update x and y label

app.py

@@ -71,7 +71,17 @@ app.layout = html.Div(children = [
 )
 def update_graph(userName):
     filtered_df = df[df["Card holder"] == userName]
-    fig = px.scatter(filtered_df,x="Amount", y="Transaction Date",color="Transaction Type",title="Transaction type and amount based on date")
+    fig = px.scatter(filtered_df,
+    x="Amount", 
+    y="Transaction Date",
+    color="Transaction Type",
+    title="Transaction type and amount based on date",
+    labels={
+        "Amount":"Transaction Amount",
+        "Transaction Date":"Transaction Date"
+    }
+    
+    )
     
     return fig
 
@@ -84,7 +94,16 @@ def update_bar_graph(userName):
     filtered_df = df[df["Card holder"] == userName]
     count_data_frame = filtered_df
     count_data_frame = filtered_df.groupby('Category').count().reset_index()
-    fig = px.bar(count_data_frame,x="Category", y="Amount",color='Category',title="Category count")
+    fig = px.bar(count_data_frame,
+    x="Category", 
+    y="Amount",
+    color='Category',
+    title="Transaction Category count",
+    labels={
+        "Category":"Category count",
+        "Amount":"Transaction Amount"
+    }
+    )
     return fig
 
 @callback(
@@ -98,7 +117,16 @@ def update_area_graph(userName):
     filtered_df['Transaction Date'].dt.strftime("%Y-%m-%d")
     transaction_data_frame = filtered_df
     transaction_data_frame = filtered_df.groupby('Transaction Date').count().reset_index()
-    fig = px.area(transaction_data_frame,x='Transaction Date',y='Amount',markers=True,title="Number of transaction on a single day")
+    fig = px.area(transaction_data_frame,
+    x='Transaction Date',
+    y='Amount',
+    markers=True,
+    title="Number of transaction on a single day",
+    labels={
+        "Transaction Date":"Transaction Date",
+        "Amount":"Transaction Count"
+    }
+    )
     return fig
 
 
@@ -108,7 +136,11 @@ def update_area_graph(userName):
 )
 def update_histogram_graph(userName):
     filtered_df = df[df["Card holder"] == userName]
-    fig=px.histogram(filtered_df,x='Approval Status',color="Approval Status",title="Approval status count")
+    fig=px.histogram(filtered_df,
+    x='Approval Status',
+    color="Approval Status",
+    title="Approval status count",
+    )
     return fig