chart_me.chart_configs
Defines default Chart Config
Classes
Defines the protocol type for AssembleChartsStrategy |
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Default implementation of AssembleChartsStrategy |
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Protocol Definition for ValidateColumnStrategy |
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Default implentation of ValidateColumnStrategy |
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Defines protocol for InferDataTypeStrategy - requires infer_datatypes |
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Default logic to specificy metadata to drive chart assembly logic |
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Default Instance of Chart Config |
Module Contents
- class chart_me.chart_configs.AssembleChartsStrategy[source]
Bases:
ProtocolDefines the protocol type for AssembleChartsStrategy
Protocal requires 1 method — assemble_charts
- assemble_charts() List[altair.Chart | altair.HConcatChart][source]
Defines Protocal Type for AssembleChartsStrategy
- Parameters:
df (pd.DataFrame)
cols (List[str]) – at least 1 and no more then 2 at this time
infered_data_types (InferedDataTypes) – metadata required to guide viz logic
- Returns:
return a list of Altair visuals
- Return type:
List[Union[alt.Chart, alt.HConcatChart]]
- class chart_me.chart_configs.AssembleChartsStrategyDefault(df: pandas.DataFrame, cols: List[str], infered_data_types: chart_me.datatype_infer_strategy.InferedDataTypes, **kwargs)[source]
Default implementation of AssembleChartsStrategy
Default implementation strategy provided by chart_me. The core logic is provided by seperate modules depending on number of columns provided - so far 2 are build univariate & bivariate. More then 2 columns will throw an error
- assemble_charts() List[altair.Chart | altair.HConcatChart][source]
assembles charts based on columns count
- Returns:
A list of Altair Chart/Compound charts to display
- Raises:
InsufficientValidColumnsError – Will occur if no columns available after removing unsupported types.
NotImplementedError – Only support 1 or 2 columns at this time
- class chart_me.chart_configs.ValidateColumnStrategy[source]
Bases:
ProtocolProtocol Definition for ValidateColumnStrategy
- class chart_me.chart_configs.ValidateColumnStrategyDefault(df: pandas.DataFrame, col: str, *, override_null_rate: float = 0.95)[source]
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
- class chart_me.chart_configs.InferDataTypeStrategy[source]
Bases:
ProtocolDefines protocol for InferDataTypeStrategy - requires infer_datatypes
- abstract infer_datatypes() InferedDataTypes[source]
Only Method Required
- class chart_me.chart_configs.InferDataTypeStrategyDefault(df: pandas.DataFrame, cols: List[str], **kwargs)[source]
Default logic to specificy metadata to drive chart assembly logic
- _check_if_preaggregated_data(threshold: int = 100)[source]
First check determines aggregation - influences data type
- infer_datatypes() InferedDataTypes[source]
Core function of stategy is returning metadata to rendering engine
- Parameters:
df (pd.DataFrame) – pandas dataframe
cols (List[str]) – list of columns passed in from user
- Returns:
describes MetaData to engine
- Return type:
- class chart_me.chart_configs.ChartConfig[source]
Default Instance of Chart Config
- validate_column_strategy: Type[chart_me.data_validation_strategy.ValidateColumnStrategy]
- datatype_infer_strategy: Type[chart_me.datatype_infer_strategy.InferDataTypeStrategy]
- assemble_charts_strategy: Type[chart_me.charting_assembly_strategy.AssembleChartsStrategy]