 B here at E here. 14 00:01:00,500 --> 00:01:05,930 So with the note that money and then method for that one is just right here the particular column like 15 00:01:06,050 --> 00:01:13,600 a I will have for a if you have a b c you have food then. 16 00:01:13,640 --> 00:01:20,180 So this is how you can have the bar graph for different plots and if you do hear something like this 17 00:01:20,180 --> 00:01:32,210 one here we have an interval in the ship Krypton you will get for two columns like C and D here and 18 00:01:32,210 --> 00:01:37,840 you can have any number of column so we'll know a little bit more distant now. 19 00:01:38,780 --> 00:01:47,660 So I hope you got the idea that how you can put the histogram and there you go again to D this one now 20 00:01:47,690 --> 00:01:59,490 another one here is the BART block and if I do this one did blow it but I will have a bomb plot here 21 00:01:59,570 --> 00:02:04,780 we have this one so I think this is pretty visible here. 22 00:02:04,840 --> 00:02:10,390 We have all default values and equal spending values on x x and y axis. 23 00:02:10,390 --> 00:02:14,080 And let me have this one in a different line. 24 00:02:14,080 --> 00:02:15,090 Here we have this one. 25 00:02:15,170 --> 00:02:16,570 But before that one more thing. 26 00:02:16,570 --> 00:02:22,300 If you do this thing with the third data frame you will have this one because we have a number of values 27 00:02:22,300 --> 00:02:23,060 there. 28 00:02:23,140 --> 00:02:28,210 You can also do this one with DFA one the first data frame in which we have three variables. 29 00:02:28,360 --> 00:02:29,670 And same with the app. 30 00:02:31,060 --> 00:02:35,650 So that's why I have included all the values there so that you will get to know that all the values 31 00:02:35,650 --> 00:02:37,540 can be printed easily. 32 00:02:37,570 --> 00:02:38,790 Here we have this float. 33 00:02:38,800 --> 00:02:45,490 And if I do this one with the third one you will see a pretty mess figure there. 34 00:02:45,520 --> 00:02:52,360 Let me process this one takes a little time because the values are in number of hundreds and if I do 35 00:02:52,360 --> 00:02:55,390 that one of the tips that maybe a little notebook. 36 00:02:55,390 --> 00:02:59,640 So here you can see a pretty mess there. 37 00:02:59,740 --> 00:03:04,780 The values and the x axis is not visible. 38 00:03:05,650 --> 00:03:12,010 So this is the plot here and you can also do this one for particular columns like a I have only for 39 00:03:12,100 --> 00:03:16,720 a little the values from 0 to 9 and their particular values. 40 00:03:16,750 --> 00:03:21,160 You can also check these values just by appending DFL here. 41 00:03:21,180 --> 00:03:29,440 He had this one and after this plot we have entire block that is unit the area block that is used in 42 00:03:29,440 --> 00:03:33,630 most of the cases and I forget to block them. 43 00:03:34,240 --> 00:03:37,330 So bloat not 80. 44 00:03:37,360 --> 00:03:38,590 Here we have this one. 45 00:03:40,030 --> 00:03:47,170 So this shows the girls up and down in form of 80 hours denoting ABC TV's 8 and E. 46 00:03:47,690 --> 00:03:48,420 Here these. 47 00:03:48,430 --> 00:03:49,600 So these are a little darker. 48 00:03:49,600 --> 00:03:57,890 You can make them like visible after this one not because it is transparent by setting up alpha. 49 00:03:58,300 --> 00:04:04,330 So this is a parameter here that is L.P. a chain and its value vary from 0 to 1. 50 00:04:04,330 --> 00:04:07,700 So if you provide zero point five here they will be like that. 51 00:04:07,930 --> 00:04:13,330 If you do hear zero point one they are nearly like transparent completely. 52 00:04:14,170 --> 00:04:15,260 So this is the area. 53 00:04:15,730 --> 00:04:27,250 And I have only one thing that if you use Rand and here and in the network then they will not look like 54 00:04:27,250 --> 00:04:34,090 if I do this one and if I now try to upload this one I will get at it because the upload only shows 55 00:04:34,120 --> 00:04:37,320 either the positive values or negative values here if you checked out the error. 56 00:04:37,330 --> 00:04:41,620 This will be also like either all the positive or negative. 