A Python package for reading, storing, & analyzing data from Public Data APIs.
It provides modules for reading & parsing data from URL, storing data using a wrapper for SQLite, and performing some statistics.
Download and unzip the package then run the following command:
python setup.py install
WebData class for reading data returned from URL, and parsing JSON to dictionary object.
import insights
data = insights.webdata.WebData("http://www.json-generator.com/api/json/get/bMUULAzmaa?indent=2")
print(data.parseJson())
Database class acts like a wrapper SQLite. It provides variety of methods that hides complexity.
import insights
db = insights.database.Database()
d = dict(
id = dict(type='INTEGER', auto = True, primary = True),
name = dict(type='TEXT', not_null = True),
age = dict(type='INT')
)
# create table
db.create('users', d)
# insert rows
db.insert('users', dict(name = 'omar', age = 22))
db.insert('users', dict(name = 'alex', age = 23))
db.insert('users', dict(name = 'peter', age = 21))
# last inserted id
print(db.lastInsertedId())
# print users
db.getAll('users').printResult()
db.getById('users', '1').printResult()
# counting
print(db.count('users', dict(age='22')))
print(db.countAll('users'))
# delete
db.deleteById('users', '2')
# update
db.updateById('users', dict(name='ALEX', age = 25), 2)
# number of affected rows by last query
print(db.rowsAffected())
# close connection
db.close()
Stats class for performing some simple statistics on a list of values.
import insights
lst = [6, 3 , 11 , 16 , 8 , 6 , 15 , 7]
Stats = insights.stats.Stats
print("Average\t", Stats.average(lst))
print("MD\t", Stats.meanDeviation(lst))
print("Count 7\t", Stats.count(lst, 7))
print("Length\t", Stats.length(lst))
print("Max\t", Stats.max(lst))
print("Min\t", Stats.min(lst))
print("Range\t", Stats.range(lst))
print("Sum\t", Stats.sum(lst))
print("Sort\t", Stats.sort(lst))
print("Variance", Stats.variance(lst))
print("SD\t", Stats.standardDeviation(lst))
print("Median\t", Stats.median(lst))
Trade class is an application that uses insights package to retrieve data about Exports & Imports grouped by Commodity.
It fetches the data(JSON string) from URL, saves it to SQLite database, and perform some statistics.
The generated table will look like(doesn't include all data, nor all statistics):
======== ======= ======= ======= ======= Date E::Oil I::Oil E::Tea I::Tea ======== ======= ======= ======= ======= 2013 12006.2 12495.7 14.0 239.4 2012 11225.0 11774.5 12.7 180.1 ........ ....... ....... ....... ....... average 10064.2 2183.83 7.72 151.14 variance 9037043 1077840 22.89 2585.42 SD 3006.17 3283.05 4.78 50.85 max 14472.6 12495.7 14.7 239.4 min 3910.3 2549.7 2.0 88.1 ======== ======= ======= ======= =======
NOTE Trade application is inside app/
folder.
I've written this package in my free time during my studies. If you find it useful, please support the project by spreading the word.
Contribute by creating new issues, sending pull requests on Github or you can send an email at: omar.elgabry.93@gmail.com
Built under MIT license.