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ami2py-0.8.1


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توضیحات

Python Package for reading a amibroker database
ویژگی مقدار
سیستم عامل -
نام فایل ami2py-0.8.1
نام ami2py
نسخه کتابخانه 0.8.1
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Dark Ligt alias FB2011B
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/F2011B/ami2py
آدرس اینترنتی https://pypi.org/project/ami2py/
مجوز MIT
ami2py ========================== [![Build Status](https://travis-ci.org/F2011B/ami2py.svg?branch=master)](https://travis-ci.org/F2011B/ami2py) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![PyPi version](https://pypip.in/v/ami2py/badge.png)](https://crate.io/packages/ami2py/) [![PyPi downloads](https://pypip.in/d/ami2py/badge.png)](https://crate.io/packages/ami2py/) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![ami2py](https://snyk.io/advisor/python/ami2py/badge.svg)](https://snyk.io/advisor/python/ami2py) Python Package for reading and writing from and to an amibroker database.<br/> This package is using construct for defining the binary structures used to access the amibroker database, see [Construct documentation](https://construct.readthedocs.io/en/latest/). <br/> The specification of the binary structure was taken from the official amibroker C++ sdk api documentation. However, this is not an official amibroker database api. <br/> Therefore, no warranty is given and handle with care. <br/> Improvement requests are always welcome.<br/> This module can be used to create a database and write symbol data to that. <br/> However, it seems to be a good idea to use the official quote downloader program for productive usage.<br/> Examples --------- Creating a Database from scratch and adding symbol data to the database. To use the underlying constructs in compiled form, use_compiled can be set to True within the AmiDataBase constructor. This is a more or less experimental feature. >>> from ami2py import AmiDataBase, SymbolEntry >>> db = AmiDataBase(db_folder) >>> db.add_symbol("AAPL") >>> db.append_data_to_symbol( "AAPL", SymbolEntry( Close=200.0, High=230.0, Low=190.0, Open=210.0, Volume=200003122.0, Month=12, Year=2020, Day=17, ), ) >>> db.write_database() Reading a list of symbols contained in the database. >>> symbols = db.get_symbols() >>> symbols ["AAPL"] Getting values for a symbol in a pandas compatible dicitonary format. >>> db.get_dict_for_symbol("SPCE") { "Open": [20.0,....], "Close": [200.0,....], "High": [230.0,.....], "Low": [190.0,.....], "Open": [210.0,.......], "Volume": [200003122.0,.....], "Month": [12,.......], "Year": [2020,.......], "Day": [17,........], } Using a list container facade for fast reading of symbol data. The previous mentioned methods to read symbol data from the database use construct to convert the binary array into a hierarchical object structure. Creating those objects during the load process, causes high delay during loading. Therefore a symbol facade called AmiSymbolDataFacade was created to read data only in case it is necessary. >>> data = db.get_fast_symbol_data("SPCE") >>> data[0] {'Year': 2017, 'Month': 9, 'Day': 29, 'Hour': 10, 'Minute': 63, 'Second': 63, 'MilliSec': 258, 'MicroSec': 255, 'Reserved': 1, 'Isfut': 1, 'Close': 10.100000381469727, 'Open': 10.5, 'High': 10.5, 'Low': 10.0, 'Volume': 212769.0, 'AUX1': 0.0, 'AUX2': 0.0, 'TERMINATOR': 0.0 } >>> newslice=data[0:10] >>> newslice[0] {'Year': 2017, 'Month': 9, ...... } >>> newslice[1] {'Year': 2017, 'Month': 10, ...... } Todos -------------------- * Write tests for intraday data, currently data structures is able to handle intraday data. But no tests had been written, until now. This is considered mandatory to reach version 1.0.0 * Add docstrings to the source code. This seems to be a minor task.


زبان مورد نیاز

مقدار نام
>= 3.6 Python


نحوه نصب


نصب پکیج whl ami2py-0.8.1:

    pip install ami2py-0.8.1.whl


نصب پکیج tar.gz ami2py-0.8.1:

    pip install ami2py-0.8.1.tar.gz