1 00:00:00,760 --> 00:00:01,660 Hello, dear friend. 2 00:00:01,690 --> 00:00:08,170 So in this lesson, we are going to learn how to customize our figure in matplotlib library. 3 00:00:08,470 --> 00:00:10,600 So let's get started. 4 00:00:12,570 --> 00:00:18,630 So I'm sure you remember we have talked about the figure object in our last lesson, we use figures 5 00:00:18,630 --> 00:00:23,610 that are simple, and I say there will talk about it in greater depth later. 6 00:00:23,940 --> 00:00:27,330 Hey, hey, now, later, so we can. 7 00:00:29,040 --> 00:00:35,430 What I'm going to do is lay out some pretty complex examples so that we can understand this better. 8 00:00:36,150 --> 00:00:37,890 And if you're ready, we can start. 9 00:00:39,120 --> 00:00:40,890 And as always, we will need to import. 10 00:00:40,890 --> 00:00:43,770 Our library's first important number is N.P.. 11 00:00:47,650 --> 00:00:51,760 Import matplotlib, that pipeline as PLG. 12 00:00:55,380 --> 00:00:59,940 And, of course, we'll need to enter a magic statement for displaying our plot outputs inside the Jupiter 13 00:00:59,940 --> 00:01:00,870 notebook itself. 14 00:01:01,850 --> 00:01:02,660 Percent. 15 00:01:03,570 --> 00:01:04,530 Matplotlib. 16 00:01:06,370 --> 00:01:06,970 Inline. 17 00:01:08,210 --> 00:01:15,440 So now we can create an incendiary object between one and nine using the arrange function from the numbI 18 00:01:15,440 --> 00:01:16,040 library. 19 00:01:17,480 --> 00:01:21,350 X equals and P on a range one nine. 20 00:01:24,310 --> 00:01:29,140 Our variables serve as values on the X axis of the graph. 21 00:01:29,560 --> 00:01:31,990 So now we need another variable for the Y axis. 22 00:01:32,000 --> 00:01:35,590 So let's define that Y equals np dot arrange. 23 00:01:37,090 --> 00:01:38,980 Three, 27, three. 24 00:01:41,670 --> 00:01:42,730 So that seems OK. 25 00:01:42,750 --> 00:01:43,920 Our variables are ready. 26 00:01:44,370 --> 00:01:52,710 So let's move on here, will need to define one figure and four axes, figure axes. 27 00:01:54,690 --> 00:01:57,060 Equals plot, not subplots. 28 00:01:58,520 --> 00:02:03,920 Now, if we don't specify any parameter here, we're going to get an axis with one column in one row. 29 00:02:04,790 --> 00:02:06,730 But we're going to need four axes. 30 00:02:06,740 --> 00:02:07,910 So let's specify that. 31 00:02:08,380 --> 00:02:13,880 And rows equals two and calls equals two. 32 00:02:14,750 --> 00:02:20,420 So now when we run this code, the figure will equal our figure variable and the axes will equal our 33 00:02:20,420 --> 00:02:21,560 axes variable. 34 00:02:21,590 --> 00:02:21,890 Right. 35 00:02:22,880 --> 00:02:23,150 All right. 36 00:02:23,150 --> 00:02:25,310 So let's run it and check the result. 37 00:02:27,340 --> 00:02:28,150 So we get this. 38 00:02:28,450 --> 00:02:29,020 What do you know? 39 00:02:29,710 --> 00:02:33,820 We get our four axes, but I see a little problem here to you. 40 00:02:35,500 --> 00:02:41,380 Can you see that these axes are a little close to each other and it's a little messy? 41 00:02:42,070 --> 00:02:48,760 So with the help of this function, we can get a more well readable result. 42 00:02:48,790 --> 00:02:49,060 Yeah. 43 00:02:49,570 --> 00:02:50,380 So let's check it out. 44 00:02:51,390 --> 00:02:53,640 Plot, tight layout. 45 00:03:01,140 --> 00:03:03,480 So let's continue with two axes for now. 46 00:03:03,510 --> 00:03:06,960 For example, we have two rows, one column. 