DataSource

Abstract base class for data sources.

Functions

funcload_data(self) → pd.DataFrame

Load data from the data source.

paramself

Returns

pandas.pandas.DataFrame

funcsave_data(self, data, overwrite=False)

Save data to the data source. Accepts single dict, list of dicts, or DataFrame.

paramself

paramdataUnion[Dict[str, Any], List[Dict[str, Any]], pd.DataFrame]

paramoverwritebool

= False

Returns

None

funcquery_data(self, conditions) → pd.DataFrame

Query data from the data source based on specified conditions.

paramself

paramconditionsDict[str, Any]

Returns

pandas.pandas.DataFrame

funcupdate_data(self, conditions, updates)

Update existing data in the data source based on specified conditions.

paramself

paramconditionsDict[str, Any]

paramupdatesT

Returns

None

funcdelete_data(self, conditions)

Delete data from the data source based on specified conditions.

paramself

paramconditionsDict[str, Any]

Returns

None

funcgrab_column(self, column_name) → pd.Series

Retrieve a specific column from the data source.

paramself

paramcolumn_namestr

Returns

pandas.pandas.Series

funcgrab_row(self, index) → pd.Series

Retrieve a specific row from the data source.

paramself

paramindexint

Returns

pandas.pandas.Series

func_normalize_input(data) → pd.DataFrame | None

Convert dict, list of dicts, or DataFrame to a DataFrame.

paramdatadict, list of dict, or pd.DataFrame

Input data in any supported format

Returns

pd.DataFrame | None

Normalized DataFrame, or None when the input is empty

Functions

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