mtaa

A package consisting of all Tanzania locations from region to streets in a easy accessible way made by kalebu

A strory behind

Mtaa package is result of organized json of all the locations in Tanzania, As I was looking for data about these locations data I came across repo tanzania-location-db, It consists of locations data organized into regions, whereby each region has its own csv file. So I wrote a script to transform all the locations from csv into a single Json and from there package came.

Json Transformer

If you wanna give a look at the script or interested about building your Json from a similar kind of raw data here is Json Transformer script.

Installation

Use pip to install it just as shown below;

pip install mtaa

Usage

The library is very straight forward, at the very top of the library is country which is tanzania and at the very bottoms are places in a given street, here is a sample;

>>> from mtaa import tanzania

>>> tanzania
['Shinyanga', 'Mara', 'Dar-es-salaam', 'Kilimanjaro', 'Kagera', 'Tanga', 'Mwanza', 'Tabora', 'Kigoma', 'Pwani', 'Ruvuma', 'Mtwara', 'Morogoro', 'Rukwa', 'Katavi', 'Simiyu', 'Geita', 'Arusha', 'Iringa', 'Mbeya', 'Njombe', 'Manyara', 'Lindi', 'Singida', 'Songwe', 'Dodoma']

>>> tanzania.Mbeya.districts
['Mbeya cbd', 'Mbeya', 'Rungwe', 'Mbarali', 'Kyela', 'Chunya]


>>> tanzania.Mbeya.districts.Rungwe.wards
['ward_post_code', 'Bulyaga', 'Bagamoyo', 'Makandana', 'Msasani', 'Kawetele', 'Itagata', 'Ibigi', 'Kyimo', 'Suma', 'Masoko', 'Mpuguso', 'Malindo', 'Lufingo', 'Kiwira', 'Nkunga', 'Ikuti', 'Kisondela', 'Ilima', 'Bujela', 'Masukulu', 'Kisiba', 'Kabula', 'Lupata', 'Kambasegela', 'Kisegese', 'Itete', 'Lufilyo', 'Lwangwa', 'Mpombo', 'Isange', 'Kandete', 'Luteba', 'Isongole', 'Kinyala', 'Matwebe', 'Masebe', 'Swaya', 'Iponjola', 'Lupepo', 'Ndanto', 'Ntaba', 'Mpata']

How about the Type?

>>> from mtaa import tanzania
>>> type(tanzania)
<class 'mtaa.Tanzania'>

As you can see the repr() being shown on of the REPL is of type <mtaa.Tanzania>, you can easily convert it into native python datatypes due to the fact its iteratable, as shown in the example below;

>>> from mtaa import tanzania
>>> list(tanzania)
['Shinyanga', 'Mara', 'Dar-es-salaam', 'Kilimanjaro', 'Kagera', 'Tanga', 'Mwanza', 'Tabora', 'Kigoma', 'Pwani', 'Ruvuma', 'Mtwara', 'Morogoro', 'Rukwa', 'Katavi', 'Simiyu', 'Geita', 'Arusha', 'Iringa', 'Mbeya', 'Njombe', 'Manyara', 'Lindi', 'Singida', 'Songwe', 'Dodoma']

Since its Iterable that's means you can loop through it, but as string for Example;

>>> for district in tanzania.Mbeya.districts:
...     print(district)
... 
Mbeya cbd
Mbeya
Rungwe
Mbarali
Kyela
Chunya

How about Dar-es-salaam ?

In the above example we were able to retreive locations of Mbeya region because, Mbeya is a valid python identifier, when you try to access Dar-es-Salaam it will ofcourse raise you an error just as shown below;

>>> from mtaa import tanzania
>>> tanzania.Dar-es-salaam
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
AttributeError: 'Tanzania' object has no attribute 'Dar'

To resolve this at anypoint where you a location name is an invalid identifier, use get_dict() instead of (.) operator to access it as shown in the example below;

>>> from mtaa import tanzania 
>>> tanzania.get('Dar-es-salaam').districts
['Ilala cbd', 'Ilala', 'Kinondoni', 'Temeke', 'Ubungo', 'Kigamboni']

Fetching the whole tree

Lets you want to extract no just names in a ward but the whole ward and its deeper roots, to do this use the tree () at any given instance with exception of places in streets which are just list;

Here an example (Some places in Tanzania)

>>> home = tanzania.Mbeya.districts.Rungwe.wards.Kiwira.tree()
>>> print(home)
{'ward_post_code': '53515', 'streets': {'Mpandapanda': ['Ipoma', 'Kiwira kati', 'Mpandapanda', 'Ilongoboto', 'Isange'], 'Kikota': ['Lukwego', 'Lubwe', "Kang'eng'e", 'Ilamba', 'Kikota', 'Ipande'], 'Ibula': ['Kibumbe', 'Ibula', 'Kanyegele', 'Sanu - salala kalongo', 'Katela'], 'Ilundo': ['Bujinga', 'Ibagha a', 'Buswema', 'Ibagha b', 'Kanyambala', 'Lusungo'], 'Ilolo': ['Ibigi', 'Ilolo', 'Itekele', 'Masebe', 'Masugwa', 'Kisungu']}}

Grouped Locations

You can also access grouped locations such as all districts, wards and street as shown below;

>>> import mtaa
>>> mtaa.wards
......
>>> len(mtaa.wards)
3964
>>> mtaa.districts
......
>>> len(mtaa.districts)
158
>>>mtaa.streets
.....
>>> len(mtaa.streets)
16741

From other languages ?

Incase you're from other languages than Python you might wanna take a look at these general purpose APIS

• MtaaAPI
• Location-api

Give it a star

If you found this repository useful, give it a star so as the whole galaxy of developer can get to know it, you can also keep in touch with me on twitter.

Bug bounty?

If you encounter issue with the usage of the package, feel free raise an issue so as we can fix it as soon as possible(ASAP) or just reach me directly through email isaackeinstein(at)gmail.com.

Pull Requests

If you have something to add I welcome pull requests on improvement , you're helpful contribution will be merged as soon as possible

Disclaimer

All the location I used to build this repository, I got from an public repository titled tanzania-locations-db, I'm not responsible for any kind of misinformation in it, I tried to locate my home with it found its pretty accurate, so use it to your own risk

Credits

All the credits to ;

• kalebu
• HackEAC
• Future contributors

Related Opensource Projects

• MtaaAPI
• Location-API
• rgeocode
• Reverse geocoder
• tanzaniageodata
• location-demographia