tradingeconomics 0.2.193

Library to download data from Trading Economics API

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.