update app.py

modifying the `plot_new_wc` method to plot the word cloud in horizontal manner

app.py

@@ -442,25 +442,46 @@ def generate_wc(processed_expt_df):
   return positive_wc, negative_wc, neutral_wc
 
 
+# def plot_news_wc(positive_wc, negative_wc, neutral_wc):
+#   fig, axs = plt.subplots(1, 3, figsize=(20, 20))
+#   ax1 = axs[0]
+#   ax2 = axs[1]
+#   ax3 = axs[2]
+
+#   ax1.imshow(positive_wc)
+#   ax1.axis('off')
+#   ax1.set_title('WordCloud for Positive Words in News', size=18, pad=20)
+
+#   ax2.imshow(negative_wc)
+#   ax2.axis('off')
+#   ax2.set_title('WordCloud for Negative Words in News', size=18, pad=20)
+
+#   ax3.imshow(neutral_wc)
+#   ax3.axis('off')
+#   ax3.set_title('WordCloud for Neutral Words in News', size=18, pad=20)
+
+#   return fig
+
 def plot_news_wc(positive_wc, negative_wc, neutral_wc):
-  fig, axs = plt.subplots(1, 3, figsize=(20, 20))
-  ax1 = axs[0]
-  ax2 = axs[1]
-  ax3 = axs[2]
+    fig, axs = plt.subplots(3, 1, figsize=(10, 30))  # 3 rows, 1 column
+
+    ax1 = axs[0]
+    ax2 = axs[1]
+    ax3 = axs[2]
 
-  ax1.imshow(positive_wc)
-  ax1.axis('off')
-  ax1.set_title('WordCloud for Positive Words in News', size=18, pad=20)
+    ax1.imshow(positive_wc)
+    ax1.axis('off')
+    ax1.set_title('WordCloud for Positive Words in News', size=18, pad=20)
 
-  ax2.imshow(negative_wc)
-  ax2.axis('off')
-  ax2.set_title('WordCloud for Negative Words in News', size=18, pad=20)
+    ax2.imshow(negative_wc)
+    ax2.axis('off')
+    ax2.set_title('WordCloud for Negative Words in News', size=18, pad=20)
 
-  ax3.imshow(neutral_wc)
-  ax3.axis('off')
-  ax3.set_title('WordCloud for Neutral Words in News', size=18, pad=20)
+    ax3.imshow(neutral_wc)
+    ax3.axis('off')
+    ax3.set_title('WordCloud for Neutral Words in News', size=18, pad=20)
 
-  return fig
+    return fig
 
 def get_news_wc(expt_df):
   processed_expt_df = preprocessing_data(expt_df)