1 00:00:05,830 --> 00:00:06,100 Here. 2 00:00:06,160 --> 00:00:11,380 Even so in this video we're going to plot a basic base map so that you can have the idea that how this 3 00:00:11,640 --> 00:00:12,490 book. 4 00:00:12,580 --> 00:00:15,190 So before going to that one that we talk about the data. 5 00:00:15,670 --> 00:00:18,750 So these are the three CSP files we are going to need here. 6 00:00:18,760 --> 00:00:20,860 First one is U.S. cities population. 7 00:00:20,890 --> 00:00:24,550 Second is the volcano that is showing the volcanoes around the world. 8 00:00:24,550 --> 00:00:30,370 Third is the word adjacent that contains the coordinates longitude and latitude of complete globe with 9 00:00:30,370 --> 00:00:31,610 the data. 10 00:00:31,870 --> 00:00:36,210 I will tell you how this book and what they are when we committed that one. 11 00:00:36,280 --> 00:00:42,670 First of all just copy this as usual and go to the Jupiter notebook locations. 12 00:00:42,700 --> 00:00:45,540 That is my home and paste them there 13 00:00:48,610 --> 00:00:52,600 in this video I will also show you another method to do that one. 14 00:00:52,600 --> 00:00:55,300 So here we have our Jupiter notebooks. 15 00:00:55,300 --> 00:01:00,240 First of all if you check the directory here we have a user slash tape. 16 00:01:00,460 --> 00:01:03,440 If you want to go next top you can also do this one. 17 00:01:03,580 --> 00:01:04,460 Just text. 18 00:01:05,410 --> 00:01:07,070 And there we have on the desktop. 19 00:01:07,150 --> 00:01:10,700 Now the same fast food bug there without any problem. 20 00:01:10,810 --> 00:01:17,300 And if you are going with that one putting the values on the Jupiter notebook locations then that Villanova. 21 00:01:18,190 --> 00:01:21,310 So first of all let me begin with important the libraries. 22 00:01:21,460 --> 00:01:27,740 So a few basic libraries that we are required here are lumpy as MP. 23 00:01:27,940 --> 00:01:35,320 This one is not required but if you are using pandas then it's good to have not be that heavy a import 24 00:01:35,320 --> 00:01:37,680 pandas as Billy. 25 00:01:38,020 --> 00:01:38,650 And in last. 26 00:01:38,650 --> 00:01:45,160 We are going to have another library that is known as foliage with which we are going to work in this 27 00:01:45,160 --> 00:01:46,930 module and import. 28 00:01:46,930 --> 00:01:54,280 This one is F bloating the base where we have different options like you can also brought a base map 29 00:01:54,280 --> 00:01:55,040 simply. 30 00:01:55,270 --> 00:02:02,080 But in that case sometime you good at it even in my computer here I have terminal 31 00:02:04,730 --> 00:02:11,150 when I install the base map that we have in addition. 32 00:02:11,360 --> 00:02:21,680 And if you do pip install base map hit region then it will work here and sometime if you install the 33 00:02:21,680 --> 00:02:27,980 libraries the main package will not get installed like here it's showing installed but when I use this 34 00:02:27,980 --> 00:02:34,630 in my computer it is not work and most of the time that will also not work with you. 35 00:02:34,640 --> 00:02:37,820 So Folsom is another method to create the base maps. 36 00:02:37,850 --> 00:02:46,520 It's a library just containing some of data basement after that here at the line Megaupload Libby line 37 00:02:48,320 --> 00:02:53,650 and we have shifted on and wait for this one 38 00:02:56,920 --> 00:02:58,280 David go with that. 39 00:02:58,410 --> 00:02:59,790 Now this one is installed here. 40 00:03:00,430 --> 00:03:06,380 After that well first of all what actually a base map looked like or geopolitical next. 41 00:03:06,400 --> 00:03:12,890 So here I have my Udemy page which is showing the details of storage it's a little in my previous course. 42 00:03:12,940 --> 00:03:20,050 So if you notice here we have the complete globe and these things are known as markers that us showing 43 00:03:20,050 --> 00:03:20,720 some points. 44 00:03:20,740 --> 00:03:26,280 And whenever you click any point it is showing India that one Thailand that one. 45 00:03:26,320 --> 00:03:32,020 And whenever you click any of these you will get the data at that particular one like their name and 46 00:03:32,020 --> 00:03:33,490 the number of students. 47 00:03:33,490 --> 00:03:37,360 So this is this one that we are going to do here. 48 00:03:37,450 --> 00:03:41,570 You can also do the same thing by just using fuse indexes. 49 00:03:41,590 --> 00:03:46,900 Now there seems to be very difficult but literally that is very easy. 50 00:03:46,960 --> 00:03:53,320 You can do that one just by using this library and with two lines of code like here first I create a 51 00:03:53,320 --> 00:03:56,760 map and then this will be equal to effort. 52 00:03:56,770 --> 00:04:00,500 That is my fourth Liam library don't they. 53 00:04:00,510 --> 00:04:05,070 I will use a math method panties shift return. 54 00:04:05,240 --> 00:04:09,130 Sorry this one capital and shifted one day. 55 00:04:09,130 --> 00:04:14,060 We have displayed some map my variable here is equal to Folsom. 56 00:04:14,110 --> 00:04:15,400 Note map method. 57 00:04:15,940 --> 00:04:19,580 So this is a method used to create a complete globally. 58 00:04:19,690 --> 00:04:24,630 If I print map here I will have this. 59 00:04:24,670 --> 00:04:31,810 So this is very difficult to create this thing but it just required this step map equal to effort. 60 00:04:31,940 --> 00:04:36,390 Let's make sure this one map function containing M capital. 61 00:04:36,550 --> 00:04:40,570 And here we have this map also this is not a simple map. 62 00:04:40,840 --> 00:04:42,280 If you zoom this one. 63 00:04:42,280 --> 00:04:47,130 Like if I go to any particular location it will start to expand like here. 64 00:04:47,130 --> 00:04:49,240 MAN This one is just simple. 65 00:04:49,390 --> 00:04:53,070 You did not have any name better than I on this one. 66 00:04:53,080 --> 00:04:56,290 I have united state more. 67 00:04:56,290 --> 00:05:02,830 You will find the states and keep going you will even go to the roads there. 68 00:05:03,170 --> 00:05:13,950 They go to these local cities this one and these doors you can see their mode and similar to this one 69 00:05:13,950 --> 00:05:16,920 you can zoom even more you want to like. 70 00:05:17,000 --> 00:05:24,320 Now I am completely on a like Google Maps or Apple Maps the complete streets. 71 00:05:24,320 --> 00:05:27,180 You can also find your house. 72 00:05:27,290 --> 00:05:33,480 So this is the basic method that how you can create these base maps. 73 00:05:33,530 --> 00:05:38,510 I hope you get that one and this video is about just a basic introduction so that you can have idea 74 00:05:38,510 --> 00:05:42,310 that how it works more we will continue in the next video. 75 00:05:42,740 --> 00:05:43,760 So thanks for watching. 76 00:05:43,760 --> 00:05:44,780 Soon the next video.