1 00:00:00,420 --> 00:00:05,370 Hello, dear friends, as you remember in our last lesson, we talked a little bit about data visualization 2 00:00:05,370 --> 00:00:07,560 and python with matplotlib. 3 00:00:08,490 --> 00:00:12,360 So this is the lesson that we're going to start to learn how to use matplotlib. 4 00:00:14,540 --> 00:00:19,610 So before we start, we're going to need to know what is pipeline? 5 00:00:21,800 --> 00:00:26,120 Have you ever heard of MATLAB, so MATLAB is a programming language. 6 00:00:26,540 --> 00:00:32,540 And mostly we can use MATLAB for statistics, mathematical operations, graphical operations and data 7 00:00:32,540 --> 00:00:33,440 visualization. 8 00:00:34,220 --> 00:00:37,850 It has too many functions for these operations. 9 00:00:38,810 --> 00:00:44,750 And of course, among all of these processes, data visualization is very important for our cause. 10 00:00:45,200 --> 00:00:51,890 So with the help of pipeline, we can work in Python and work just like in MATLAB. 11 00:00:52,670 --> 00:00:56,810 So each pipeline function makes some sort of change to a figure. 12 00:00:57,560 --> 00:01:02,240 For example, a function creates a figure plotting area and a figure plot. 13 00:01:02,240 --> 00:01:07,130 Some lines in a plotting area, decorates plot labels, et cetera, et cetera. 14 00:01:08,600 --> 00:01:14,240 So if you're ready to give it a shot, let's try to create a simple plot with Matt plot lib. 15 00:01:15,350 --> 00:01:18,380 So first off, we'll need to import our library and module. 16 00:01:19,410 --> 00:01:21,180 Import numbI as N.P.. 17 00:01:25,450 --> 00:01:27,160 Import matplotlib. 18 00:01:27,400 --> 00:01:28,890 That pipeline. 19 00:01:31,950 --> 00:01:40,830 As penalty, also, we need to enter a magic statement for displaying our plant outputs inside the Jupiter 20 00:01:40,830 --> 00:01:45,060 notebook itself percentage matplotlib. 21 00:01:48,650 --> 00:01:49,340 In lie. 22 00:01:51,510 --> 00:01:59,370 Now we can create an incendiary object between one, Denine, using the arrange function from the numbI 23 00:01:59,370 --> 00:02:05,940 library and a X equals and P dot a range. 24 00:02:07,050 --> 00:02:08,970 One nine. 25 00:02:10,120 --> 00:02:14,770 So our variable serves as values on the X axis of the graph. 26 00:02:15,610 --> 00:02:17,780 So now we need another variable for the Y axis. 27 00:02:17,800 --> 00:02:18,790 So let's define that. 28 00:02:19,630 --> 00:02:24,010 And a Y equals np a arrange. 29 00:02:25,520 --> 00:02:28,070 Three, 27, three. 30 00:02:30,310 --> 00:02:34,930 So our two dimensions, the X and Y axis are ready, so let's try to plot it. 31 00:02:35,950 --> 00:02:39,610 And with the help of the plot function, we can plot it very simply. 32 00:02:39,970 --> 00:02:42,010 PLDT dot plot. 33 00:02:43,330 --> 00:02:44,740 And a. 34 00:02:45,610 --> 00:02:49,300 X and a Y. 35 00:02:50,200 --> 00:02:51,460 And it prints it on the screen. 36 00:02:53,560 --> 00:02:54,900 And with help of the show method. 37 00:02:55,890 --> 00:03:02,790 We can start an event loop, so that'll look for all the currently active figure objects, and then 38 00:03:02,790 --> 00:03:07,980 it opens one or more interactive windows that will display our figure or figures. 39 00:03:08,790 --> 00:03:12,240 So here we'll use it just to show you the plot viewer. 40 00:03:13,440 --> 00:03:14,850 Polka dots show. 41 00:03:16,470 --> 00:03:19,320 Great, so also we can change the graphs color. 42 00:03:19,830 --> 00:03:20,760 Let's give that a try. 43 00:03:21,420 --> 00:03:26,700 So here type orange and check the result and what happens? 44 00:03:27,540 --> 00:03:29,790 Our Plotts colors turn to orange. 