Thiloid commited on
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d3f01f9
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1 Parent(s): 663939f

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -167,7 +167,7 @@ if uploaded_file is not None:
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  if selected_party: # Check if a party has been selected
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  df['short_text'] = df['statement'].apply(lambda x: ' '.join(x.split()[:11]))
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  filtered_df = df[df['party_name'] == selected_party]
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- fig, ax = plt.subplots(figsize=(12, 6))
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  ax.scatter(filtered_df['valuation'], filtered_df['short_text'], color='blue', s=100) # s is the size of points
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  ax.set_xlabel('Valuation')
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  ax.set_ylabel('Statements')
@@ -196,7 +196,7 @@ if uploaded_file is not None:
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  unique_parties_result = unique_parties[['statement', 'party_name', 'valuation']]
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  unique_parties_result['short_text'] = unique_parties_result['statement'].apply(lambda x: ' '.join(x.split()[:11]))
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  filtered_unique_parties_result = unique_parties_result[unique_parties_result['party_name'] == selected_party]
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- fig, ax = plt.subplots(figsize=(12, 6))
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  ax.scatter(filtered_unique_parties_result['valuation'], filtered_unique_parties_result['short_text'], color='blue', s=100) # s is the size of points
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  ax.set_xlabel('Valuation')
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  ax.set_ylabel('Statements')
 
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  if selected_party: # Check if a party has been selected
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  df['short_text'] = df['statement'].apply(lambda x: ' '.join(x.split()[:11]))
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  filtered_df = df[df['party_name'] == selected_party]
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+ fig, ax = plt.subplots(figsize=(12, 20))
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  ax.scatter(filtered_df['valuation'], filtered_df['short_text'], color='blue', s=100) # s is the size of points
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  ax.set_xlabel('Valuation')
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  ax.set_ylabel('Statements')
 
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  unique_parties_result = unique_parties[['statement', 'party_name', 'valuation']]
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  unique_parties_result['short_text'] = unique_parties_result['statement'].apply(lambda x: ' '.join(x.split()[:11]))
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  filtered_unique_parties_result = unique_parties_result[unique_parties_result['party_name'] == selected_party]
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+ fig, ax = plt.subplots(figsize=(12, 20))
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  ax.scatter(filtered_unique_parties_result['valuation'], filtered_unique_parties_result['short_text'], color='blue', s=100) # s is the size of points
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  ax.set_xlabel('Valuation')
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  ax.set_ylabel('Statements')