update rdd qmd files

Author: SvenKlaassen

doc/rdd/rdd.qmd

@@ -10,55 +10,17 @@ jupyter: python3
 
 import numpy as np
 import pandas as pd
-from itables import init_notebook_mode, show, options
+from itables import init_notebook_mode
+import os
+import sys
 
-init_notebook_mode(all_interactive=True)
+doc_dir = os.path.abspath(os.path.join(os.getcwd(), ".."))
+if doc_dir not in sys.path:
+    sys.path.append(doc_dir)
+
+from utils.style_tables import generate_and_show_styled_table
 
-def highlight_range(s, level=0.95, dist=0.05, props=''):
-    color_grid = np.where((s >= level-dist) &
-                          (s <= level+dist), props, '')
-    return color_grid
-
-
-def color_coverage(df, level):
-    # color coverage column order is important
-    styled_df = df.apply(
-        highlight_range,
-        level=level,
-        dist=1.0,
-        props='color:black;background-color:red',
-        subset=["Coverage"])
-    styled_df = styled_df.apply(
-        highlight_range,
-        level=level,
-        dist=0.1,
-        props='color:black;background-color:yellow',
-        subset=["Coverage"])
-    styled_df = styled_df.apply(
-        highlight_range,
-        level=level,
-        dist=0.05,
-        props='color:white;background-color:darkgreen',
-        subset=["Coverage"])
-
-    # set all coverage values to bold
-    styled_df = styled_df.set_properties(
-        **{'font-weight': 'bold'},
-        subset=["Coverage"])
-    return styled_df
-
-
-def make_pretty(df, level, n_rep):
-    styled_df = df.style.hide(axis="index")
-    # Format only float columns
-    float_cols = df.select_dtypes(include=['float']).columns
-    styled_df = styled_df.format({col: "{:.3f}" for col in float_cols})
-
-    # color coverage column order is important
-    styled_df = color_coverage(styled_df, level)
-    caption = f"Coverage for {level*100}%-Confidence Interval over {n_rep} Repetitions"
-
-    return show(styled_df, caption=caption, allow_html=True)
+init_notebook_mode(all_interactive=True)
 ```
 
 ## Sharp Design
@@ -80,28 +42,36 @@ print(metadata_df.T.to_string(header=False))
 # | echo: false
 
 # set up data and rename columns
-df = pd.read_csv("../../results/rdd/rdd_sharp_coverage.csv", index_col=None)
+df_sharp = pd.read_csv("../../results/rdd/rdd_sharp_coverage.csv", index_col=None)
 
-assert df["repetition"].nunique() == 1
-n_rep = df["repetition"].unique()[0]
+assert df_sharp["repetition"].nunique() == 1
+n_rep_sharp = df_sharp["repetition"].unique()[0]
 
-display_columns = ["Method", "Learner g", "fs specification", "Bias", "CI Length", "Coverage"]
+display_columns_sharp = ["Method", "Learner g", "fs specification", "Bias", "CI Length", "Coverage"]
 ```
 
 ```{python}
 #| echo: false
-level = 0.95
-
-df_ate_95 = df[(df['level'] == level)][display_columns]
-make_pretty(df_ate_95, level, n_rep)
+generate_and_show_styled_table(
+    main_df=df_sharp,
+    filters={"level": 0.95},
+    display_cols=display_columns_sharp,
+    n_rep=n_rep_sharp,
+    level_col="level",
+    coverage_highlight_cols=["Coverage"]
+)
 ```
 
 ```{python}
 #| echo: false
-level = 0.9
-
-df_ate_9 = df[(df['level'] == level)][display_columns]
-make_pretty(df_ate_9, level, n_rep)
+generate_and_show_styled_table(
+    main_df=df_sharp,
+    filters={"level": 0.9},
+    display_cols=display_columns_sharp,
+    n_rep=n_rep_sharp,
+    level_col="level",
+    coverage_highlight_cols=["Coverage"]
+)
 ```
 
 
@@ -124,26 +94,34 @@ print(metadata_df.T.to_string(header=False))
 # | echo: false
 
 # set up data and rename columns
-df = pd.read_csv("../../results/rdd/rdd_fuzzy_coverage.csv", index_col=None)
+df_fuzzy = pd.read_csv("../../results/rdd/rdd_fuzzy_coverage.csv", index_col=None)
 
-assert df["repetition"].nunique() == 1
-n_rep = df["repetition"].unique()[0]
+assert df_fuzzy["repetition"].nunique() == 1
+n_rep_fuzzy = df_fuzzy["repetition"].unique()[0]
 
-display_columns = ["Method", "Learner g", "Learner m", "fs specification", "Bias", "CI Length", "Coverage"]
+display_columns_fuzzy = ["Method", "Learner g", "Learner m", "fs specification", "Bias", "CI Length", "Coverage"]
 ```
 
 ```{python}
 #| echo: false
-level = 0.95
-
-df_ate_95 = df[(df['level'] == level)][display_columns]
-make_pretty(df_ate_95, level, n_rep)
+generate_and_show_styled_table(
+    main_df=df_fuzzy,
+    filters={"level": 0.95},
+    display_cols=display_columns_fuzzy,
+    n_rep=n_rep_fuzzy,
+    level_col="level",
+    coverage_highlight_cols=["Coverage"]
+)
 ```
 
 ```{python}
 #| echo: false
-level = 0.9
-
-df_ate_9 = df[(df['level'] == level)][display_columns]
-make_pretty(df_ate_9, level, n_rep)
+generate_and_show_styled_table(
+    main_df=df_fuzzy,
+    filters={"level": 0.9},
+    display_cols=display_columns_fuzzy,
+    n_rep=n_rep_fuzzy,
+    level_col="level",
+    coverage_highlight_cols=["Coverage"]
+)
 ```