Metadata-Version: 1.1
Name: tradingeconomics
Version: 0.2.194
Summary: Library to download data from Trading Economics API
Home-page: https://github.com/ieconomics/open-api
Author: Trading Economics
Author-email: olexandr.baturin@tradingeconomics.com
License: MIT
Download-URL: https://github.com/ieconomics/open-api/archive/v0.2.0.tar.gz
Description: Python version of Trading Economics API library.
        
        This package provides to Trading Economics API users easiest way to extract different kind of data using Python programming language.
        Available functions are:
        
        * getForecastData - Return forecast values by country, by indicator, by country and indicator. 
        
            Parameters:
            -----------
            country: string or list.
                     String to get data for one country. List of strings to get data for
                     several countries. For example, country = ['United States', 'Australia'].
            indicator: string or list.
                     String  to get data for one category. List of strings to get data for several calendar events.
                     For example, category = 'GDP Growth Rate' or 
                     category = ['Exports', 'Imports']
            output_type: string.
                     'dict'(default) for dictionary format output, 'df' for data frame,
                     'raw' for list of dictionaries without any parsing.  
            credentials: string.
                     User's credentials.
        * getHistoricalData - Return historical information for specific country and indicator.
        
            Parameters:
            -----------
            country: string or list.
                     String to get data for one country. List of strings to get data for
                     several countries. For example, country = ['United States', 'Australia'].
            indicator: string or list.
                     String  to get data for one category. List of strings to get data for several calendar events.
                     For example, category = 'GDP Growth Rate' or 
                     category = ['Exports', 'Imports']
            initDate: string with format: YYYY-MM-DD.
                     For example: '2011-01-01' 
            endDate: string with format: YYYY-MM-DD.
            output_type: string.
                     'dict'(default) for dictionary format output, 'df' for data frame,
                     'raw' for list of dictionaries without any parsing.
            credentials: string.
                     User's credentials.
        * getIndicatorData -  Return a list of all indicators, indicators by country or country-indicator pair.
        
            Parameters:
            -----------
            country: string or list.
                     String for one country information. List of strings for 
                     several countrys, for example country = ['country_name', 'country_name'].
            indicators: string or list.
                     String for one indicator. List of strings for several indicators, for example 
                     indicators = 'indicator_name' or 
                     indicators = ['indicator_name', 'indicator_name']
            output_type: string.
                     'dict'(default) for dictionary format output, 'df' for data frame,
                     'raw' for list of dictionaries directly from the web. 
            credentials: string.
                     User's credentials.
        * getMarketsData - Returns a list of available commodities, currencies, indeces or bonds and their latest values.
            Parameters:
            -----------
            marketsField: string.
                    Takes either one of 'commodity','currency',
                    'index' or 'bond' as options.
                     
            output_type: string.
                     'df'(default) for data frame,
                     'raw' for list of unparsed data. 
            credentials: string.
                     User's credentials.
        * getCalendarData - Return calendar events.
        
            Parameters:
            -----------
            country: string or list.
                     String to get data for one country. List of strings to get data for
                     several countries. For example, country = ['United States', 'Australia'].
            category:   string or list.
                     String  to get data for one category. List of strings to get data for several calendar events.
                     For example, category = 'GDP Growth Rate' or 
                     category = ['Exports', 'Imports']
            initDate: string with format: YYYY-MM-DD.
                     For example: '2011-01-01' 
            endDate: string with format: YYYY-MM-DD.
            output_type: string.
                     'dict'(default) for dictionary format output, 'df' for data frame,
                     'raw' for list of dictionaries without any parsing. 
            credentials: string.
                     User's credentials.
        
        Results are available in differente formats, such as : JSON, pandas.DataFrame or dictionary. 
Keywords: tradingeconomics,upload,data
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
