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PySummaries

  • Welcome to PySumaries documentation!

Getting the summary as a dataframe

  • Getting the summary as a pandas dataframe

Native Backend

  • Native Backend Quickstart
  • Native Backend basic usage
  • Custom CSS
  • Advanced custom CSS

API Reference

  • API documentation

Index

C | G | M | N | P

C

  • calculate_table_summary() (in module pysummaries)
  • categorical_n() (in module pysummaries)
  • categorical_n_percent() (in module pysummaries)
  • categorical_percent() (in module pysummaries)

G

  • get_raw_html() (pysummaries.Pandas2HTMLSummaryTable method)
  • get_sample_data() (in module pysummaries)
  • get_styles() (in module pysummaries)
  • get_table_summary() (in module pysummaries)
  • get_test_data() (in module pysummaries)

M

  • module
    • pysummaries

N

  • numerical_mean_sd() (in module pysummaries)
  • numerical_median_iqr() (in module pysummaries)
  • numerical_median_q1q3() (in module pysummaries)
  • numerical_min_max() (in module pysummaries)
  • numerical_missing() (in module pysummaries)

P

  • Pandas2HTMLSummaryTable (class in pysummaries)
  • pandas_to_report_html() (in module pysummaries)
  • pysummaries
    • module
  • PySummariesException

By Otto Fajardo

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