chart_me

Imports core chart_me function for end users.

Typical usage example: import chart_me as ce ce.chart_me(df, col1, col2…)

Subpackages

• chart_me.charting_assembly_strategy
  • chart_me.charting_assembly_strategy.bivariate
  • chart_me.charting_assembly_strategy.univariate

Submodules

• chart_me.chart_configs
• chart_me.chart_me_logic
• chart_me.data_validation_strategy
• chart_me.datatype_infer_strategy
• chart_me.errors
• chart_me.pandas_util

Package Contents

Functions

chart_me(df: pandas.DataFrame, *col_args: str, chart_confs: Type[chart_me.chart_configs.ChartConfig] = ChartConfig) → None

validates, infers data type, assembles and displays charts

Attributes

__version__

chart_me.__version__ = 0.1.5

chart_me.chart_me(df: pandas.DataFrame, *col_args: str, chart_confs: Type[chart_me.chart_configs.ChartConfig] = ChartConfig) → None

validates, infers data type, assembles and displays charts

Parameters

• df – pandas dataframe

• cols_args – position only collection of column names to render # TODO-(ptrn)

• chart_confs – Manages all settings for Chart creations. Defaults to chart_config.ChartConfig -vdefines three classes validate_column_strategy, datatype_infer_strategy, assemble_charts_strategy

Raises

ValueError – check number of columns