paleos.agemodel module

Module to help resample or interpolate age models to new depths

Age models are assumed to be a pandas Series object with depth as index and age as value.

paleos.agemodel.add_point(age_model: Series, depth: float = 0, age: float = 0, sort_result: bool = True) → Series

Add a point to an age model

Parameters:

• age_model (pd.Series) – The age model

• depth (float) – The depth for the point. Defaults to 0.

• age (float) – The age for the point. Defaults to 0.

• sort_result (bool, optional) – Sort the result. Defaults to True.

Returns:

Age model with point added

Return type:

pd.Series

paleos.agemodel.clip_age_reversals(age_model: Series) → Series

Remove reversals in age models

Parameters:

age_model (pd.Series) – The age model

Returns:

The age model with age reverals removed

Return type:

pd.Series

paleos.agemodel.resample_linear(age_model: Series, depths: ndarray) → Series

Resample age model onto new depths using linear interpolation

Parameters:

• age_model (pd.Series) – Age model

• depths (np.ndarray) – Depths for which to calculate out ages

Returns:

Ages for depths

Return type:

pd.Series

paleos.agemodel.resample_cubic(age_model: Series, depths: ndarray) → Series

Resample age model onto new depths using cubic interpolation

Parameters:

• age_model (pd.Series) – Age model

• depths (np.ndarray) – Depths for which to calculate out ages

Returns:

Ages for depths

Return type:

pd.Series

paleos.agemodel.resample_spline(age_model: Series, depths: ndarray)

Resample age model onto new depths using spline interpolation

Parameters:

• age_model (pd.Series) – Age model

• depths (np.ndarray) – Depths for which to calculate out ages

Returns:

Ages for depths

Return type:

pd.Series

paleos.agemodel.resample_loess(age_model: Series, depths: ndarray, smoothing_factor: float = 0.33) → Series

Resample age model onto new depths using local linear regression

Parameters:

• age_model (pd.Series) – Age model

• depths (np.ndarray) – Depths for which to calculate out ages

• smoothing_factor (float, optional) – Smoothing factor to use. Defaults to 0.33.

Returns:

Ages for depths

Return type:

pd.Series

paleos.agemodel.resample_lowess(age_model: Series, depths: ndarray, smoothing_factor: float = 0.33)

Resample age model onto new depths using local weighted linear regression

Parameters:

• age_model (pd.Series) – Age model

• depths (np.ndarray) – Depths for which to calculate out ages

• smoothing_factor (float, optional) – Smoothing factor to use. Defaults to 0.33.

Returns:

Ages for depths

Return type:

pd.Series