Module to create Input
space and its child spaces from input data.
This module contains a function build_input()
,
which creates “Input” space and its subspaces by reading
input data into them from an Excel file.
By default, build_input()
reads data from input.xlsm in the
same folder as this module, and the structure of Input
space is illustrated
by the diagram below.
Below are descriptions of Input spaces and its subspaces.
The parent module of all other input spaces.
Some tables in input.xlsm are imported as cells directly under this space.
The sample policy data read from PolicyData tab in input.xlsm.
Records and fields of PolicyData represents policies and policy
attributes respectively.
Each record of PolicyData is accessible as a dynamic space under
PolicyData
space indexed by Policy column in the input table.
Each field of a record is accessible as a scalar cells in the dynamic
space corresponding to the record.
For example:
>>> model.Input.PolicyData[3].PolicyTerm()
gives the value of the policy term of the policy record 3.
The sample mortality tables read from Mortality tab.
For Each mortality table, a dynamic space is created indexed
by TableID, and MortalityTable cells indexed
by Sex
and Age
is created in that space.
The script below will return the mortality rate of Male, Age 41 from the mortality table 3:
>>> model.Input.MortalityTables[3].MortalityTable('M', 41)
The sample product spec table read from ProductSpec tab.
ProductSpec
dynamic subspaces holds parameters to specify products
as cells. The dynamic subspaces are indexed by Product
,
PolType
and Gen
, and
each of the subspace has scalar cells defined by the columns
of ProductSpec tab other than the index columns.
Empty cells in the index columns are imported as None
.
Cells.match
method treats None
as the wildcard when
finding the closest matching indexes for the given arguments.
The sample assumption table read from Assumptions tab.
The Assumptions
space has dynamic subspaces indexed by Product
,
PolType
and Gen
, each of which has scalar cells defined by the
columns of Assumptions tab other than the index columns.
Empty cells in the index columns are imported as None
.
Cells.match
method treats None
as the wildcard when
finding the closest matching indexes for the given arguments.
The sample assumption table read from AssumptionTables tab. The tab holds assumptions by policy duration, such as mortality factors and lapse assumptions.
Each assumption in the table is imported as a cells in the
AssumptionTables
space.
Functions
build_input (model[, input_file]) |
Create “Input” space and its sub spaces by reading data from an Excel file into it. |
ifrs17sim.build_input.
build_input
(model, input_file='input.xlsm')[source]¶Create “Input” space and its sub spaces by reading data from an Excel file into it.
This function creates a space named “Input” under model
,
reads tables from input_file
into cells and subspaces
under the “Input” space.
By default, this function assumes reading data from input.xlsm located in the same folder as this module.
Parameters: |
|
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