pandas module

This module provide basic integration with pandas.

Classes:

`VectorSetBaseAccessor`(pandas_obj)	Base class of DataFrame accessors provides methods for FeatureSet
`APSGAccessor`(pandas_obj)	apsg DataFrame accessor to create aspg columns from data
`Vec3Accessor`(pandas_obj)	vec DataFrame accessor provides methods for Vector3Set
`FolAccessor`(pandas_obj)	fol DataFrame accessor provides methods for FoliationSet
`LinAccessor`(pandas_obj)	lin DataFrame accessor provides methods for LineationSet
`FaultAccessor`(pandas_obj)	fault DataFrame accessor provides methods for FaultSet
`Vector3Array`(vecs)	Custom Extension Array type for an array of Vector3
`FolArray`(fols)	Custom Extension Array type for an array of fols
`LinArray`(lins)	Custom Extension Array type for an array of lins
`FaultArray`(faults)	Custom Extension Array type for an array of faults

class apsg.pandas.VectorSetBaseAccessor(pandas_obj)

Bases: object

Base class of DataFrame accessors provides methods for FeatureSet

property getset: Get FeatureSet

R(): Return resultant of data in FeatureSet.

fisher_k(): Precision parameter based on Fisher’s statistics

fisher_csd(): Angular standard deviation based on Fisher’s statistics

fisher_a95(): 95% confidence limit based on Fisher’s statistics

var()

Spherical variance based on resultant length (Mardia 1972).

var = 1 - abs(R) / n

delta()

Cone angle containing ~63% of the data in degrees.

For enough large sample it approach angular standard deviation (csd) of Fisher statistics

rdegree()

Degree of preffered orientation of vectors in FeatureSet.

D = 100 * (2 * abs(R) - n) / n

ortensor(): Return orientation tensor Ortensor of vectors in FeatureSet.

contour(snet=None, **kwargs): Plot data contours on StereoNet

class apsg.pandas.APSGAccessor(pandas_obj)

Bases: object

apsg DataFrame accessor to create aspg columns from data

create_vecs(columns=['x', 'y', 'z'], name='vecs')

Create column with Vector3 features

Keyword Arguments

columns (list) – Columns containing either x, y and z components or azi and inc. Default [“x”, “y”, “z”]
name (str) – Name of created column. Default ‘vecs’

create_fols(columns=['azi', 'inc'], name='fols')

Create column with Foliation features

Keyword Arguments

columns (list) – Columns containing azi and inc. Default [“azi”, “inc”]
name (str) – Name of created column. Default ‘fols’

create_lins(columns=['azi', 'inc'], name='lins')

Create column with Lineation features

Keyword Arguments

columns (list) – Columns containing azi and inc. Default [“azi”, “inc”]
name (str) – Name of created column. Default ‘lins’

create_faults(columns=['fazi', 'finc', 'lazi', 'linc', 'sense'], name='faults')

Create column with Fault features

Keyword Arguments

columns (list) – Columns containing azi and inc. Default [‘fazi’, ‘finc’, ‘lazi’, ‘linc’, ‘sense’]
name (str) – Name of created column. Default ‘lins’

class apsg.pandas.Vec3Accessor(pandas_obj)

Bases: VectorSetBaseAccessor

vec DataFrame accessor provides methods for Vector3Set

plot(snet=None, **kwargs): Plot vecs as vectors on StereoNet

class apsg.pandas.FolAccessor(pandas_obj)

Bases: VectorSetBaseAccessor

fol DataFrame accessor provides methods for FoliationSet

plot(snet=None, aspole=False, **kwargs): Plot fols as great circles on StereoNet

class apsg.pandas.LinAccessor(pandas_obj)

Bases: VectorSetBaseAccessor

lin DataFrame accessor provides methods for LineationSet

plot(snet=None, **kwargs): Plot lins as line on StereoNet

class apsg.pandas.FaultAccessor(pandas_obj)

Bases: object

fault DataFrame accessor provides methods for FaultSet

property getset: Get FeatureSet

plot(snet=None, **kwargs): Plot vecs as vectors on StereoNet

class apsg.pandas.Vector3Array(vecs)

Bases: ExtensionArray

Custom Extension Array type for an array of Vector3

property dtype: Return Dtype instance (not class) associated with this Array

property nbytes: The number of bytes needed to store this object in memory.

isna(): Returns a 1-D array indicating if each value is missing

take(indices, *, allow_fill=False, fill_value=None): Take element from array using positional indexing

copy(): Return copy of array

class apsg.pandas.FolArray(fols)

Bases: Vector3Array

Custom Extension Array type for an array of fols

property dtype: Return Dtype instance (not class) associated with this Array

class apsg.pandas.LinArray(lins)

Bases: Vector3Array

Custom Extension Array type for an array of lins

property dtype: Return Dtype instance (not class) associated with this Array

class apsg.pandas.FaultArray(faults)

Bases: Vector3Array

Custom Extension Array type for an array of faults

property dtype: Return Dtype instance (not class) associated with this Array