chart_me.data_validation_strategy

Defines ValidateColumnStrategy Prototal & Defines a Default Implementation

The Protocol specifies 1 method - validate_column. The default implementation leverage module level Custom Exceptions

Typical usage example:

for c in cols:

#will raise an error if insufficient ValidateColumnStrategyDefault.validate_column_strategy(df, c).validate_column() # noqa: E501

Module Contents

Classes

ValidateColumnStrategy	Protocol Definition for ValidateColumnStrategy
ValidateColumnStrategyDefault	Default implentation of ValidateColumnStrategy

class chart_me.data_validation_strategy.ValidateColumnStrategy

Bases: Protocol

Protocol Definition for ValidateColumnStrategy

validate_column(self) → bool

Only required method

class chart_me.data_validation_strategy.ValidateColumnStrategyDefault(df: pandas.DataFrame, col: str, *, override_null_rate: float = 0.95)

Default implentation of ValidateColumnStrategy

Class is leverage to evaluate whether column selected is viable for charting

null_rate

A decimal indicating what percent of null entries in column is ok

null_rate :float = 0.95

validate_column(self) → bool

Logic the evaluate column

Returns

True or Raises an Error #TODO think of better strategy

Raises

• ColumnDoesNotExistsError –

• ColumnAllNullError –

• ColumnTooManyNullsError –