57 00:04:42,340 --> 00:04:47,580 So make sure you are not using and therefore getting the random values. 58 00:04:47,620 --> 00:04:49,580 And this one also. 59 00:04:49,690 --> 00:04:52,150 And now if you on that one. 60 00:04:53,230 --> 00:04:55,550 Here we have this one I would have the output. 61 00:04:56,350 --> 00:04:58,110 So this is the area. 62 00:04:59,530 --> 00:05:08,500 And after that we have also done with the bar code and with that one another one for printing these 63 00:05:08,500 --> 00:05:14,570 plots is like if I have the F for not float and I need to upload any of these plots like if I need to 64 00:05:14,570 --> 00:05:20,330 upload this histogram in another way and I forget to mention it while discussing this one. 65 00:05:20,350 --> 00:05:28,700 So this is like if I have this one and then you can just do something like Here dot float and inventors 66 00:05:28,870 --> 00:05:30,380 you can provide the kind. 67 00:05:30,510 --> 00:05:32,460 Like here I need histogram. 68 00:05:33,010 --> 00:05:38,530 So just hist there and there we have the same output. 69 00:05:38,530 --> 00:05:42,270 You can do with any data here. 70 00:05:42,310 --> 00:05:47,090 This is for data for so this midterm. 71 00:05:47,300 --> 00:05:54,380 So then after that we have another plot that is the box plot that is the most interesting one I believe 72 00:05:54,380 --> 00:06:03,110 in its figure that is just d for plot and box here you have this one so you can also do the same thing 73 00:06:03,110 --> 00:06:14,750 with like here I have if a column I have only one and if you do the same with the F three you will have 74 00:06:14,750 --> 00:06:15,260 this one. 75 00:06:16,160 --> 00:06:20,250 And for b f 2 or 1 you will have like this one. 76 00:06:21,230 --> 00:06:23,120 So this is the box block. 77 00:06:23,660 --> 00:06:29,000 Now in the last my favorite one that is the one that have that hexagonal type of figures. 78 00:06:29,030 --> 00:06:34,700 So that is the hex plot and we can pull that one just and we are going to do up on here right now. 79 00:06:34,910 --> 00:06:35,660 I will tell you why. 80 00:06:36,350 --> 00:06:43,140 So do you ever wonder plot and then we have hex bean and branches. 81 00:06:43,200 --> 00:06:53,300 You need to pass some parameters like total underscored bill and then we have Y equal to the day we 82 00:06:53,300 --> 00:06:55,670 go but the figures are very small. 83 00:06:55,670 --> 00:07:03,880 So you can increase the crude size just grade size and value like let me try 10. 84 00:07:03,890 --> 00:07:04,600 So there we go. 85 00:07:04,670 --> 00:07:06,030 The tip of that size. 86 00:07:06,440 --> 00:07:11,170 You can also choose the color by just using C map. 87 00:07:11,270 --> 00:07:20,160 Dave we have this one good additional looking which could not be settled by default. 88 00:07:20,750 --> 00:07:22,310 And this is this one. 89 00:07:22,490 --> 00:07:27,330 And if you do this one fourth one you will have an ETA. 90 00:07:28,250 --> 00:07:36,020 And if you do this one the day third one you will again her head of the articles is not because this 91 00:07:36,020 --> 00:07:42,100 is a that because I am using here total bill and that contains only ABC. 92 00:07:42,920 --> 00:07:45,690 So here we have a and here we have B. 93 00:07:45,860 --> 00:07:50,340 So nine people are dead one you will have this graph and it falls. 94 00:07:50,690 --> 00:07:55,730 I have this one with full vigor that I am not using for it because it has only fuel because you can 95 00:07:55,730 --> 00:08:01,020 use third letter an a little and a little bit lie. 96 00:08:01,100 --> 00:08:05,930 Map right now here maybe it will look pretty good. 97 00:08:07,250 --> 00:08:09,040 So there we go but not good. 98 00:08:09,710 --> 00:08:11,270 So thanks for watching. 99 00:08:11,270 --> 00:08:16,970 This is all about these plots that how you can blow the data by using the PAN does and I think you find 100 00:08:16,970 --> 00:08:22,010 this one more easy but for those libraries they are more efficient. 101 00:08:22,070 --> 00:08:23,950 So thanks for watching. 102 00:08:23,960 --> 00:08:25,910 See you in the next module.