hotfix/fa-yfinance-plot - makes stocks/fa/income --plot output matc…

…h everything else. (#5101)

* makes fa/plot output match everything else

* fix y-axis to be billions

* fix denominations

* black

* ruff

openbb_terminal/stocks/fundamental_analysis/yahoo_finance_model.py

@@ -2,7 +2,6 @@
 __docformat__ = "numpy"
 
 import logging
-import re
 import ssl
 from datetime import datetime
 from typing import Optional, Tuple
@@ -15,7 +14,6 @@
 
 from openbb_terminal.decorators import log_start_end
 from openbb_terminal.helper_funcs import lambda_long_number_format
-from openbb_terminal.helpers_denomination import transform as transform_by_denomination
 from openbb_terminal.rich_config import console
 from openbb_terminal.stocks.fundamental_analysis.fa_helper import clean_df_index
 
@@ -358,14 +356,11 @@ def get_financials(symbol: str, statement: str, ratios: bool = False) -> pd.Data
     df = df.replace("k", "", regex=True)
     df = df.astype("float")
 
-    # Data except EPS is returned in thousands, convert it
-    (df, _) = transform_by_denomination(
-        df,
-        "Thousands",
-        "Units",
-        axis=1,
-        skipPredicate=lambda row: re.search("eps", row.name, re.IGNORECASE) is not None,
-    )
+    not_skipped = ~df.reset_index()["Breakdown"].str.contains("EPS", case=False)
+    skipped = df.reset_index()["Breakdown"].str.contains("EPS", case=False)
+    skipped_df = df.reset_index()[skipped].set_index("Breakdown")
+    transformed = df.reset_index()[not_skipped].set_index("Breakdown") * 1000
+    df = pd.concat([transformed, skipped_df])
 
     if ratios:
         types = df.copy().applymap(lambda x: isinstance(x, (float, int)))

openbb_terminal/stocks/fundamental_analysis/yahoo_finance_view.py

@@ -16,7 +16,6 @@
     lambda_long_number_format,
     print_rich_table,
 )
-from openbb_terminal.helpers_denomination import transform as transform_by_denomination
 from openbb_terminal.rich_config import console
 from openbb_terminal.stocks import stocks_helper
 from openbb_terminal.stocks.fundamental_analysis import yahoo_finance_model
@@ -392,8 +391,6 @@ def display_fundamentals(
             for i in [i.replace(" ", "_") for i in fundamentals.index.str.lower()]
         ]
 
-    symbol_currency = yahoo_finance_model.get_currency(symbol)
-
     if plot:
         plot = [x.lower() for x in plot]
         rows_plot = len(plot)
@@ -403,40 +400,29 @@ def display_fundamentals(
             fundamentals_plot_data = fundamentals_plot_data.drop(["ttm"])
         fundamentals_plot_data = fundamentals_plot_data.sort_index()
 
-        if not ratios:
-            maximum_value = fundamentals_plot_data[plot[0]].max()
-            (df_rounded, denomination) = transform_by_denomination(
-                fundamentals_plot_data, maxValue=maximum_value
-            )
-            if denomination == "Units":
-                denomination = ""
-        else:
-            df_rounded = fundamentals_plot_data
-            denomination = ""
-
         if rows_plot == 1:
-            fig.add_bar(
-                x=df_rounded.index,
-                y=df_rounded[plot[0]],
+            fig.add_scatter(
+                x=fundamentals_plot_data.index,
+                y=fundamentals_plot_data[plot[0]],
                 name=plot[0].replace("_", " "),
             )
             title = (
                 f"{plot[0].replace('_', ' ').capitalize()} QoQ Growth of {symbol.upper()}"
                 if ratios
-                else f"{plot[0].replace('_', ' ').capitalize()} of {symbol.upper()} {denomination}"
+                else f"{plot[0].replace('_', ' ').capitalize()} of {symbol.upper()}"
             )
             fig.set_title(title)
         else:
             fig = OpenBBFigure.create_subplots(rows=rows_plot, cols=1)
             for i in range(rows_plot):
-                fig.add_bar(
-                    x=df_rounded.index,
-                    y=df_rounded[plot[i]],
+                fig.add_scatter(
+                    x=fundamentals_plot_data.index,
+                    y=fundamentals_plot_data[plot[i]],
                     name=plot[i].replace("_", " "),
                     row=i + 1,
                     col=1,
                 )
-                title = f"{plot[i].replace('_', ' ')} {denomination}"
+                title = f"{plot[i].replace('_', ' ')}"
                 fig.add_annotation(x=0.5, y=1, row=i + 1, col=1, text=title)
 
         fig.show(external=fig.is_image_export(export))
@@ -451,7 +437,8 @@ def display_fundamentals(
         print_rich_table(
             formatted_df.applymap(lambda x: "-" if x == "nan" else x),
             show_index=True,
-            title=f"{symbol} {title_str} Currency: {symbol_currency}",
+            index_name="Item",
+            title=f"{symbol} {title_str}",
             export=bool(export),
             limit=limit,
         )