pandas Description

Pandas is an open-source data analysis and manipulation tool that is fast, flexible, flexible, and easy to use. It was built on top the Python programming language. Tools for reading and writing data between memory data structures and various formats: CSV, text files, Microsoft Excel, SQL databases and the fast HDF5 format. Intelligent data alignment and integrated handling missing data: Use a powerful group engine to perform split-apply/combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. You can even create domain-specific offsets and join time sequences without losing data.

Integrations

API:
Yes, pandas has an API
View Integrations

Reviews - 1 Verified Review

Total
ease
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
SaaS
Type of Training
Documentation
Customer Support
Online

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

    Read More...