47 00:03:07,410 --> 00:03:11,790 So if we change the end, calls value to one. 48 00:03:13,650 --> 00:03:14,820 Yeah, we're going to get this. 49 00:03:16,500 --> 00:03:22,440 Now, if you want, we can see our axes, variable type print type axes. 50 00:03:27,560 --> 00:03:29,960 So here are axes is a number of Uray. 51 00:03:31,150 --> 00:03:37,330 Or we can print the first or second axes on the screen, Brent axes zero. 52 00:03:41,560 --> 00:03:43,420 Brent axes one. 53 00:03:45,670 --> 00:03:50,140 Now you know something, we can also iterate the axes with for loop. 54 00:03:51,210 --> 00:03:53,190 For acts and axes. 55 00:03:56,870 --> 00:03:58,010 Exact plot. 56 00:04:00,430 --> 00:04:01,180 X y. 57 00:04:03,910 --> 00:04:04,240 Print. 58 00:04:06,100 --> 00:04:09,060 So when we've run this code, we iterate our axes. 59 00:04:09,130 --> 00:04:13,180 Also, we plot a plot in every axes. 60 00:04:14,400 --> 00:04:14,820 Let's see. 61 00:04:16,300 --> 00:04:16,710 Cool. 62 00:04:17,380 --> 00:04:20,770 So we can also plot a different plot in every axes. 63 00:04:32,410 --> 00:04:33,490 Actually, zero. 64 00:04:34,850 --> 00:04:43,520 Dot plot X Y axes, one dot plot X X two. 65 00:04:45,810 --> 00:04:46,860 And there's a result. 66 00:04:48,540 --> 00:04:55,560 And of course, we could give a title to each of them, and I guess you already remember how to do it 67 00:04:55,560 --> 00:05:00,960 from our previous lesson axes zero dot set title. 68 00:05:05,020 --> 00:05:06,040 X y Graaf. 69 00:05:10,170 --> 00:05:13,050 Axes, one dot set title. 70 00:05:16,210 --> 00:05:17,800 X Square graph. 71 00:05:20,880 --> 00:05:22,080 And here's that result. 72 00:05:27,600 --> 00:05:34,760 All righty then, so we have created our figures, but maybe sometimes we will need different size of 73 00:05:34,780 --> 00:05:36,910 figures like bigger or smaller maybe. 74 00:05:37,540 --> 00:05:44,470 So for this, our beautiful matplotlib is figure function provides us a parameter called figure size. 75 00:05:45,410 --> 00:05:46,630 You'll see how that works. 76 00:05:46,990 --> 00:05:47,650 I'll show you. 77 00:05:48,520 --> 00:05:54,730 So first will define a new variable named a figure as figure s equals plot dot figure. 78 00:05:56,320 --> 00:06:02,800 So now we can add a parameter here, but before we do that, we should also create an axes and see it 79 00:06:02,800 --> 00:06:07,540 more clearly axes as equals figure as. 80 00:06:09,540 --> 00:06:11,190 Don't add axes. 81 00:06:14,230 --> 00:06:17,080 So here we specify the starting point. 82 00:06:19,560 --> 00:06:22,470 Zero zero and Covid all. 83 00:06:22,590 --> 00:06:23,520 One one. 84 00:06:24,890 --> 00:06:30,800 And then, as you know, when we use the ad axes, we give a value from zero to one. 85 00:06:31,130 --> 00:06:35,720 And if we choose one, then our axes will cover completely the figure. 86 00:06:37,010 --> 00:06:37,280 All right. 87 00:06:37,280 --> 00:06:41,030 So it seems our axes are ready, so let's start to plot it out. 88 00:06:42,500 --> 00:06:43,760 Axes escort. 89 00:06:45,130 --> 00:06:45,580 Plant. 90 00:06:46,680 --> 00:06:50,100 X y 025. 91 00:06:51,230 --> 00:06:55,280 And give it a different color if you want to, color equals orange. 92 00:06:58,250 --> 00:06:59,870 Now our figure and axes are ready. 93 00:07:00,050 --> 00:07:01,970 And here's what it looks like. 94 00:07:03,420 --> 00:07:06,420 So now let's employ our parameter. 95 00:07:07,720 --> 00:07:09,190 Fig size equals. 