Thiloid commited on
Commit
d93c7b2
·
verified ·
1 Parent(s): 6fe9071

Update app.py

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Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -6,7 +6,7 @@ import matplotlib.pyplot as plt
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  footer="""<style>
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  a:link , a:visited{
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- color: blue;
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  background-color: transparent;
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  text-decoration: underline;
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  }
@@ -167,8 +167,8 @@ 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, 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',fontsize=16)
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  ax.set_ylabel('Statements',fontsize=16)
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  ax.set_title('Valuation by Statement',fontsize=16)
@@ -198,8 +198,8 @@ 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, 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',fontsize=16)
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  ax.set_ylabel('Statements',fontsize=16)
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  ax.set_title('Valuation by Statement',fontsize=16)
 
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  footer="""<style>
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  a:link , a:visited{
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+ color: purple;
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  background-color: transparent;
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  text-decoration: underline;
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  }
 
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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=(8, 20))
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+ ax.scatter(filtered_df['valuation'], filtered_df['short_text'], color='purple', s=100) # s is the size of points
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  ax.set_xlabel('Valuation',fontsize=16)
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  ax.set_ylabel('Statements',fontsize=16)
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  ax.set_title('Valuation by Statement',fontsize=16)
 
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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=(8, 20))
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+ ax.scatter(filtered_unique_parties_result['valuation'], filtered_unique_parties_result['short_text'], color='purple', s=100) # s is the size of points
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  ax.set_xlabel('Valuation',fontsize=16)
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  ax.set_ylabel('Statements',fontsize=16)
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  ax.set_title('Valuation by Statement',fontsize=16)