DTypes

For Deirokay, as in any other application, data types are an important concept. So, when you are parsing your data with Deirokay, there are a few datatypes that you might want to make use of.

All available datatypes are defined in the deirokay.enums.DTypes enumeration class. Each Deirokay Dtype is associated to a Treater class from deirokay.parser.treaters, which is responsible for parsing and converting the data to the specified datatype.

Below you will find a list of supported datatypes and available parameters:

DTypes	String-like alias	Supported Arguments	Default	Argument Description
All DTypes		nullable	True	Values can be null
All DTypes		unique	False	Values should be unique
All DTypes		rename	None	Rename column
INTEGER	‘integer’	thousand_sep	None	Thousand separator (e.g., “1,988”)
FLOAT	‘float’	thousand_sep	None	Thousand separator (e.g., “1,988”)
FLOAT	‘float’	decimal_sep	‘.’	Decimal separator (e.g., “3.14”)
DECIMAL	‘decimal’	decimal_sep	‘.’	Decimal separator (e.g., “3.14”)
DECIMAL	‘decimal’	thousand_sep	None	Thousand separator (e.g., “1,988”)
DECIMAL	‘decimal’	decimal_places	None	Decimal places (e.g., 2 for “1.25”)
BOOLEAN	‘boolean’	truthies	[‘true’,’True’]	Values taken as True
BOOLEAN	‘boolean’	falsies	[‘false’, ‘False’]	Values taken as False
BOOLEAN	‘boolean’	ignore_case	False	Ignore case when evaluating True/False
BOOLEAN	‘boolean’	default_value	None	Value to use if not truthy nor falsy
DATETIME	‘datetime’	format	‘%Y-%m-%d %H:%M:%S’	Date Time format
TIME	‘time’	format	‘%H:%M:%S’	Time format
DATE	‘date’	format	‘%Y-%m-%d’	Date format
STRING	‘string’	treat_null_as	None	Value to replace when null (e.g., “”)