Adjustments on the invalid markets graphs

app.py

@@ -303,12 +303,12 @@ with demo:
             with gr.Row():
                 gr.Markdown("# Daily distribution of invalid trades")
             with gr.Row():
-                plot_daily_dist_invalid_trades(invalid_trades)
+                invalid_trades = plot_daily_dist_invalid_trades(invalid_trades)
 
-            with gr.Row():
-                gr.Markdown("# Ratio of invalid trades per market")
-            with gr.Row():
-                plot_ratio_invalid_trades_per_market(invalid_trades)
+            # with gr.Row():
+            #     gr.Markdown("# Ratio of invalid trades per market")
+            # with gr.Row():
+            #     plot_ratio_invalid_trades_per_market(invalid_trades)
 
             with gr.Row():
                 gr.Markdown("# Top markets with invalid trades")
@@ -318,7 +318,7 @@ with demo:
             with gr.Row():
                 gr.Markdown("# Daily distribution of invalid markets")
             with gr.Row():
-                plot_daily_nr_invalid_markets(invalid_trades)
+                invalid_markets = plot_daily_nr_invalid_markets(invalid_trades)
 
         with gr.TabItem("🏥 Tool Error Dashboard"):
             with gr.Row():

tabs/invalid_markets.py

@@ -7,12 +7,12 @@ from seaborn import FacetGrid
 
 def plot_daily_dist_invalid_trades(invalid_trades: pd.DataFrame):
     """Function to paint the distribution of daily invalid trades, no matter which market"""
-    plot = sns.histplot(data=invalid_trades, x="creation_date", kde=True)
+    plot2 = sns.histplot(data=invalid_trades, x="creation_date", kde=True)
     plt.xticks(rotation=45, ha="right")
     plt.xlabel("Creation date")
     plt.ylabel("Daily number of invalid trades")
     plt.title("Distribution of daily invalid trades over time")
-    return gr.Plot(value=plot.get_figure())
+    return gr.Plot(value=plot2.get_figure())
 
 
 def plot_daily_nr_invalid_markets(invalid_trades: pd.DataFrame):
@@ -49,9 +49,9 @@ def plot_top_invalid_markets(invalid_trades: pd.DataFrame):
     """Function to paint the top markets with the highest number of invalid trades"""
     top_invalid_markets = invalid_trades.title.value_counts().reset_index()
     top_invalid_markets.rename(columns={"count": "nr_invalid_trades"}, inplace=True)
-    plt.figure(figsize=(25, 10))
+    plt.figure(figsize=(40, 15))
     plot = sns.barplot(
-        top_invalid_markets,
+        top_invalid_markets.head(),
         x="nr_invalid_trades",
         y="title",
         hue="title",