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streamlit example #187

Merged
merged 1 commit into from
Aug 2, 2024
Merged

streamlit example #187

merged 1 commit into from
Aug 2, 2024

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gyliu513
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@gyliu513 gyliu513 commented Aug 2, 2024 •
edited by coderabbitai bot
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PR Type

enhancement

Description

  • Added a new Streamlit application example.
  • Displayed a title and introductory text using st.title and st.write.
  • Created a DataFrame with sample data and displayed it using st.write.
  • Generated a random DataFrame and displayed it as a line chart using st.line_chart.

Changes walkthrough 📝

Relevant files
Enhancement
streamlit-example.py
Add a simple Streamlit application example                             

streamlit-test/streamlit-example.py

  • Added a new Streamlit application example.
  • Displayed a title and introductory text.
  • Created a DataFrame and displayed it.
  • Generated and displayed a random line chart.
    		•  +19/-0   

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    Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

    Summary by CodeRabbit

    • New Features
      • Introduced a Streamlit application that showcases basic functionalities, including displaying a title, introductory text, and a DataFrame.
      • Added a random chart visualization to enhance user interaction with data.

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    coderabbitai bot commented Aug 2, 2024 •
    edited
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    Walkthrough

    This update introduces a new Streamlit application, showcasing its core functionalities. The app features a title and introductory text, displays a DataFrame with two columns, and visualizes random data through a line chart. This implementation highlights Streamlit's capabilities for interactive data presentation and analysis.

    Changes

    Files Change Summary
    streamlit-test/streamlit-example.py Introduced a simple Streamlit app with title, text, DataFrame display, and line chart visualization.

    Poem

    🐰 In a garden of code where the data blooms,
    A Streamlit app dances, dispelling the glooms.
    With charts that wiggle and DataFrames neat,
    Jump in, dear user, and feel the sweet beat!
    Let numbers and colors together play,
    In this wondrous world, come join the display! 🌼

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    @gyliu513 gyliu513 merged commit 5636fde into main Aug 2, 2024
    2 of 3 checks passed
    @gyliu513 gyliu513 deleted the streamlit branch August 2, 2024 19:54
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    github-actions bot commented Aug 2, 2024

    PR Reviewer Guide 🔍

    ⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪
    🧪 No relevant tests
    🔒 No security concerns identified
    ⚡ No key issues to review

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    github-actions bot commented Aug 2, 2024 •
    edited
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    PR Code Suggestions ✨

    CategorySuggestion                                                                                                                                    Score
    Enhancement
    Use np.random.normal to explicitly set the distribution parameters

    Replace the use of np.random.randn with np.random.normal to specify mean and
    standard deviation explicitly for clarity and control.

    streamlit-test/streamlit-example.py [15]

    -np.random.randn(20, 3),
+np.random.normal(loc=0, scale=1, size=(20, 3)),
    Suggestion importance[1-10]: 8

    Why: This suggestion provides better clarity and control over the random data generation by explicitly setting the mean and standard deviation, which is a meaningful enhancement.

    		8
    Maintainability
    Refactor hardcoded DataFrame into a function for better modularity

    Replace the hardcoded DataFrame with a function that generates the DataFrame. This
    will make the code more modular and easier to update or reuse.

    streamlit-test/streamlit-example.py [8-11]

    -st.write(pd.DataFrame({
-    'Column A': [1, 2, 3, 4],
-    'Column B': [10, 20, 30, 40]
-}))
+def create_dataframe():
+    return pd.DataFrame({
+        'Column A': [1, 2, 3, 4],
+        'Column B': [10, 20, 30, 40]
+    })
+st.write(create_dataframe())
    Suggestion importance[1-10]: 7

    Why: This suggestion improves code modularity and reusability by refactoring the hardcoded DataFrame into a function. However, it is not crucial for the functionality of the code.

    		7
    Readability
    Store DataFrame in a variable before using it to improve readability

    Use a variable to store the DataFrame before passing it to st.write to enhance
    readability and debugging.

    streamlit-test/streamlit-example.py [8-11]

    -st.write(pd.DataFrame({
+data = pd.DataFrame({
     'Column A': [1, 2, 3, 4],
     'Column B': [10, 20, 30, 40]
-}))
+})
+st.write(data)
    Suggestion importance[1-10]: 6

    Why: Storing the DataFrame in a variable enhances readability and makes debugging easier, but it is a minor improvement and not essential for the code's functionality.

    		6

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