You're Invited:Meet the Socket Team at BlackHat and DEF CON in Las Vegas, Aug 4-6.RSVP
Socket
Book a DemoInstallSign in
Socket

easy-df-profiling

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

easy-df-profiling

A package that allows you to easily profile your dataframe, check for missing values, outliers, data types.

0.1.2
pipPyPI
Maintainers
1

Data Frame Profiling - A package that allows to easily profile your dataframe, check for missing values, outliers, data types.

    Import Lib
  • from df_profiling import DF_Profiling
    Profile your Data:
  • DF_Profiling.profiling("my_file.csv")

    Either using Google Colab or Saving it as csv file, use the filter options to easily check for:
  • Data Types
  • Counts
  • Missing Values Count
  • Missing Values Percentage
  • Min Value
  • Quartiles: 1st, 3rd
  • Median
  • Lower Bound Limits
  • Upper Bound Limits
  • Max Value
  • Unique Values
  • Spot Potential Outliers

    Save / Export your Analyses

  • DF_Profiling.profiling("my_file.csv").to_csv("my_profiling.csv")

Keywords

python

FAQs

Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts