Update pages/1_Tweets_Visualization_🔎_.py

pages/1_Tweets_Visualization_🔎_.py

@@ -44,14 +44,14 @@ try:
             st.subheader('Sentiment Scatter Plot')
             ## Display negative sentence locations
             ht = df.tweet.apply(lambda txt: '<br>'.join(textwrap.wrap(txt, width=70)))
-            fig = px.scatter(df, y='sentiment', x='creation_time', color='topic', size='sentiment_confidence', hover_data=[ht,'topic'], \
+            fig = px.scatter(df, y='sentiment', x='creation_time', color='sentiment', size='sentiment_confidence', hover_data=[ht,'topic','username'], \
                              color_discrete_map={"Bearish":"firebrick","Neutral":"navajowhite","Bullish":"darkgreen"}, \
                              title='Sentiment Score Distribution')
         
             fig.update_layout(
             	showlegend=False,
                 autosize=True,
-                width=1000,
+                width=900,
                 height=500,
                 margin=dict(
                     b=5,
@@ -66,13 +66,13 @@ try:
             st.subheader('Topic Distribution Scatter Plot')
             ## Display negative sentence locations
             ht = df.tweet.apply(lambda txt: '<br>'.join(textwrap.wrap(txt, width=70)))
-            fig = px.scatter(df, y='topic', x='creation_time', color='sentiment', size='topic_confidence', hover_data=[ht,'sentiment'],\
+            fig = px.scatter(df, y='topic', x='creation_time', color='sentiment', size='topic_confidence', hover_data=[ht,'topic','username'],\
                              title='Topic Score Distribution')
         
             fig.update_layout(
             	showlegend=False,
                 autosize=True,
-                width=1000,
+                width=900,
                 height=500,
                 margin=dict(
                     b=5,