96 00:07:10,290 --> 00:07:13,890 And size values will put it six and four. 97 00:07:14,310 --> 00:07:15,120 So let's run that. 98 00:07:20,010 --> 00:07:22,550 And there's a result we get a bigger graph. 99 00:07:23,620 --> 00:07:31,420 So I hope your guest hears the first value, it's equal access and the second value is equal to the 100 00:07:31,420 --> 00:07:32,650 Y axis. 101 00:07:33,790 --> 00:07:38,110 So let's change the values three to four and run it again. 102 00:07:40,730 --> 00:07:41,540 There's that resow. 103 00:07:43,140 --> 00:07:47,730 And also, if we want to, we can change the background color of our graph or this, we can use the 104 00:07:47,730 --> 00:07:48,960 face color parameter. 105 00:07:49,470 --> 00:07:50,160 Let's try it out. 106 00:07:51,790 --> 00:07:52,780 Face colour equals. 107 00:07:55,670 --> 00:07:56,240 Red. 108 00:07:59,680 --> 00:08:00,970 And the result is here. 109 00:08:02,610 --> 00:08:10,080 All right, so let's move on with this, define another figure and axes, variable figure two axes, 110 00:08:10,080 --> 00:08:11,220 two equals. 111 00:08:13,720 --> 00:08:22,120 Plot that subplot this time, let's define one row and two columns and rows equals one. 112 00:08:23,750 --> 00:08:25,400 And calls equals two. 113 00:08:26,000 --> 00:08:32,730 And the figure size will there be 14 and six figure size equals 14. 114 00:08:32,750 --> 00:08:33,200 Six. 115 00:08:39,530 --> 00:08:44,690 Now our axes are ready, so let's plot our figures in axes to. 116 00:08:46,400 --> 00:08:47,630 Zero dot plot. 117 00:08:48,670 --> 00:08:52,540 This time, we can use our WI variable and its third power. 118 00:08:52,900 --> 00:08:56,380 So why, why three? 119 00:08:57,160 --> 00:09:01,330 And the color let it be orange color equals orange. 120 00:09:02,780 --> 00:09:06,050 So specify the axes, title axes to. 121 00:09:07,530 --> 00:09:09,030 Zero set title. 122 00:09:10,170 --> 00:09:11,160 So the title is. 123 00:09:12,380 --> 00:09:13,160 Why graph? 124 00:09:16,570 --> 00:09:18,220 All right, so the first one is done. 125 00:09:18,680 --> 00:09:21,580 Now let's get to the second one axes to. 126 00:09:22,520 --> 00:09:34,580 One dot plot, this time we'll use our X variable and it's zero dot three power X X zero to three and 127 00:09:34,580 --> 00:09:39,020 the color let it be Purple Color equals purple. 128 00:09:42,560 --> 00:09:48,590 So now let's specify the axes, tidal axes to one that set tidal. 129 00:09:49,490 --> 00:09:51,680 And title is X graph. 130 00:09:53,560 --> 00:09:55,240 It's now our figure and axes are ready. 131 00:09:57,730 --> 00:09:58,570 Let's run it. 132 00:10:00,050 --> 00:10:01,730 And here's the result. 133 00:10:03,670 --> 00:10:08,620 So now let's try to say this figure to a PDF or a PNGDF file. 134 00:10:09,400 --> 00:10:12,310 So first, let's check out our figure again for you to. 135 00:10:15,560 --> 00:10:19,490 And now we can save our figure with the help of the save figure function. 136 00:10:20,150 --> 00:10:25,460 So let's use it figure to dot C fig. 137 00:10:30,900 --> 00:10:33,300 Figure to Duckpin G. 138 00:10:37,340 --> 00:10:40,490 And we have success, we saved our figure, so let's check it out. 139 00:10:41,550 --> 00:10:46,050 And you can see here that it placed it in the same directory as our Jupiter files. 140 00:10:48,390 --> 00:10:55,020 So also, we can save that as a PDF file, the same way for you to DOT. 141 00:10:57,260 --> 00:10:58,190 Save Fig. 142 00:11:01,150 --> 00:11:02,350 Figure to that. 143 00:11:03,450 --> 00:11:04,710 PD f. 144 00:11:08,420 --> 00:11:08,870 And. 145 00:11:09,870 --> 00:11:11,310 There's our PDF file. 146 00:11:12,690 --> 00:11:14,820 Well, you know, we can we can make one more thing. 147 00:11:15,150 --> 00:11:20,490 So do you remember way back, if you can, the legend parameter from our previous lesson? 148 00:11:21,210 --> 00:11:26,250 So with the help of this parameter, we can add a legend here, too, so let's try it. 149 00:11:27,450 --> 00:11:29,970 So to find a different figure and axes again. 150 00:11:30,810 --> 00:11:32,010 Figure three. 151 00:11:34,530 --> 00:11:35,760 Axes three. 152 00:11:37,760 --> 00:11:45,140 Equals plot dot subplots and figure size, let it be 14 and six. 153 00:11:48,080 --> 00:11:56,150 So our figure will be fully covered by these axes, so we'll need to specify it axes three equals. 154 00:11:57,340 --> 00:11:58,510 Figure three Dot. 155 00:12:00,080 --> 00:12:01,460 Ad axes. 156 00:12:05,110 --> 00:12:07,810 Zero zero one one. 157 00:12:09,420 --> 00:12:11,700 So let's draw four different plots. 158 00:12:12,000 --> 00:12:17,040 First plot is why and it's square root axes, three to. 159 00:12:18,490 --> 00:12:19,030 Plot. 160 00:12:20,760 --> 00:12:21,200 Why? 161 00:12:21,330 --> 00:12:21,900 Why? 162 00:12:23,380 --> 00:12:24,580 Zero, not five. 163 00:12:26,170 --> 00:12:27,880 Specify its label as. 164 00:12:29,520 --> 00:12:30,780 Why square root? 165 00:12:34,290 --> 00:12:35,790 And the color is orange. 166 00:12:38,810 --> 00:12:42,110 Second plot is X and its second power. 167 00:12:43,120 --> 00:12:44,740 Axes, three dot plot. 168 00:12:47,220 --> 00:12:49,470 X x two. 169 00:12:50,430 --> 00:12:54,390 And we'll specify its label as X second power. 170 00:12:58,720 --> 00:12:59,830 And the colors purple. 171 00:13:04,570 --> 00:13:09,400 Third plot plodders X and Y, axes, three dot plot. 172 00:13:10,990 --> 00:13:12,040 X y. 173 00:13:13,810 --> 00:13:16,570 And we'll specify its label to be x y. 174 00:13:21,900 --> 00:13:23,310 And the color will be blue. 175 00:13:26,290 --> 00:13:32,170 Last plodders, why and wise signed value so axes three dot plot. 176 00:13:34,440 --> 00:13:36,180 Why airport sign? 177 00:13:39,630 --> 00:13:43,470 And specify its label to be why why sign? 178 00:13:49,190 --> 00:13:50,570 So that color is going to be red. 179 00:13:54,620 --> 00:13:56,720 So we can finally add in our legend here. 180 00:14:00,740 --> 00:14:01,820 And run the code. 181 00:14:05,000 --> 00:14:06,110 And here's the result. 182 00:14:07,310 --> 00:14:13,610 It's our figure and our axes, plots are here and all the glorious detail here is our legend. 183 00:14:14,890 --> 00:14:17,650 We defined a figure and an axis. 184 00:14:18,160 --> 00:14:20,200 We plotted four different plots. 185 00:14:20,680 --> 00:14:22,120 And we even added a legend. 186 00:14:24,850 --> 00:14:25,510 So that's it. 187 00:14:25,540 --> 00:14:27,550 This is pretty comprehensive. 188 00:14:28,390 --> 00:14:33,310 And we have covered how to customize a figure in matplotlib. 189 00:14:33,910 --> 00:14:39,640 So in the next lesson, what we're going to do is learn how to customize a graphic in matplotlib. 190 00:14:40,360 --> 00:14:41,590 So that's going to be a lot of fun. 191 00:14:41,590 --> 00:14:43,750 And I will see you in the next lesson. 192 00:14:43,810 --> 00:14:45,040 I can count on it. 193 00:14:45,490 --> 00:14:46,840 Until then, have a nice day.