cs作业代写_matlab代做_machine learning代写

vector data作業代寫、python程序設計作業調試、代做python實驗作業、代寫OGR python作業 代做Python程序|代寫Web開發

- 首頁 >> 其他
Exercise 5: Working with vector data
You will need to download this data and unzip it to your folder to use it for this exercise.
Open and read the shapefile with OGR following the process we did in class. When using DumpReadable() method on a feature to print the feature into human readable format, Jupyter notebook doesn't show any output. This could be a problem with Jupyter notebook, or simply with the OGR python binding. So to work around this problem, you can try to run that piece of code within interactive python or python interpreter to get the list of attributes. Here is how to do it.
Open a Linux terminal on the server by clicking on the terminal icon
In the terminal, enter module load geo429 to set up the proper environment. Then enter python command to start the python interpreter. See the following example. Notice that you have to use Python 3.5.2 with Anaconda for ogr to work. Other versions might/might not work. Once you load the geo429 module, the python environment should be for 3.5.2.
lluo@black:~$ module load geo429
lluo@black:~$ python
Python 3.5.2 |Anaconda custom (64-bit)| (default, Jul 2 2016, 17:53:06)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>
Copy and paste your code into the Python interpreter to run the following code. It should now give you the output from DumpReadable method. The output gives you the attributes that are associated with this specific feature. In this shapefile, all geographic features are counties of Michigan, and each county has the same attributes. The actual values associated with these attributes will obviously vary. But this will give you an idea what attributes that you can extract and work with.
>>>from osgeo import ogr
>>>shpf = ogr.Open("data/mich_co.shp")
>>>lyr = shpf.GetLayer(0)
>>>feature = lyr.GetFeature(0)
>>>feature.DumpReadable()
OGRFeature(mich_co):0
FID (Integer64) = 0
w_M_201 (Real) = 5312.000000000000000
w_F_201 (Real) = 5176.000000000000000
b_M_201 (Real) = 19.000000000000000
b_F_201 (Real) = 27.000000000000000
nA_M_20 (Real) = 35.000000000000000
nA_F_20 (Real) = 41.000000000000000
a_M_201 (Real) = 6.000000000000000
a_F_201 (Real) = 19.000000000000000
pop (Real) = 10635.000000000000000
county (String) = Alcona
marrigs (Real) = 51.000000000000000
divorcs (Real) = 33.000000000000000
POLYGON ((666667.467185152 480494.211763146,675142.281752073 480722.470884362,685792.431459327 481271.563931039,695290.517929201 481624.721626855,700062.989810847 481708.114326595,711456.115569082 482017.18594244,712100.355392683 480175.300987687,712974.328711306 479313.654057265,713359.156832663 477393.313839829,713885.474683868 476280.555491611,713672.894405104 474153.762459305,714188.458937549 471938.117692383,713694.791413845 470778.576325394,714144.89279161 468268.735545871,714774.799969475 467109.256103982,715988.963850573 466031.816244756,715674.904884499 463662.457350373,715212.114455894 461990.948710321,714620.334722815 458860.375639736,713424.491203851 456713.114505301,712899.162809242 454179.933320121,712873.64431283 452788.40893671,713210.606329985 448872.571019732,713693.291200278 446788.451035371,712947.017607005 443503.338960932,701836.417659922 443150.665716232,686638.68076447 442621.728127439,667811.141751631 441884.748812394,667480.119826987 453075.083321341,667076.870736058 464363.345038424,666841.937585521 475610.600646161,666667.467185152 480494.211763146))
To exit from the Python interpreter, simply press Ctrl + d on the keyboard to exit. You can close the terminal once you have found out the above information.
Now you should have the information you need to work with the shapefile, i.e, attribute names.
Write code to find out the following using OGR:
How many features are stored in this shapefile?
In [1]:
# your code here
Print out all the county name of each feature, the type of geometry for this county (i.e, point, line, polygon or multipolygon?) If you cannot do this with OGR, can you do it with Fiona?
In [2]:
# your code here
Write code to find the number of marriages and divorces in Ingham county.
In [3]:
# your code here
Write code to find the county with the highest population.
In [4]:
# your code here
In [5]:
# close the file
Working with Fiona
Using the Fiona module, open the mi_airports.shp file (download here), and write code to find out the following.
How many features are stored in this shapefile and what geometry type are they?
In [6]:
# Your code here
How many airports are in Ingham county?
In [7]:
# Your code here
Which airport has the highest elevation?
In [8]:
# Your code here
Improving matplotlib plotting
Use the functions that we developed in class, namely, getLineSegmentsFromGeometry, readShape, drawMultiPoints, drawMultiLines, drawMultiPolygons to work on this problem.
Place all the functions (plotting and reading shapefiles with ogr) in a separate python file, called mymodule.py and save this mymodule.py in your current work directory. Congratulations! You just created your first module. You can also add DocString for your module to describe it. Your module will become very handy when we use these functions in the following questions. To use the function in your module, simply import them
from mymodule import *
Download this shapefile and unzip it. Import mymodule to read the shapefile. Make a plot of all the features in this shapefile using the functions in your module.
In [11]:
#your code and plot here
Revise the plotting functions in your module, to allow users to specify the colors when drawing. Place your new plotting functions here, and replot the polygons in the nybb.shp shapefile.
In [10]:
# Your code and plots here

在線客服

售前咨詢
售后咨詢
微信號
Essay_Cheery
微信
马来西亚代写,essay代写,留学生网课代修代考,论文代写-小精灵代写 美国Assignment代写,Economic代写,留学作业代写-RMTNR北美代写 美国作业代写,网课代考,cs代写,论文代写-ESSAYSHIFU 墨尔本代写,博士论文代写,网课代修,exam代考-熊猫代写 悉尼essay代写,CS代码代写,CS编程代写-熊猫人代写 澳洲CS assignment代写,c++/c代写,python代做-SimpleTense 悉尼代写,商科assignment代写,网课代修,论文加急-OnlyEssay 澳洲作业代写,essay代写,网课代修,exam代考-ESSAYSHIFU 代写essay,代写assignment|DRS英国论文代写留学推荐网站 Assignment代写,【essay代写】美国作业代写-留学代写ESSAY网