From 6cf09392be900e2d257c2c27769023fe73610002 Mon Sep 17 00:00:00 2001
From: teh_coderer <me@tehcoderer.com>
Date: Wed, 9 Aug 2023 21:28:29 -0700
Subject: [PATCH] hotfix/ `/stocks/fa/pt` show all price targets on hover
 (#5305)

* `/stocks/fa/pt` show all price targets on hover

* Update helper_funcs.py
---
 openbb_terminal/helper_funcs.py                  |  5 +++++
 .../business_insider_view.py                     | 16 +++++++++++++---
 2 files changed, 18 insertions(+), 3 deletions(-)

diff --git a/openbb_terminal/helper_funcs.py b/openbb_terminal/helper_funcs.py
index c29c09130d40..e93d183cfd5c 100644
--- a/openbb_terminal/helper_funcs.py
+++ b/openbb_terminal/helper_funcs.py
@@ -278,6 +278,7 @@ def print_rich_table(
     print_to_console: bool = False,
     limit: Optional[int] = 1000,
     source: Optional[str] = None,
+    columns_keep_types: Optional[List[str]] = None,
 ):
     """Prepare a table from df in rich.
 
@@ -313,6 +314,8 @@ def print_rich_table(
         console.
     source: Optional[str]
         Source of the table. If provided, it will be displayed in the header of the table.
+    columns_keep_types: Optional[List[str]]
+        Columns to keep their types, i.e. not convert to numeric
     """
     if export:
         return
@@ -329,6 +332,8 @@ def print_rich_table(
     #  convert non-str that are not timestamp or int into str
     # eg) praw.models.reddit.subreddit.Subreddit
     for col in df.columns:
+        if columns_keep_types is not None and col in columns_keep_types:
+            continue
         try:
             if not any(
                 isinstance(df[col].iloc[x], pd.Timestamp)
diff --git a/openbb_terminal/stocks/fundamental_analysis/business_insider_view.py b/openbb_terminal/stocks/fundamental_analysis/business_insider_view.py
index fb3b42c19ed1..89d92287f4a8 100644
--- a/openbb_terminal/stocks/fundamental_analysis/business_insider_view.py
+++ b/openbb_terminal/stocks/fundamental_analysis/business_insider_view.py
@@ -172,9 +172,17 @@ def adjust_splits(row, splits: pd.DataFrame):
         name="Price Target",
         mode="markers",
         customdata=df_analyst_plot.apply(
-            lambda row: f"{row['Company']} ({row['Rating']})", axis=1
-        ).values,
-        hovertemplate="%{customdata}<br><br>Price Target: %{y:.2f}",
+            lambda row: "<br>".join(
+                [
+                    f"<b>${x['Price Target']}</b> - <b>{x['Company']} ({x['Rating']})</b>"
+                    for _, x in df_analyst_plot[df_analyst_plot.index == row.name]
+                    .sort_values(by="Price Target", ascending=False)
+                    .iterrows()
+                ]
+            ),
+            axis=1,
+        ),
+        hovertemplate="<br>%{customdata}",
         marker=dict(
             color=colors,
             line=dict(width=1, color="DarkSlateGrey"),
@@ -183,6 +191,8 @@ def adjust_splits(row, splits: pd.DataFrame):
         line=dict(color=theme.get_colors()[1]),
     )
 
+    fig.update_layout(hovermode="x unified")
+
     export_data(
         export,
         os.path.dirname(os.path.abspath(__file__)),