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James McCool
commited on
Commit
·
855228a
1
Parent(s):
3d72ea9
Refactor player frequency tables to include salary and improve formatting
Browse files
app.py
CHANGED
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@@ -555,8 +555,9 @@ with tab2:
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# Create a DataFrame with the results
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summary_df = pd.DataFrame({
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'Player': value_counts.index,
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'Frequency': value_counts.values,
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'Percentage': percentages.values
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})
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# Sort by frequency in descending order
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@@ -564,7 +565,7 @@ with tab2:
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# Display the table
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st.write("Player Frequency Table:")
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st.dataframe(summary_df.style.format({'Percentage': '{:.2f}%'}), height=500, use_container_width=True)
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st.download_button(
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label="Export player frequency",
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@@ -587,9 +588,9 @@ with tab2:
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# Create a DataFrame with the results
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summary_df = pd.DataFrame({
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'Player': value_counts.index,
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'Frequency': value_counts.values,
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'Percentage': percentages.values
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'Salary': [salary_dict.get(player, player) for player in value_counts.index]
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})
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# Sort by frequency in descending order
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@@ -597,7 +598,7 @@ with tab2:
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# Display the table
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st.write("Seed Frame Frequency Table:")
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st.dataframe(summary_df.style.format({'Percentage': '{:.2f}%'}), height=500, use_container_width=True)
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st.download_button(
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label="Export seed frame frequency",
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# Create a DataFrame with the results
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summary_df = pd.DataFrame({
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'Player': value_counts.index,
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'Salary': [salary_dict.get(player, player) for player in value_counts.index],
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'Frequency': value_counts.values,
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'Percentage': percentages.values
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})
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# Sort by frequency in descending order
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# Display the table
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st.write("Player Frequency Table:")
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st.dataframe(summary_df.style.format({'Percentage': '{:.2f}%'}, precision=2), height=500, use_container_width=True)
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st.download_button(
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label="Export player frequency",
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# Create a DataFrame with the results
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summary_df = pd.DataFrame({
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'Player': value_counts.index,
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'Salary': [salary_dict.get(player, player) for player in value_counts.index],
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'Frequency': value_counts.values,
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'Percentage': percentages.values
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})
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# Sort by frequency in descending order
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# Display the table
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st.write("Seed Frame Frequency Table:")
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st.dataframe(summary_df.style.format({'Percentage': '{:.2f}%'}, precision=2), height=500, use_container_width=True)
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st.download_button(
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label="Export seed frame frequency",
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