Visual Python Manual
  • Visual Python Manual
  • GETTING STARTED
    • Welcome to Visual Python
    • How to install
    • Installing FAQ
    • Official homepage
    • Link to Github
  • Data Analysis
    • 1. Import
    • 2. File
    • 3. Data Info
    • 4. Frame
      • 4-1. Frame - Edit
      • 4-2. Frame - Transform
      • 4-3. Frame - Sort
      • 4-4. Frame - Encoding
      • 4-5. Frame - Data Cleaning
    • 5. Subset
    • 6. Groupby
    • 7. Bind
    • 8. Reshape
  • Visualization
    • 1. Chart Style
    • 2. Pandas Plot
    • 3. Matplotlib
    • 4. Seaborn
    • 5. Plotly
    • 6. WordCloud
  • Statistics
    • 1. Prob. Distribution
    • 2. Descriptive Statistics
    • 3. Normality Test
    • 4. Equal Var. Test
    • 5. Correlation Analysis
    • 6. Reliability Analysis
    • 7. Chi-square Test
    • 8. Student's T-test
    • 9. ANOVA
    • 10. Factor Analysis
    • 11. Regression
    • 12. Logistic Regression
  • Machine Learning
    • 1. Data Sets
    • 2. Data Split
    • 3. Data Prep
    • 4. AutoML
    • 5. Regressor
    • 6. Classifier
    • 7. Clustering
    • 8. Dimension
    • 9. GridSearch
    • 10. Fit/Predict
    • 11. Model Info
    • 12. Evaluation
    • 13. Pipeline
    • 14. Save / Load
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  1. Visualization

1. Chart Style

Configuring the Basic Style of the Chart from Font to Graph Size

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Last updated 8 months ago

  1. In the Visualization category, click Chart Style.

  1. Import Library: Import Matplotlib and Seaborn.

  2. Figure size: Set the size of the figure that will be output.

  3. Style sheet: Choose the style of the picture that will be output.

  4. Style font: Set the font for the text that will be entered into the graph.

  5. Font size: Choose a font size.

  6. Set Default: Specify the setting as the default value.

  7. Code view: Preview the code that will be output.

  8. Run: Print and run the code.