SeaweedModel

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Wrapper class that encapsulates the model and is meant to provide a simple interface.

Methods:

.add_data_by_lme

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.add_data_by_lme(
   lme_names, file
)

Adds data from the database to the model. Based on a LME.

Arguments

  • lme_names : a list of LME names

Returns

None

.add_data_by_grid

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.add_data_by_grid(
   file
)

Adds data from the database to the model. Based on a grid.

Arguments

  • lat_lons : a list of lat_lon tuples
  • file : the file to read the data from

Returns

None

.calculate_factors

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.calculate_factors()

Calculates the growth factors for the model for all ocean sections (either grid or LME).

Arguments

None

Returns

None

.calculate_growth_rate

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.calculate_growth_rate()

Calculates the growth rate for the model for all ocean sections (either grid or LME).

Arguments

None

Returns

None

.create_section_dfs

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.create_section_dfs()

Creates a dataframe for each section in the model.

Arguments

None

Returns

None

.construct_df_from_sections_for_date

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.construct_df_from_sections_for_date(
   months
)

Constructs a dataframe from the data in the model for a given date. This uses the months since the beginning of the nuclear war. Mininum is -3, as the data starts before the war. Maximum is 357, as the data ends after the war.

Arguments

  • months : the months since the beginning of the nuclear war

Returns

a dataframe for the values at the given month

.construct_df_for_parameter

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.construct_df_for_parameter(
   parameter
)

Constructs a dataframe that contains complete time series of a given parameter for all sections in the model.

Arguments

  • parameter : the parameter to construct the dataframe for

Returns

a dataframe with the date as index and the sections as columns