cryptodatapy.extract.web
Submodules
Classes
Retrieves data from AQR data sets. |
|
Web is an abstract base class which provides a blueprint for properties and methods for the |
Package Contents
- class cryptodatapy.extract.web.AQR(categories=None, indexes: Dict[str, List[str]] | None = None, assets: Dict[str, List[str]] | None = None, markets: Dict[str, List[str]] | None = None, market_types=None, fields: Dict[str, List[str]] | None = None, frequencies=None, base_url: str = data_cred.aqr_base_url, file_formats: str | List[str] | None = 'xlsx')
Bases:
cryptodatapy.extract.web.web.WebRetrieves data from AQR data sets.
- get_indexes_info() None
Get indexes info.
- get_assets_info() None
Get assets info.
- get_markets_info() None
Get markets info.
- static get_fields_info(data_type: str | None = 'market', cat: str | None = None) Dict[str, List[str]]
Get fields info.
- Parameters:
data_type (str, {'market', 'on-chain', 'off-chain'}, default 'market') – Type of data.
cat (str, {'crypto', 'eqty', 'fx', 'rates', 'cmdty', 'macro'}, optional, default None) – Asset class or time series category.
- Returns:
fields – Dictionary with info on available fields, by category.
- Return type:
dictionary
- set_excel_params(data_req: cryptodatapy.extract.datarequest.DataRequest, ticker: str) Dict[str, str | int]
Sets excel parameters for reading excel files.
- Parameters:
data_req (DataRequest) – Parameters of data request in CryptoDataPy format.
ticker (str) – Ticker symbol.
- Returns:
dict – Dictionary with params to read excel file.
- Return type:
dictionary
- get_series(data_req: cryptodatapy.extract.datarequest.DataRequest) Dict[str, pandas.DataFrame]
Gets series from AQR data file.
- Parameters:
data_req (DataRequest) – Parameters of data request in CryptoDataPy format.
- Returns:
dfs_dict – Dictionary with ticker-dataframe key-value pairs.
- Return type:
dictionary
- static wrangle_data_resp(data_req: cryptodatapy.extract.datarequest.DataRequest, data_resp: Dict[str, pandas.DataFrame]) pandas.DataFrame
Wrangle data response.
- Parameters:
data_req (DataRequest) – Parameters of data request in CryptoDataPy format.
data_resp (Dictionary) – Dictionary with ticker-dataframe key-value pairs.
- Returns:
df – Wrangled dataframe with DatetimeIndex (level 0), ticker (level 1), and values for market or macro series for selected fields (cols), in tidy format.
- Return type:
pd.DataFrame
- get_tidy_data(data_req: cryptodatapy.extract.datarequest.DataRequest) pandas.DataFrame
Gets data from FRED and wrangles the data response into tidy data format.
- Parameters:
data_req (DataRequest) – Parameters of data request in CryptoDataPy format.
- Returns:
df – Dataframe with DatetimeIndex (level 0), tickers (level 1) and actual values (cols), in tidy data format.
- Return type:
pd.DataFrame - MultiIndex
- check_params(data_req: cryptodatapy.extract.datarequest.DataRequest) None
Checks the data request parameters before requesting data to reduce API calls and improve efficiency.
- get_data(data_req: cryptodatapy.extract.datarequest.DataRequest) pandas.DataFrame
Get data.
Parameters data_req: DataRequest
Parameters of data request in CryptoDataPy format.
- Returns:
df – DataFrame with DatetimeIndex (level 0), ticker (level 1), and values for selected fields (cols), in tidy format.
- Return type:
pd.DataFrame - MultiIndex
- class cryptodatapy.extract.web.Web(categories, assets, indexes, markets, market_types, fields, frequencies, base_url, file_formats)
Bases:
abc.ABCWeb is an abstract base class which provides a blueprint for properties and methods for the web subclass.
- property categories
Returns a list of available categories for the data vendor.
- property assets
Returns a list of available assets for the data vendor.
- property indexes
Returns a list of available indices from the web page.
- property markets
Returns a list of available markets for the data vendor.
- property market_types
Returns a list of available market types for the data vendor.
- property fields
Returns a list of available fields for the data vendor.
- property frequencies
Returns a list of available data frequencies for the data vendor.
- property base_url
Returns the base url for the data vendor.
- property file_formats
Returns the file formats for the files on the web page.
- abstractmethod get_indexes_info()
Gets info for available indexes from the data vendor.
- abstractmethod get_assets_info()
Gets info for available assets from the data vendor.
- abstractmethod get_markets_info()
Gets info for available markets from the data vendor.
- abstractmethod get_fields_info(data_type: str | None)
Gets info for available fields from the data vendor.
- Parameters:
data_type (Optional[str]) – A string containing the data type to filter the data vendor’s fields
- abstractmethod get_data(data_req: cryptodatapy.extract.datarequest.DataRequest) pandas.DataFrame
Submits get data request to API.
- Parameters:
data_req (DataRequest) – A DataRequest object containing the request parameters.
- static wrangle_data_resp(data_req: cryptodatapy.extract.datarequest.DataRequest, data_resp: Dict[str, Any] | pandas.DataFrame) pandas.DataFrame
- Abstractmethod:
Wrangles data response from data vendor API into tidy format.
- Parameters:
data_req (DataRequest) – A DataRequest object containing the request parameters.
data_resp (Union[Dict[str, Any], pd.DataFrame]) – A dictionary or DataFrame containing the data response from the data vendor API.