45 00:03:30,960 --> 00:03:35,280 So also we can set the plot title and labels for the X and Y axes. 46 00:03:36,030 --> 00:03:36,660 Let's try that. 47 00:03:38,150 --> 00:03:40,070 P l t dot x label. 48 00:03:41,240 --> 00:03:42,500 And X. 49 00:03:45,850 --> 00:03:47,650 Patty, why label? 50 00:03:50,380 --> 00:03:51,160 And a Y. 51 00:03:56,430 --> 00:03:57,480 The leaked title. 52 00:03:59,250 --> 00:03:59,910 Lot. 53 00:04:01,170 --> 00:04:02,460 And the result is printed. 54 00:04:03,720 --> 00:04:04,800 Ildiko plant. 55 00:04:06,920 --> 00:04:07,880 And a X. 56 00:04:09,510 --> 00:04:10,770 In a Y. 57 00:04:11,950 --> 00:04:13,090 He Altena show. 58 00:04:15,280 --> 00:04:16,840 And the result gets printed. 59 00:04:20,980 --> 00:04:22,360 So let's try a few different things. 60 00:04:23,380 --> 00:04:32,230 For example, we can create an indie array object just by using Laon space as a function from numbI. 61 00:04:33,160 --> 00:04:37,270 Unless X equals and P dot Lynn space. 62 00:04:40,110 --> 00:04:42,240 Negative four for 50. 63 00:04:43,300 --> 00:04:45,490 So our X axis is ready. 64 00:04:45,910 --> 00:04:49,720 Now we need to create our Y axis, unless Y equals. 65 00:04:51,010 --> 00:04:54,980 Less X astros' asterisk to. 66 00:04:56,360 --> 00:04:58,490 All right, so now our X and Y axes are ready. 67 00:04:58,940 --> 00:05:00,350 So let's just go ahead and plot it. 68 00:05:01,220 --> 00:05:03,400 The old plot, l. 69 00:05:03,470 --> 00:05:04,310 S x. 70 00:05:06,450 --> 00:05:07,410 And that's why. 71 00:05:09,520 --> 00:05:10,870 He noted that show. 72 00:05:14,230 --> 00:05:17,800 And now, as you may remember, we can change the plot color. 73 00:05:18,840 --> 00:05:22,020 But also, we can use a symbol like dash or dot. 74 00:05:24,290 --> 00:05:25,520 Polka dot plot. 75 00:05:27,330 --> 00:05:28,280 Ellis X. 76 00:05:30,140 --> 00:05:31,070 Alice, why? 77 00:05:33,050 --> 00:05:33,530 Dot. 78 00:05:36,920 --> 00:05:38,090 Polls don't show. 79 00:05:42,920 --> 00:05:43,520 What do you think? 80 00:05:45,280 --> 00:05:46,600 So let's try it with a different color. 81 00:05:47,840 --> 00:05:48,890 Plotted out plot. 82 00:05:50,460 --> 00:05:51,410 Ellis X. 83 00:05:53,170 --> 00:05:54,160 Alice, why? 84 00:05:56,730 --> 00:05:57,420 Our dot. 85 00:05:59,660 --> 00:06:00,770 Peeled out show. 86 00:06:05,840 --> 00:06:07,430 And it prints it to the screen. 87 00:06:09,320 --> 00:06:13,490 So here I want to show you, this is a chart of usable symbols and colors. 88 00:06:18,580 --> 00:06:21,460 Now let's try to plant multiple plots. 89 00:06:22,450 --> 00:06:29,980 For example, plot our plots sine and cosine value with different colors and symbols on the same chart. 90 00:06:30,270 --> 00:06:30,430 Hmm. 91 00:06:30,550 --> 00:06:31,090 Are you ready? 92 00:06:32,920 --> 00:06:34,510 BLT dot plot. 93 00:06:36,150 --> 00:06:37,050 Tell us X. 94 00:06:39,110 --> 00:06:42,680 And did sign Ella's X. 95 00:06:46,100 --> 00:06:47,090 Our diet. 96 00:06:50,560 --> 00:06:52,210 He dot plot. 97 00:06:54,890 --> 00:06:58,370 Ellis X Airport costs. 98 00:07:02,140 --> 00:07:03,130 Let X. 99 00:07:05,540 --> 00:07:06,070 G. 100 00:07:06,710 --> 00:07:07,610 Double dash. 101 00:07:11,300 --> 00:07:12,590 BLT Dot Show. 102 00:07:15,060 --> 00:07:16,410 And bring it to the screen. 103 00:07:17,360 --> 00:07:17,930 What do you think? 104 00:07:17,960 --> 00:07:18,530 Pretty cool. 105 00:07:19,340 --> 00:07:19,970 So that's it. 106 00:07:21,820 --> 00:07:24,850 In this lesson, we learned how to use matplotlib. 107 00:07:25,330 --> 00:07:27,910 Go ahead, give that a whirl and I'll see you in the next lesson. 108 00:07:28,300 --> 00:07:29,080 Have a nice day.