dgbowl_schemas.dgpost.recipe_2_1 package
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.Recipe
Bases:
BaseModel
A
pydantic.BaseModel
implementingRecipe-2.1
model fordgpost
.Show JSON schema
{ "title": "Recipe", "description": "A :class:`pydantic.BaseModel` implementing ``Recipe-2.1`` model for :mod:`dgpost`.", "type": "object", "properties": { "version": { "const": "2.1", "enum": [ "2.1" ], "title": "Version", "type": "string" }, "load": { "anyOf": [ { "items": { "$ref": "#/$defs/Load" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Load" }, "extract": { "anyOf": [ { "items": { "$ref": "#/$defs/Extract" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Extract" }, "pivot": { "anyOf": [ { "items": { "$ref": "#/$defs/Pivot" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Pivot" }, "transform": { "anyOf": [ { "items": { "$ref": "#/$defs/Transform" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Transform" }, "plot": { "anyOf": [ { "items": { "$ref": "#/$defs/Plot" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Plot" }, "save": { "anyOf": [ { "items": { "$ref": "#/$defs/Save" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Save" } }, "$defs": { "At": { "additionalProperties": false, "properties": { "steps": { "default": null, "items": { "type": "string" }, "title": "Steps", "type": "array" }, "indices": { "default": null, "items": { "type": "integer" }, "title": "Indices", "type": "array" }, "timestamps": { "default": null, "items": { "type": "number" }, "title": "Timestamps", "type": "array" } }, "title": "At", "type": "object" }, "AxArgs": { "additionalProperties": true, "properties": { "cols": { "anyOf": [ { "maxItems": 2, "minItems": 2, "prefixItems": [ { "type": "integer" }, { "type": "integer" } ], "type": "array" }, { "type": "null" } ], "default": null, "title": "Cols" }, "rows": { "anyOf": [ { "maxItems": 2, "minItems": 2, "prefixItems": [ { "type": "integer" }, { "type": "integer" } ], "type": "array" }, { "type": "null" } ], "default": null, "title": "Rows" }, "series": { "items": { "$ref": "#/$defs/Series" }, "title": "Series", "type": "array" }, "methods": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Methods" }, "legend": { "default": false, "title": "Legend", "type": "boolean" } }, "required": [ "series" ], "title": "AxArgs", "type": "object" }, "Column": { "additionalProperties": false, "properties": { "key": { "title": "Key", "type": "string" }, "as": { "title": "As", "type": "string" } }, "required": [ "key", "as" ], "title": "Column", "type": "object" }, "Constant": { "additionalProperties": false, "properties": { "value": { "title": "Value" }, "as": { "title": "As", "type": "string" }, "units": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Units" } }, "required": [ "value", "as" ], "title": "Constant", "type": "object" }, "Extract": { "additionalProperties": false, "description": "Extract columns from loaded files into tables, interpolate as necessary.", "properties": { "into": { "title": "Into", "type": "string" }, "from": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "From" }, "at": { "anyOf": [ { "$ref": "#/$defs/At" }, { "type": "null" } ], "default": null }, "columns": { "anyOf": [ { "items": { "$ref": "#/$defs/Column" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Columns" }, "constants": { "anyOf": [ { "items": { "$ref": "#/$defs/Constant" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Constants" } }, "required": [ "into" ], "title": "Extract", "type": "object" }, "Load": { "additionalProperties": false, "description": "Select external files (``NetCDF`` or ``json`` datagrams, ``pkl`` tables) to load.", "properties": { "as": { "title": "As", "type": "string" }, "path": { "title": "Path", "type": "string" }, "type": { "default": "datagram", "enum": [ "netcdf", "datagram", "table" ], "title": "Type", "type": "string" }, "check": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": null, "title": "Check" } }, "required": [ "as", "path" ], "title": "Load", "type": "object" }, "Pivot": { "additionalProperties": false, "description": "Reorder tables by grouping rows into arrays using columns as indices.", "properties": { "table": { "title": "Table", "type": "string" }, "as": { "title": "As", "type": "string" }, "using": { "anyOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ], "title": "Using" }, "columns": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Columns" }, "timestamp": { "default": "first", "enum": [ "first", "last", "mean" ], "title": "Timestamp", "type": "string" }, "timedelta": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Timedelta" } }, "required": [ "table", "as", "using" ], "title": "Pivot", "type": "object" }, "Plot": { "additionalProperties": false, "description": "Plot data from a single table.", "properties": { "table": { "title": "Table", "type": "string" }, "nrows": { "default": 1, "title": "Nrows", "type": "integer" }, "ncols": { "default": 1, "title": "Ncols", "type": "integer" }, "fig_args": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Fig Args" }, "ax_args": { "items": { "$ref": "#/$defs/AxArgs" }, "title": "Ax Args", "type": "array" }, "style": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Style" }, "save": { "anyOf": [ { "$ref": "#/$defs/PlotSave" }, { "type": "null" } ], "default": null } }, "required": [ "table", "ax_args" ], "title": "Plot", "type": "object" }, "PlotSave": { "additionalProperties": true, "properties": { "as": { "title": "As", "type": "string" }, "tight_layout": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Tight Layout" } }, "required": [ "as" ], "title": "PlotSave", "type": "object" }, "Save": { "additionalProperties": false, "description": "Save a table into an external (``pkl``, ``xlsx``) file.", "properties": { "table": { "title": "Table", "type": "string" }, "as": { "title": "As", "type": "string" }, "type": { "anyOf": [ { "enum": [ "pkl", "json", "xlsx", "csv", "nc" ], "type": "string" }, { "type": "null" } ], "default": null, "title": "Type" }, "columns": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Columns" }, "sigma": { "default": true, "title": "Sigma", "type": "boolean" } }, "required": [ "table", "as" ], "title": "Save", "type": "object" }, "Series": { "additionalProperties": true, "properties": { "y": { "title": "Y", "type": "string" }, "x": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "X" }, "kind": { "default": "scatter", "enum": [ "scatter", "line", "errorbar" ], "title": "Kind", "type": "string" }, "index": { "anyOf": [ { "$ref": "#/$defs/SeriesIndex" }, { "type": "null" } ], "default": { "from_zero": true, "to_units": null } } }, "required": [ "y" ], "title": "Series", "type": "object" }, "SeriesIndex": { "additionalProperties": false, "properties": { "from_zero": { "default": true, "title": "From Zero", "type": "boolean" }, "to_units": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "To Units" } }, "title": "SeriesIndex", "type": "object" }, "Transform": { "additionalProperties": false, "description": "Calculate and otherwise transform the data in the tables.", "properties": { "table": { "title": "Table", "type": "string" }, "with": { "title": "With", "type": "string" }, "using": { "items": { "type": "object" }, "title": "Using", "type": "array" } }, "required": [ "table", "with", "using" ], "title": "Transform", "type": "object" } }, "additionalProperties": false, "required": [ "version" ] }
- Config:
extra: str = forbid
- field version: Literal['2.1'] [Required]
- field load: Sequence[Load] | None = None
Select external files (
NetCDF
orjson
datagrams,pkl
tables) to load.
- field extract: Sequence[Extract] | None = None
Extract columns from loaded files into tables, interpolate as necessary.
- field pivot: Sequence[Pivot] | None = None
Reorder tables by grouping rows into arrays using columns as indices.
Submodules
dgbowl_schemas.dgpost.recipe_2_1.extract module
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.extract.At
Bases:
BaseModel
Show JSON schema
{ "title": "At", "type": "object", "properties": { "steps": { "default": null, "items": { "type": "string" }, "title": "Steps", "type": "array" }, "indices": { "default": null, "items": { "type": "integer" }, "title": "Indices", "type": "array" }, "timestamps": { "default": null, "items": { "type": "number" }, "title": "Timestamps", "type": "array" } }, "additionalProperties": false }
- Config:
extra: str = forbid
- Validators:
check_one_input
»all fields
- field steps: Sequence[str] = None
- Validated by:
- field indices: Sequence[int] = None
- Validated by:
- field timestamps: Sequence[float] = None
- Validated by:
- validator check_one_input » all fields
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.extract.Constant
Bases:
BaseModel
Show JSON schema
{ "title": "Constant", "type": "object", "properties": { "value": { "title": "Value" }, "as": { "title": "As", "type": "string" }, "units": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Units" } }, "additionalProperties": false, "required": [ "value", "as" ] }
- Config:
extra: str = forbid
- field value: Any [Required]
- field as_: str [Required] (alias 'as')
- field units: str | None = None
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.extract.Column
Bases:
BaseModel
Show JSON schema
{ "title": "Column", "type": "object", "properties": { "key": { "title": "Key", "type": "string" }, "as": { "title": "As", "type": "string" } }, "additionalProperties": false, "required": [ "key", "as" ] }
- Config:
extra: str = forbid
- field key: str [Required]
- field as_: str [Required] (alias 'as')
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.extract.Extract
Bases:
BaseModel
Extract columns from loaded files into tables, interpolate as necessary.
Show JSON schema
{ "title": "Extract", "description": "Extract columns from loaded files into tables, interpolate as necessary.", "type": "object", "properties": { "into": { "title": "Into", "type": "string" }, "from": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "From" }, "at": { "anyOf": [ { "$ref": "#/$defs/At" }, { "type": "null" } ], "default": null }, "columns": { "anyOf": [ { "items": { "$ref": "#/$defs/Column" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Columns" }, "constants": { "anyOf": [ { "items": { "$ref": "#/$defs/Constant" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Constants" } }, "$defs": { "At": { "additionalProperties": false, "properties": { "steps": { "default": null, "items": { "type": "string" }, "title": "Steps", "type": "array" }, "indices": { "default": null, "items": { "type": "integer" }, "title": "Indices", "type": "array" }, "timestamps": { "default": null, "items": { "type": "number" }, "title": "Timestamps", "type": "array" } }, "title": "At", "type": "object" }, "Column": { "additionalProperties": false, "properties": { "key": { "title": "Key", "type": "string" }, "as": { "title": "As", "type": "string" } }, "required": [ "key", "as" ], "title": "Column", "type": "object" }, "Constant": { "additionalProperties": false, "properties": { "value": { "title": "Value" }, "as": { "title": "As", "type": "string" }, "units": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Units" } }, "required": [ "value", "as" ], "title": "Constant", "type": "object" } }, "additionalProperties": false, "required": [ "into" ] }
- Config:
extra: str = forbid
- Validators:
check_one_input
»all fields
- field into: str [Required]
Name of a new, or existing / loaded table into which the extraction happens.
- Validated by:
- field from_: str | None = None (alias 'from')
Name of the source object for the extracted data.
- Validated by:
- field at: At | None = None
Specification of the steps (or data indices) from which data is to be extracted.
- Validated by:
- field columns: Sequence[Column] | None = None
Specifications for the columns to be extracted, including new headers.
- Validated by:
- field constants: Sequence[Constant] | None = None
Specifications for additional columns containing data constants, including units.
- Validated by:
- validator check_one_input » all fields
dgbowl_schemas.dgpost.recipe_2_1.load module
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.load.Load
Bases:
BaseModel
Select external files (
NetCDF
orjson
datagrams,pkl
tables) to load.Show JSON schema
{ "title": "Load", "description": "Select external files (``NetCDF`` or ``json`` datagrams, ``pkl`` tables) to load.", "type": "object", "properties": { "as": { "title": "As", "type": "string" }, "path": { "title": "Path", "type": "string" }, "type": { "default": "datagram", "enum": [ "netcdf", "datagram", "table" ], "title": "Type", "type": "string" }, "check": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": null, "title": "Check" } }, "additionalProperties": false, "required": [ "as", "path" ] }
- Config:
extra: str = forbid
populate_by_name: bool = True
- Validators:
- field as_: str [Required] (alias 'as')
Name under which the loaded object will be stored in memory.
- field path: str [Required]
Path to the file containing the object to be loaded.
- field type: Literal['netcdf', 'datagram', 'table'] = 'datagram'
Type of the loaded object. Can be either a
NetCDF
file created e.g. usingyadg~5.0
, adatagram
file in JSON format created usingyadg~4.0
, or atable
stored in apkl
file as created by Pandas.- Validated by:
dgbowl_schemas.dgpost.recipe_2_1.pivot module
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.pivot.Pivot
Bases:
BaseModel
Reorder tables by grouping rows into arrays using columns as indices.
Show JSON schema
{ "title": "Pivot", "description": "Reorder tables by grouping rows into arrays using columns as indices.", "type": "object", "properties": { "table": { "title": "Table", "type": "string" }, "as": { "title": "As", "type": "string" }, "using": { "anyOf": [ { "type": "string" }, { "items": { "type": "string" }, "type": "array" } ], "title": "Using" }, "columns": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Columns" }, "timestamp": { "default": "first", "enum": [ "first", "last", "mean" ], "title": "Timestamp", "type": "string" }, "timedelta": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Timedelta" } }, "additionalProperties": false, "required": [ "table", "as", "using" ] }
- Config:
extra: str = forbid
populate_by_name: bool = True
- field table: str [Required]
The name of the table loaded in memory to be pivoted.
- field as_: str [Required] (alias 'as')
The name for the resulting table for in memory storage.
- field using: str | Sequence[str] [Required]
A column name (or their sequence) by which the pivoting is performed.
- field columns: Sequence[str] | None = None
A sequence of column names which are to be pivoted.
- field timestamp: Literal['first', 'last', 'mean'] = 'first'
Specification of the resulting timestamp for the pivoted data. For each pivoted row, the
first
orlast
timestamp can be used as index. Alternatively, themean
can be calculated and used as index.
- field timedelta: str | None = None
If provided, the corresponding time deltas for the pivoted data is computed and stored under the provided column name. By default, this data is not computed.
dgbowl_schemas.dgpost.recipe_2_1.plot module
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.plot.SeriesIndex
Bases:
BaseModel
Show JSON schema
{ "title": "SeriesIndex", "type": "object", "properties": { "from_zero": { "default": true, "title": "From Zero", "type": "boolean" }, "to_units": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "To Units" } }, "additionalProperties": false }
- Config:
extra: str = forbid
- field from_zero: bool = True
- field to_units: str | None = None
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.plot.Series
Bases:
BaseModel
Show JSON schema
{ "title": "Series", "type": "object", "properties": { "y": { "title": "Y", "type": "string" }, "x": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "X" }, "kind": { "default": "scatter", "enum": [ "scatter", "line", "errorbar" ], "title": "Kind", "type": "string" }, "index": { "anyOf": [ { "$ref": "#/$defs/SeriesIndex" }, { "type": "null" } ], "default": { "from_zero": true, "to_units": null } } }, "$defs": { "SeriesIndex": { "additionalProperties": false, "properties": { "from_zero": { "default": true, "title": "From Zero", "type": "boolean" }, "to_units": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "To Units" } }, "title": "SeriesIndex", "type": "object" } }, "additionalProperties": true, "required": [ "y" ] }
- Config:
extra: str = allow
- field y: str [Required]
- field x: str | None = None
- field kind: Literal['scatter', 'line', 'errorbar'] = 'scatter'
- field index: SeriesIndex | None = SeriesIndex(from_zero=True, to_units=None)
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.plot.AxArgs
Bases:
BaseModel
Show JSON schema
{ "title": "AxArgs", "type": "object", "properties": { "cols": { "anyOf": [ { "maxItems": 2, "minItems": 2, "prefixItems": [ { "type": "integer" }, { "type": "integer" } ], "type": "array" }, { "type": "null" } ], "default": null, "title": "Cols" }, "rows": { "anyOf": [ { "maxItems": 2, "minItems": 2, "prefixItems": [ { "type": "integer" }, { "type": "integer" } ], "type": "array" }, { "type": "null" } ], "default": null, "title": "Rows" }, "series": { "items": { "$ref": "#/$defs/Series" }, "title": "Series", "type": "array" }, "methods": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Methods" }, "legend": { "default": false, "title": "Legend", "type": "boolean" } }, "$defs": { "Series": { "additionalProperties": true, "properties": { "y": { "title": "Y", "type": "string" }, "x": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "X" }, "kind": { "default": "scatter", "enum": [ "scatter", "line", "errorbar" ], "title": "Kind", "type": "string" }, "index": { "anyOf": [ { "$ref": "#/$defs/SeriesIndex" }, { "type": "null" } ], "default": { "from_zero": true, "to_units": null } } }, "required": [ "y" ], "title": "Series", "type": "object" }, "SeriesIndex": { "additionalProperties": false, "properties": { "from_zero": { "default": true, "title": "From Zero", "type": "boolean" }, "to_units": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "To Units" } }, "title": "SeriesIndex", "type": "object" } }, "additionalProperties": true, "required": [ "series" ] }
- Config:
extra: str = allow
- field cols: Tuple[int, int] | None = None
- field rows: Tuple[int, int] | None = None
- field methods: Dict[str, Any] | None = None
- field legend: bool = False
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.plot.PlotSave
Bases:
BaseModel
Show JSON schema
{ "title": "PlotSave", "type": "object", "properties": { "as": { "title": "As", "type": "string" }, "tight_layout": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Tight Layout" } }, "additionalProperties": true, "required": [ "as" ] }
- Config:
extra: str = allow
populate_by_name: bool = True
- field as_: str [Required] (alias 'as')
- field tight_layout: Dict[str, Any] | None = None
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.plot.Plot
Bases:
BaseModel
Plot data from a single table.
Show JSON schema
{ "title": "Plot", "description": "Plot data from a single table.", "type": "object", "properties": { "table": { "title": "Table", "type": "string" }, "nrows": { "default": 1, "title": "Nrows", "type": "integer" }, "ncols": { "default": 1, "title": "Ncols", "type": "integer" }, "fig_args": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Fig Args" }, "ax_args": { "items": { "$ref": "#/$defs/AxArgs" }, "title": "Ax Args", "type": "array" }, "style": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Style" }, "save": { "anyOf": [ { "$ref": "#/$defs/PlotSave" }, { "type": "null" } ], "default": null } }, "$defs": { "AxArgs": { "additionalProperties": true, "properties": { "cols": { "anyOf": [ { "maxItems": 2, "minItems": 2, "prefixItems": [ { "type": "integer" }, { "type": "integer" } ], "type": "array" }, { "type": "null" } ], "default": null, "title": "Cols" }, "rows": { "anyOf": [ { "maxItems": 2, "minItems": 2, "prefixItems": [ { "type": "integer" }, { "type": "integer" } ], "type": "array" }, { "type": "null" } ], "default": null, "title": "Rows" }, "series": { "items": { "$ref": "#/$defs/Series" }, "title": "Series", "type": "array" }, "methods": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Methods" }, "legend": { "default": false, "title": "Legend", "type": "boolean" } }, "required": [ "series" ], "title": "AxArgs", "type": "object" }, "PlotSave": { "additionalProperties": true, "properties": { "as": { "title": "As", "type": "string" }, "tight_layout": { "anyOf": [ { "type": "object" }, { "type": "null" } ], "default": null, "title": "Tight Layout" } }, "required": [ "as" ], "title": "PlotSave", "type": "object" }, "Series": { "additionalProperties": true, "properties": { "y": { "title": "Y", "type": "string" }, "x": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "X" }, "kind": { "default": "scatter", "enum": [ "scatter", "line", "errorbar" ], "title": "Kind", "type": "string" }, "index": { "anyOf": [ { "$ref": "#/$defs/SeriesIndex" }, { "type": "null" } ], "default": { "from_zero": true, "to_units": null } } }, "required": [ "y" ], "title": "Series", "type": "object" }, "SeriesIndex": { "additionalProperties": false, "properties": { "from_zero": { "default": true, "title": "From Zero", "type": "boolean" }, "to_units": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "To Units" } }, "title": "SeriesIndex", "type": "object" } }, "additionalProperties": false, "required": [ "table", "ax_args" ] }
- Config:
extra: str = forbid
- field table: str [Required]
The name of the table loaded in memory to be plotted.
- field nrows: int = 1
Number of rows in the figure grid.
- field ncols: int = 1
Number of columns in the figure grid.
- field fig_args: Dict[str, Any] | None = None
Any optional method calls for the figure; passed to
matplotlib
.
- field ax_args: Sequence[AxArgs] [Required]
Specifications of the figure axes, including selection of data for the plots.
- field style: Dict[str, Any] | None = None
Specification of overall
matplotlib
style.
dgbowl_schemas.dgpost.recipe_2_1.save module
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.save.Save
Bases:
BaseModel
Save a table into an external (
pkl
,xlsx
) file.Show JSON schema
{ "title": "Save", "description": "Save a table into an external (``pkl``, ``xlsx``) file.", "type": "object", "properties": { "table": { "title": "Table", "type": "string" }, "as": { "title": "As", "type": "string" }, "type": { "anyOf": [ { "enum": [ "pkl", "json", "xlsx", "csv", "nc" ], "type": "string" }, { "type": "null" } ], "default": null, "title": "Type" }, "columns": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Columns" }, "sigma": { "default": true, "title": "Sigma", "type": "boolean" } }, "additionalProperties": false, "required": [ "table", "as" ] }
- Config:
extra: str = forbid
populate_by_name: bool = True
- field table: str [Required]
The name of the table loaded in memory to be stored.
- field as_: str [Required] (alias 'as')
Path to which the table is stored.
- field type: Literal['pkl', 'json', 'xlsx', 'csv', 'nc'] | None = None
Type of the output file.
- field columns: Sequence[str] | None = None
Columns to be exported. By default (
None
), all columns from the specifiedtable
will be exported.Note
If any of the columns supplied is not present in the table, a warning will be printed by
dgpost
.
- field sigma: bool = True
Whether uncertainties/error estimates in the data should be stripped. Particularly useful when exporting into
xlsx
orcsv
.
dgbowl_schemas.dgpost.recipe_2_1.transform module
- pydantic model dgbowl_schemas.dgpost.recipe_2_1.transform.Transform
Bases:
BaseModel
Calculate and otherwise transform the data in the tables.
Show JSON schema
{ "title": "Transform", "description": "Calculate and otherwise transform the data in the tables.", "type": "object", "properties": { "table": { "title": "Table", "type": "string" }, "with": { "title": "With", "type": "string" }, "using": { "items": { "type": "object" }, "title": "Using", "type": "array" } }, "additionalProperties": false, "required": [ "table", "with", "using" ] }
- Config:
extra: str = forbid
populate_by_name: bool = True
- field table: str [Required]
The name of the table loaded in memory to be transformed.
- field with_: str [Required] (alias 'with')
The name of the transform function from dgpost’s transform library.
- field using: Sequence[Dict[str, Any]] [Required]
Specification of any parameters required by the transform function.