1 00:00:00,720 --> 00:00:01,900 Excellent, excellent. 2 00:00:01,920 --> 00:00:03,660 I knew I could count on you. 3 00:00:04,260 --> 00:00:05,130 Hello, dear friends. 4 00:00:05,580 --> 00:00:09,770 So you remember that we learned how to customize our figure in matplotlib library. 5 00:00:09,780 --> 00:00:15,270 So in this lesson, we're going to learn how to customize our graphic and matplotlib library. 6 00:00:15,750 --> 00:00:16,680 So let's get started. 7 00:00:18,420 --> 00:00:23,610 As always, we will need to import our library's first import numpty as N.P.. 8 00:00:26,360 --> 00:00:30,200 Import matplotlib, DCPI, plot as peel tea. 9 00:00:34,860 --> 00:00:40,410 And, of course, we will need to end a romantic statement for displaying our plot outputs inside the 10 00:00:40,410 --> 00:00:45,360 Jupiter notebook itself, precent matplotlib in line. 11 00:00:48,480 --> 00:00:55,230 OK, so now we can define our array object, so this time we will use some random values to create our 12 00:00:55,230 --> 00:01:00,810 object X equals and put out random dot rand end. 13 00:01:02,470 --> 00:01:04,300 One, 12, five. 14 00:01:07,620 --> 00:01:08,730 Y equals. 15 00:01:10,360 --> 00:01:12,820 And beat out random that ran and. 16 00:01:14,630 --> 00:01:16,520 One, 10, five. 17 00:01:18,110 --> 00:01:19,400 So our razor ready. 18 00:01:19,760 --> 00:01:25,460 And as you know, if we can use the random method, our variables will always have different values. 19 00:01:25,460 --> 00:01:30,860 So it means that of your arrays are different than mine, which they will be. 20 00:01:30,890 --> 00:01:31,670 Don't worry about it. 21 00:01:32,270 --> 00:01:32,600 All right. 22 00:01:32,600 --> 00:01:33,350 So let's move on. 23 00:01:34,810 --> 00:01:38,770 So let's define our figure object figure equals plot, not figure. 24 00:01:43,520 --> 00:01:46,610 And define our axes, axis equals. 25 00:01:48,290 --> 00:01:49,160 Figure Dot. 26 00:01:50,420 --> 00:01:51,770 And axes. 27 00:01:55,060 --> 00:01:57,400 Zero zero one one. 28 00:01:58,740 --> 00:02:03,120 So now let's draw our plot axes, dot plot. 29 00:02:05,060 --> 00:02:07,430 X y two. 30 00:02:08,670 --> 00:02:11,340 All right, let's run the code and there's a result. 31 00:02:12,480 --> 00:02:14,220 So let's change the color. 32 00:02:14,700 --> 00:02:15,240 I don't know. 33 00:02:15,250 --> 00:02:17,640 Green color equals green. 34 00:02:21,350 --> 00:02:22,160 So what else? 35 00:02:23,030 --> 00:02:28,280 Well, with the help of line with as our parameter, we can change our plot width. 36 00:02:28,760 --> 00:02:29,720 So let's try that out. 37 00:02:31,200 --> 00:02:32,880 Line with equals four. 38 00:02:36,640 --> 00:02:37,180 What do you think? 39 00:02:38,910 --> 00:02:43,740 All right, so we can also briefly write LW instead of line with. 40 00:02:45,720 --> 00:02:47,130 LW equals four. 41 00:02:48,200 --> 00:02:50,630 OK, so the results are the same, but you get it. 42 00:02:51,320 --> 00:02:53,300 So what about line style? 43 00:02:53,960 --> 00:02:59,900 Yes, with the help of the line style parameter, we can change our plot style. 44 00:03:00,230 --> 00:03:02,510 So let's try that out line. 45 00:03:02,510 --> 00:03:03,890 Style equals. 46 00:03:08,730 --> 00:03:11,910 Or try this one line style equals. 47 00:03:14,560 --> 00:03:18,250 And of course, we can use the abbreviation instead of line style. 48 00:03:18,370 --> 00:03:19,420 Less equals. 49 00:03:20,980 --> 00:03:22,570 And there's the result. 50 00:03:23,940 --> 00:03:26,220 So let's specify marker. 51 00:03:27,120 --> 00:03:31,890 Well, with the help of the marker parameter, we can specify marker equals. 52 00:03:32,520 --> 00:03:35,580 And I prefer to use diamond types. 53 00:03:35,790 --> 00:03:37,380 So Dee. 54 00:03:38,630 --> 00:03:42,860 And this parameter gets as many different types of markers, if you want to check them out. 55 00:03:43,040 --> 00:03:45,140 You can visit this Web site. 56 00:03:47,720 --> 00:03:53,780 But for us, for now, for here, we can also change his markers size and, of course, its color. 57 00:03:53,820 --> 00:03:56,960 So let's try that marker size equals 10. 58 00:04:01,110 --> 00:04:04,320 And markhor face color equals red. 59 00:04:15,250 --> 00:04:21,550 So until we can define an edge color for our marker marker, edge color equals blue. 60 00:04:50,050 --> 00:04:51,700 And we'll specify the with. 61 00:04:53,860 --> 00:04:56,170 Marker Edgeworth equals five. 62 00:05:01,000 --> 00:05:01,570 What do you think? 63 00:05:01,600 --> 00:05:02,530 Not so bad, right? 64 00:05:03,430 --> 00:05:06,730 So our next parameter is set LYM. 65 00:05:07,860 --> 00:05:13,170 So with the help of this parameter, we can change the limit of the X and Y axes. 66 00:05:13,740 --> 00:05:15,690 So let's see that on our example. 67 00:05:17,190 --> 00:05:17,760 All right. 68 00:05:17,760 --> 00:05:25,020 So as you can see, our X axis ends at here and the Y axis ends near here. 69 00:05:26,190 --> 00:05:29,340 So let's type our parameter axes. 70 00:05:29,340 --> 00:05:30,270 Dot set. 71 00:05:32,410 --> 00:05:33,010 Slim. 72 00:05:34,800 --> 00:05:35,910 020. 73 00:05:38,560 --> 00:05:39,820 Axe is not set. 74 00:05:41,290 --> 00:05:42,370 Why limb? 75 00:05:44,400 --> 00:05:46,370 Zero 100. 76 00:05:48,950 --> 00:05:50,210 And there's that result. 77 00:05:51,270 --> 00:05:56,430 So the first value is a starting point, the second value is the endpoint for our axes. 78 00:05:58,720 --> 00:05:59,470 And there you go. 79 00:06:00,220 --> 00:06:01,870 What do you think we are done? 80 00:06:02,320 --> 00:06:07,240 So this is a lesson that we covered how to customize a plot in matplotlib. 81 00:06:08,020 --> 00:06:14,680 Our beautiful matplotlib library provides us with many different types of plotting as well as customizations. 82 00:06:15,670 --> 00:06:18,940 We have learned some of the fundamentals about matplotlib. 83 00:06:19,480 --> 00:06:20,650 But you know something? 84 00:06:21,100 --> 00:06:25,660 I don't mean to burst your bubble, but this is just the tip of the iceberg. 85 00:06:26,170 --> 00:06:29,890 There are just far too many fascinating things about this library. 86 00:06:30,640 --> 00:06:35,280 So we're going to work with some of them in the upcoming videos. 87 00:06:35,290 --> 00:06:38,530 But you do have some things to explore on your own. 88 00:06:39,400 --> 00:06:40,750 So I hope to see in the next video. 89 00:06:41,050 --> 00:06:43,660 And until then, have a really nice day.