fix minor stuff in code snippets

egsim/api/data/client/snippets/get_egsim_predictions.py

@@ -36,18 +36,16 @@ def get_egsim_predictions(
 
     A [pandas DataFrame](https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe)
     
-    Each row contains the input data and the computed predictions for a given 
-    scenario (i.e., a combination of a configured Rupture and Site properties).
+    Each row denotes a scenario (i.e., a combination of a configured Rupture and Site
+    properties), the first column a unique scenario identifier (incremental and
+    starting from 0) and each remaining column denotes:
 
-    The first column (row label) reports a unique identifier (incremental and
-    starting from 0), and the first row (columns label) reports:
-
-    - A computed prediction if the first chunk is an intensity measure type
+    - a computed prediction if the first chunk is an intensity measure type
       (e.g. "PGA median BindiEtAl2014Rjb"): in this case, the second chunk is the metric 
       type (e.g. "median") and the third the predicting model ("BindiEtAl2014Rjb")
     
-    - The scenario configuration relative to the computed prediction if the first chunk
-      is the text "input" (e.g., "input distance_measure rrup"): in this case, the second
+    - the scenario configured properties if the first chunk is the text "input" (e.g.,
+      "input distance_measure rrup"): in this case, the second
       chunk is the configuration data type ("distance_measure", "intensity_measure",
       "rupture_parameter", "site_parameter" or "uncategorized") and the third is the
       configuration data name ("rrup")

egsim/api/data/client/snippets/get_egsim_residuals.py

@@ -51,22 +51,19 @@ def get_egsim_residuals(
 
     A [pandas DataFrame](https://pandas.pydata.org/docs/user_guide/dsintro.html#dataframe)
     
-    If ranking is True, then each row will denote a model (reported in the 1st column)
+    If ranking is True, then each row denotes a model (reported in the 1st column)
     and each column a measure of fit (reported in the 1st row).
     
-    If ranking is False, then each row will denote a flatfile record with the input data
-    and the computed residuals.
-
-    The first column (row label) reports a unique identifier (the record position
-    in the original flatfile, starting from 0), and the first row (columns label)
-    reports:
+    If ranking is False, then each row denotes a flatfile record, the first column
+    the record position starting from 0 (a sort of id) and each remaining
+    column denotes:
     
-    - A computed residual or prediction, if the first chunk is an intensity measure type
+    - a computed residual or prediction, if the first chunk is an intensity measure type
       (e.g. "PGA total_residual BindiEtAl2014Rjb"): in this case, the second chunk is 
       the metric type ("total_residual") and the third the predicting model
       ("BindiEtAl2014Rjb")
     
-    - The flatfile data relative to the computed prediction if the first chunk
+    - the flatfile data relative to the computed prediction if the first chunk
       is the text "input"  (e.g., "input distance_measure rrup"): in this case, the
       second chunk is the flatfile data type ("distance_measure", "intensity_measure",
       "rupture_parameter", "site_parameter" or "uncategorized") and the third the

egsim/app/views.py

@@ -407,7 +407,7 @@ def get_html_tutorial(
         'Select by model (BindiEtAl2014Rjb)':
             'dframe[[c for c in dframe.columns if c.endswith(" BindiEtAl2014Rjb")]]',
         'Select all input data':
-            f'dframe[[c for c in dframe.columns if c.startswith("{Clabel.input }")]]',
+            f'dframe[[c for c in dframe.columns if c.startswith("{Clabel.input } ")]]',
     }
     if key == 'residuals':
         py_select_exprs['Select by metric type (Total residuals)'] = \