Signature:
pyg.walk(
    df: 'pl.DataFrame | pd.DataFrame',
    gid: Union[int, str] = None,
    *,
    env: Literal['Jupyter', 'Streamlit'] = 'Jupyter',
    fieldSpecs: Dict[str, pygwalker.utils.gwalker_props.FieldSpec] = {},
    hideDataSourceConfig: bool = True,
    themeKey: Literal['vega', 'g2'] = 'g2',
    dark: Literal['media', 'light', 'dark'] = 'media',
    return_html: bool = False,
    **kwargs,
)
Docstring:
Walk through pandas.DataFrame df with Graphic Walker

Args:
    - df (pl.DataFrame | pd.DataFrame, optional): dataframe.
    - gid (Union[int, str], optional): GraphicWalker container div's id ('gwalker-{gid}')

Kargs:
    - env: (Literal['Jupyter' | 'Streamlit'], optional): The enviroment using pygwalker. Default as 'Jupyter'
    - fieldSpecs (Dict[str, FieldSpec], optional): Specifications of some fields. They'll been automatically inferred from `df` if some fields are not specified.
    - hideDataSourceConfig (bool, optional): Hide DataSource import and export button (True) or not (False). Default to True
    - themeKey ('vega' | 'g2'): theme type.
    - dark (Literal['media' | 'light' | 'dark']): 'media': auto detect OS theme.
    - return_html (bool, optional): Directly return a html string. Defaults to False.
File:      ~/Workspace/develop/pygwalker/pygwalker/gwalker.py
Type:      function

Init signature:
pyg.FieldSpec(
    semanticType: Literal['?', 'nominal', 'ordinal', 'temporal', 'quantitative'] = '?',
    analyticType: Literal['?', 'dimension', 'measure'] = '?',
    display_as: str = None,
)
Docstring:     
Field specification.

Args:
- semanticType: '?' | 'nominal' | 'ordinal' | 'temporal' | 'quantitative'. default to '?'.
- analyticType: '?' | 'dimension' | 'measure'. default to '?'.
- display_as: str. The field name displayed. None means using the original column name.
File:           ~/Workspace/develop/pygwalker/pygwalker/utils/gwalker_props.py
Type:           type
Subclasses: