Object Creation API🍋
create_drillholes(name, collar, assays, survey=None, method=DesurveyingMethod.TANGENTIAL, dip_convention=DipDownward.NEGATIVE, name_dictionary={})
🍋
Create GeoLime drillholes from Collar, Survey and Assay files.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str
|
name of Drillholes object to create. |
required |
collar |
DataFrame
|
DataFrame of collar file. |
required |
assays |
Union[List[DataFrame], DataFrame]
|
DataFrame(s) of intervals file (assay, geology, lithology, etc...). |
required |
survey |
Optional[DataFrame]
|
DataFrame of survey file. |
None
|
method |
DesurveyingMethod
|
Desurveying method. |
TANGENTIAL
|
dip_convention |
DipDownward
|
Convention of dip downward angle sign. |
NEGATIVE
|
name_dictionary |
Dict[str, str]
|
mapping between column names and attributes. See Project().attributes_mapping for default attributes mapping. |
{}
|
Returns:
| Type | Description |
|---|---|
Drillholes
|
GeoLime Drillholes. |
Raises:
| Type | Description |
|---|---|
NotImplementedError
|
Desurveying method not in the available methods. |
drillholes_from_dataframe(name, df, name_dictionary={})
🍋
Create Drillholes from a Pandas DataFrame.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str
|
Name of created Drillholes. |
required |
df |
DataFrame
|
Ready to conversion DataFrame. |
required |
name_dictionary |
Dict[str, str]
|
Correspondence table mapping names to attributes. |
{}
|
Returns:
| Type | Description |
|---|---|
Drillholes
|
Drillholes |
point_cloud_from_file(name, file_path, required_columns=[Coord.X, Coord.Y, Coord.Z])
🍋
Load data from a CSV file and create a PointCloud object.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str
|
Name of the PointCloud object. |
required |
file_path |
str
|
Path to the input CSV file. |
required |
required_columns |
List[Union[Coord, str]]
|
List of required column names being the X, Y, and Z coordinate columns. |
[X, Y, Z]
|
Returns:
| Type | Description |
|---|---|
PointCloud
|
A PointCloud object containing the input data and any additional properties. |
Raises:
| Type | Description |
|---|---|
ValueError
|
|
Note
Non alpha-numeric characters found in property names will be replaced with "_" and a warning will be printed out.
solid_from_dxf(name, file_path, automatic_hole_fix=False)
🍋
Load data from a CSV file and create a PointCloud object.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str
|
Name of the PointCloud object. |
required |
file_path |
str
|
Path to the input CSV file. |
required |
automatic_hole_fix |
bool
|
boolean indicator to whether perform a fix if needed or raise an error. |
False
|
Returns:
| Type | Description |
|---|---|
Solid
|
A PointCloud object containing the input data and any additional properties. |
Tip
Installing PyOgrio may lead to faster loading time.
surface_from_dxf(name, file_path)
🍋
Load data from a CSV file and create a PointCloud object.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str
|
Name of the PointCloud object. |
required |
file_path |
str
|
Path to the input CSV file. |
required |
Returns:
| Type | Description |
|---|---|
Surface
|
A PointCloud object containing the input data and any additional properties. |
Tip
Installing PyOgrio may lead to faster loading time.
gis_object_from_file(name, file_path)
🍋
Create GeoLime GIS object from a shp, geojson or gpkg file. The file loading is delegated to GeoPandas: see GeoPandas - Read for more information.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str
|
name of the GISObject to create. |
required |
file_path |
str
|
path to the shp, geojson or gpkg file. |
required |
Returns:
| Type | Description |
|---|---|
GISObject
|
GeoLime GISObject. |
Note
Non alpha-numeric characters found in property names will be replaced with "_" and a warning will be printed out.
block_model_from_file(name, file_path, required_columns=[Coord.X, Coord.Y, Coord.Z])
🍋
Load data from a CSV file and create a BlockModel object.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
name |
str
|
Name of the BlockModel object. |
required |
file_path |
str
|
Path to the input CSV file. |
required |
required_columns |
List[Union[Coord, str]]
|
List of required column names being the X, Y, and Z coordinate columns. |
[X, Y, Z]
|
Returns:
| Type | Description |
|---|---|
BlockModel
|
A BlockModel object containing the input data and any additional properties. |
Raises:
| Type | Description |
|---|---|
ValueError
|
|
Note
Non alpha-numeric characters found in property names will be replaced with "_" and a warning will be printed out.