FEAT: Move example values to demo.

casact · Sep 15, 2023 · 0dd8c3a · 0dd8c3a
1 parent b8ffd07
commit 0dd8c3a
Showing 1 changed file with 0 additions and 94 deletions.
diff --git a/faslr/index/index_matrix.py b/faslr/index/index_matrix.py
@@ -8,52 +8,6 @@
 if TYPE_CHECKING:
     from pandas import DataFrame
 
-trend = 0.03425
-
-sample_years = [
-    2002,
-    2003,
-    2004,
-    2005,
-    2006,
-    2007,
-    2008
-]
-
-rate_changes = [
-    0,
-    .05,
-    .075,
-    .15,
-    .10,
-    -.2,
-    -.2
-]
-
-tort_changes = [
-    0,
-    0,
-    0,
-    0,
-    - (1 - .67 / .75),
-    -.25,
-    0
-]
-
-trend_factors = [
-    1 + trend for x in range(len(sample_years))
-]
-
-rate_factors = [
-    x + 1 for x in rate_changes
-]
-
-tort_factors = [
-    x + 1.0 for x in tort_changes
-]
-
-d = {}
-
 
 def relative_index(
         base_yr: int,
@@ -91,51 +45,3 @@ def index_matrix(
 
     return df_res
 
-
-df_trend: DataFrame = index_matrix(
-    years=sample_years,
-    index=trend_factors
-)
-
-df_rl: DataFrame = index_matrix(
-    years=sample_years,
-    index=rate_factors
-)
-
-df_tort: DataFrame = index_matrix(
-    years=sample_years,
-    index=tort_factors
-)
-
-df_loss = df_trend * df_tort
-df_prem = df_rl
-
-df_loss['claims'] = [
-    48953,
-    47404,
-    77662,
-    78497,
-    65239,
-    62960,
-    61262
-]
-
-df_prem['premium'] = [
-    61183,
-    69175,
-    99322,
-    138151,
-    107578,
-    62438,
-    47797
-]
-
-lr_dict = {}
-for year in sample_years:
-    lr_dict[str(year)] = (df_loss[str(year)] * df_loss['claims']) / \
-                   (df_prem[str(year)] * df_prem['premium'])
-
-df_loss_ratio = pd.DataFrame(
-    data=lr_dict,
-    index=sample_years
-)