update ssm qmd files

Author: SvenKlaassen

doc/ssm/ssm_mar.qmd

@@ -9,55 +9,17 @@ 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)
 ```
 
 ## ATE Coverage
@@ -90,17 +52,24 @@ display_columns = ["Learner g", "Learner m", "Learner pi", "Bias", "CI Length",
 
 ```{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,
+    filters={"level": 0.95},
+    display_cols=display_columns,
+    n_rep=n_rep,
+    level_col="level",
+    coverage_highlight_cols=["Coverage"]
+)
 ```
 
 ```{python}
 #| echo: false
-score = "partialling out"
-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,
+    filters={"level": 0.9},
+    display_cols=display_columns,
+    n_rep=n_rep,
+    level_col="level",
+    coverage_highlight_cols=["Coverage"]
+)
 ```

doc/ssm/ssm_nonignorable.qmd

@@ -9,55 +9,17 @@ 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)
 ```
 
 ## ATE Coverage
@@ -90,16 +52,24 @@ display_columns = ["Learner g", "Learner m", "Learner pi", "Bias", "CI Length",
 
 ```{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,
+    filters={"level": 0.95},
+    display_cols=display_columns,
+    n_rep=n_rep,
+    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,
+    filters={"level": 0.9},
+    display_cols=display_columns,
+    n_rep=n_rep,
+    level_col="level",
+    coverage_highlight_cols=["Coverage"]
+)
 ```