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Easy Statistical Visualization

Project description

Easy_Plot

Easy_plot is a Python package built to provide easy and fast production-quality visualizations of statistical data. Utilizes pandas dataframes as standard format for input data.

Current Features

  • easy_plot.distribution(df)

    • Plot a "Distribution Plot": a swarmplot alongside a cumulative probability plot.
    • Usage:
      import pandas
      import easy_plot
      df = pandas.read_csv('test.csv')
      easy_plot.distribution(df, bin_col='Weight', result_col='Value')
      
  • easy_plot.scatter(df)

    • Plot a scatter plot.
    • Usage:
      import pandas
      import easy_plot
      df = pandas.read_csv('test.csv')
      easy_plot.scatter(df, xvar='Value', yvar='Value_2', sizevar='Weight')
      
  • easy_plot.scatter_matrix(df)

    • Plot a matrix of scatter plots.
    • Usage:
      import pandas
      import easy_plot
      df = pandas.read_csv('test.csv')
      easy_plot.scatter_matrix(df)
      
  • easy_plot.heatmap(df)

    • Plot a heatmap.
    • Usage:
      import pandas
      import easy_plot
      df = pandas.read_csv('test.csv')
      easy_plot.heatmap(df)
      

License

MIT

Project details


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Source Distribution

easy_plot-0.1.0.tar.gz (10.0 kB view hashes)

Uploaded Source

Built Distribution

easy_plot-0.1.0-py3-none-any.whl (15.8 kB view hashes)

Uploaded Python 3

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