Metadata-Version: 2.1
Name: mapizy-property-analytics
Version: 0.1.4
Summary: Python API for Mapizy Property Analytics
Home-page: https://mapizy-studio.com
Author: Milad Ghorbani
Author-email: mi.ghorbani.g@gmail.com
License: MIT
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENCE
Requires-Dist: requests
Requires-Dist: datetime

# Mapizy Property Analytics- Python API

Property analytics is an machine learning based engine that helps industries like insurance, real-estate, and etc. Python API is useful to use Mapizy property analytics to developers simply using python language.

## Usage

1. First please register and make an account in [Mapizy Studio](https://mapizy-studio.com) and purchase the appropriate pricing plan or use the Free Tier mode.

2. Go to API section and make API_key and API_url for your account.

3. Install the package using 
   ​	

   ```C
   pip install mapizy-property-analytics
   ```

4. If you want to process analysis for a specific property you can use the following code:

   ```python
   from mapizy_property_analytics import mapizy_property_analytics
   API_url = '<YOUR API URL>'
   API_key = '<YOUR API KEY>'
   Address = '<The property address>' # example: '5 Pele Ave Salisbury East Salisbury SA 5109'
   First_date = '<First date in YYYY-MM-DD format>' # example: '2018-01-01
   Last_date = '<Last date in YYYY-MM-DD format>' # example: '2020-01-01
   Frequency = '<Image retrive frequency, can be 2-yearly, yearly, half-yearly, quarterly>'
   Analyse_type = '<Analyse type can be change or latest>' # example: 'change'
   mapizy_property_analytics.development_API(API_url,API_key,Address = Address,\
                                 First_date= First_date,Last_date = Last_date,\
                                 Frequency = Frequency,Analyse_type = Analyse_type)
   ```

5. All done



