pandas Description

Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.

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Integrations

API:
Yes, pandas has an API
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Reviews - 1 Verified Review

Total
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features
design
support
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Company Details

Company:
pandas
Year Founded:
2008
Website:
pandas.pydata.org

Media

pandas Screenshot 1
pandas Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Online Support

pandas Features and Options

Data Analysis Software

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

pandas User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Principal Software Engineer
    Length of product use: 1-2 Years
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Excellent data analysis library

    Date: Aug 02 2022

    Summary: Pandas is an essential Python library for any sort of data analysis. It is incredibly powerful and is well documented.

    Positive: - huge feature set that makes data analysis simple
    - fast and powerful, with little performance impact
    - runs on Python, which is an easy-to-learn and very flexible language
    - good documentation

    Negative: - steep learning curve if you want to make use of advanced functionality

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