PandasFilesystemDatasource
Pandas based Datasource for filesystem based data assets.
Add a csv asset to the datasource.
Add an excel asset to the datasource.
Add a feather asset to the datasource.
Add a fwf asset to the datasource.
Add a hdf asset to the datasource.
Add a html asset to the datasource.
Add a json asset to the datasource.
Add an orc asset to the datasource.
Add a parquet asset to the datasource.
Add a pickle asset to the datasource.
Add a sas asset to the datasource.
Add a spss asset to the datasource.
Add a stata asset to the datasource.
Add a xml asset to the datasource.
Removes the DataAsset referred to by asset_name from internal list of available DataAsset objects.
- Parameters
name – name of DataAsset to be deleted.
Returns the DataAsset referred to by asset_name
- Parameters
name – name of DataAsset sought.
- Returns
_DataAssetT – if named "DataAsset" object exists; otherwise, exception is raised.
Signature
class great_expectations.datasource.fluent.PandasFilesystemDatasource(&42;, type: Literal['pandas_filesystem'] = 'pandas_filesystem', name: str, id: Optional[uuid.UUID] = None, assets: List[great_expectations.datasource.fluent.data_asset.path.file_asset.FileDataAsset] = [], base_directory: pathlib.Path, data_context_root_directory: Optional[pathlib.Path] = None)
Methods
Signature
add_csv_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afab056d0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afab05790> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afab058e0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afab05bb0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afab05a90> = None, sep: typing.Optional[str] = None, delimiter: typing.Optional[str] = None, header: Union[int, Sequence[int], None, Literal['infer']] = 'infer', names: Union[Sequence[str], None] = None, index_col: Union[IndexLabel, Literal[False], None] = None, usecols: typing.Optional[typing.Union[int, str, typing.Sequence[int]]] = None, dtype: typing.Optional[dict] = None, engine: Union[CSVEngine, None] = None, true_values: typing.Optional[typing.List] = None, false_values: typing.Optional[typing.List] = None, skipinitialspace: bool = False, skiprows: typing.Optional[typing.Union[typing.Sequence[int], int]] = None, skipfooter: int = 0, nrows: typing.Optional[int] = None, na_values: Union[Sequence[str], None] = None, keep_default_na: bool = True, na_filter: bool = True, verbose: bool = False, skip_blank_lines: bool = True, parse_dates: Union[bool, Sequence[str], None] = None, infer_datetime_format: bool = None, keep_date_col: bool = False, date_format: typing.Optional[str] = None, dayfirst: bool = False, cache_dates: bool = True, iterator: bool = False, chunksize: typing.Optional[int] = None, compression: CompressionOptions = 'infer', thousands: typing.Optional[str] = None, decimal: str = '.', lineterminator: typing.Optional[str] = None, quotechar: str = '"', quoting: int = 0, doublequote: bool = True, escapechar: typing.Optional[str] = None, comment: typing.Optional[str] = None, encoding: typing.Optional[str] = None, encoding_errors: typing.Optional[str] = 'strict', dialect: typing.Optional[str] = None, on_bad_lines: str = 'error', delim_whitespace: bool = False, low_memory: bool = True, memory_map: bool = False, float_precision: Union[Literal['high', 'legacy'], None] = None, storage_options: Union[StorageOptions, None] = None, dtype_backend: DtypeBackend = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_excel_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afab06b10> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afab06ae0> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afab070e0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afab06a50> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afab07ad0> = None, sheet_name: typing.Optional[typing.Union[str, int, typing.List[typing.Union[int, str]]]] = 0, header: Union[int, Sequence[int], None] = 0, names: typing.Optional[typing.List[str]] = None, index_col: Union[int, Sequence[int], None] = None, usecols: typing.Optional[typing.Union[int, str, typing.Sequence[int]]] = None, dtype: typing.Optional[dict] = None, engine: Union[Literal['xlrd', 'openpyxl', 'odf', 'pyxlsb'], None] = None, true_values: Union[Iterable[str], None] = None, false_values: Union[Iterable[str], None] = None, skiprows: typing.Optional[typing.Union[typing.Sequence[int], int]] = None, nrows: typing.Optional[int] = None, na_values: typing.Any = None, keep_default_na: bool = True, na_filter: bool = True, verbose: bool = False, parse_dates: typing.Union[typing.List, typing.Dict, bool] = False, date_format: typing.Optional[str] = None, thousands: typing.Optional[str] = None, decimal: str = '.', comment: typing.Optional[str] = None, skipfooter: int = 0, storage_options: Union[StorageOptions, None] = None, dtype_backend: DtypeBackend = None, engine_kwargs: typing.Optional[typing.Dict] = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_feather_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afaafca70> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afaafd070> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afaafd1c0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afaafd370> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afaafd430> = None, columns: Union[Sequence[str], None] = None, use_threads: bool = True, storage_options: Union[StorageOptions, None] = None, dtype_backend: DtypeBackend = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_fwf_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afaafdbb0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afaafdc70> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afaafddc0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afaafdf70> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afaafe030> = None, colspecs: Union[Sequence[Tuple[int, int]], str, None] = 'infer', widths: Union[Sequence[int], None] = None, infer_nrows: int = 100, dtype_backend: DtypeBackend = None, kwargs: typing.Optional[dict] = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_hdf_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afaafe900> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afaafe9c0> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afaafeb10> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afaafecc0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afaafed80> = None, key: typing.Any = None, mode: str = 'r', errors: str = 'strict', where: typing.Optional[typing.Union[str, typing.List]] = None, start: typing.Optional[int] = None, stop: typing.Optional[int] = None, columns: typing.Optional[typing.List[str]] = None, iterator: bool = False, chunksize: typing.Optional[int] = None, kwargs: typing.Optional[dict] = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_html_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afaaff560> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afaaff620> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afaaff770> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afaaff920> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afaaff9e0> = None, match: Union[str, Pattern] = '.+', flavor: typing.Optional[str] = None, header: Union[int, Sequence[int], None] = None, index_col: Union[int, Sequence[int], None] = None, skiprows: typing.Optional[typing.Union[typing.Sequence[int], int]] = None, attrs: typing.Optional[typing.Dict[str, str]] = None, parse_dates: bool = False, thousands: typing.Optional[str] = ',', encoding: typing.Optional[str] = None, decimal: str = '.', converters: typing.Optional[typing.Dict] = None, na_values: Union[Iterable[object], None] = None, keep_default_na: bool = True, displayed_only: bool = True, extract_links: Literal[None, 'header', 'footer', 'body', 'all'] = None, dtype_backend: DtypeBackend = None, storage_options: StorageOptions = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_json_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afa984740> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afa984800> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afa984950> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afa984b00> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afa984bc0> = None, orient: typing.Optional[str] = None, typ: Literal['frame', 'series'] = 'frame', dtype: typing.Optional[dict] = None, convert_axes: typing.Optional[bool] = None, convert_dates: typing.Union[bool, typing.List[str]] = True, keep_default_dates: bool = True, precise_float: bool = False, date_unit: typing.Optional[str] = None, encoding: typing.Optional[str] = None, encoding_errors: typing.Optional[str] = 'strict', lines: bool = False, chunksize: typing.Optional[int] = None, compression: CompressionOptions = 'infer', nrows: typing.Optional[int] = None, storage_options: Union[StorageOptions, None] = None, dtype_backend: DtypeBackend = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_orc_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afa985730> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afa9857f0> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afa985940> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afa985af0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afa985bb0> = None, columns: typing.Optional[typing.List[str]] = None, dtype_backend: DtypeBackend = None, kwargs: typing.Optional[dict] = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_parquet_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afa986300> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afa9863c0> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afa986510> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afa9866c0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afa986780> = None, engine: str = 'auto', columns: typing.Optional[typing.List[str]] = None, storage_options: Union[StorageOptions, None] = None, use_nullable_dtypes: bool = None, dtype_backend: DtypeBackend = None, kwargs: typing.Optional[dict] = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_pickle_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afa986f60> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afa987020> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afa987170> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afa987320> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afa9873e0> = None, compression: CompressionOptions = 'infer', storage_options: Union[StorageOptions, None] = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_sas_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afa987ad0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afa987b90> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afa987ce0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afa987e90> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afa987f50> = None, format: typing.Optional[str] = None, index: typing.Optional[str] = None, encoding: typing.Optional[str] = None, chunksize: typing.Optional[int] = None, iterator: bool = False, compression: CompressionOptions = 'infer', &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_spss_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b0740> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b0800> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b0950> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b0b00> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b0bc0> = None, usecols: typing.Optional[typing.Union[int, str, typing.Sequence[int]]] = None, convert_categoricals: bool = True, dtype_backend: DtypeBackend = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_stata_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b13a0> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b1460> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b15b0> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b1760> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b1820> = None, convert_dates: bool = True, convert_categoricals: bool = True, index_col: typing.Optional[str] = None, convert_missing: bool = False, preserve_dtypes: bool = True, columns: Union[Sequence[str], None] = None, order_categoricals: bool = True, chunksize: typing.Optional[int] = None, iterator: bool = False, compression: CompressionOptions = 'infer', storage_options: Union[StorageOptions, None] = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
add_xml_asset(name: str, &42;, id: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b2120> = None, order_by: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b21e0> = None, batch_metadata: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b2330> = None, batch_definitions: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b24e0> = None, connect_options: <pydantic.v1.fields.DeferredType object at 0x7f1afa9b25a0> = None, xpath: str = './&42;', namespaces: typing.Optional[typing.Dict[str, str]] = None, elems_only: bool = False, attrs_only: bool = False, names: Union[Sequence[str], None] = None, dtype: typing.Optional[dict] = None, encoding: typing.Optional[str] = 'utf-8', stylesheet: Union[FilePath, None] = None, iterparse: typing.Optional[typing.Dict[str, typing.List[str]]] = None, compression: CompressionOptions = 'infer', storage_options: Union[StorageOptions, None] = None, dtype_backend: DtypeBackend = None, &42;&42;extra_data: typing.Any) → pydantic.BaseModel
Signature
delete_asset(name: str) → None
Signature
get_asset(name: str) → great_expectations.datasource.fluent.interfaces._DataAssetT