Mpavan45 commited on
Commit
e6856cc
·
verified ·
1 Parent(s): d33c021

Update pages/3_EDA and Feature Engineering.py

Browse files
pages/3_EDA and Feature Engineering.py CHANGED
@@ -17,7 +17,7 @@ st.markdown(
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  <style>
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  .stApp {{
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  background-image: url("{background_image_url}");
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- background-size: 60% auto; /* Ensure the image width is 100% of the screen, and the height scales proportionally */
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  background-repeat: repeat-y; /* Repeat only vertically */
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  background-position: top center; /* Start repeating from the top center */
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  background-attachment: fixed; /* Keeps the background fixed as you scroll */
@@ -108,7 +108,7 @@ st.write("""
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  st.write("Further steps will include generating visualizations and statistical tests to explore relationships between features in more detail.")
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  # Access dataset from session state
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- data= st.session_state.get("dataset")
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  if data is not None:
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  st.subheader("Dataset Preview:")
@@ -118,10 +118,11 @@ if data is not None:
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  st.subheader("Info of the Dataset:")
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  # Redirect the output of df.info() to a string buffer
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  buffer = StringIO()
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- data.info(buf=buffer)
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-
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- # Display the content in Streamlit
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- st.write(buffer.getvalue())
 
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  st.subheader("Dataset Statistics:")
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  st.write(data.describe())
 
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  <style>
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  .stApp {{
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  background-image: url("{background_image_url}");
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+ background-size: auto; /* Ensure the image width is 100% of the screen, and the height scales proportionally */
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  background-repeat: repeat-y; /* Repeat only vertically */
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  background-position: top center; /* Start repeating from the top center */
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  background-attachment: fixed; /* Keeps the background fixed as you scroll */
 
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  st.write("Further steps will include generating visualizations and statistical tests to explore relationships between features in more detail.")
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  # Access dataset from session state
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+ data= st.session_state.get("df")
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  if data is not None:
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  st.subheader("Dataset Preview:")
 
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  st.subheader("Info of the Dataset:")
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  # Redirect the output of df.info() to a string buffer
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  buffer = StringIO()
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+ df.info(buf=buffer)
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+
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+ # Display the content in Streamlit as Markdown
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+ st.subheader("Info of the Dataset:")
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+ st.markdown(f"```{buffer.getvalue()}```")
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  st.subheader("Dataset Statistics:")
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  st.write(data.describe())