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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.

Description

The xlrd library is designed for developers looking to extract data from .xls files, which are a type of Microsoft Excel spreadsheet. This tool specifically focuses on reading data and the formatting details contained within these older Excel file formats. It's important to note that xlrd is limited to handling only .xls files moving forward. The library does not process features such as charts, macros, images, or any other embedded elements, including additional worksheets, VBA modules, or formulas, though it can retrieve the results of formula evaluations, comments, hyperlinks, and various filters such as auto, advanced, and pivot tables, as well as conditional formatting and data validation. Unfortunately, password-protected files cannot be accessed or read with this library. When using xlrd from the command line, users can view the first, second, and last rows of each sheet contained within the specified files. Additionally, it's worth mentioning that xlrd is distributed under the BSD license, providing certain freedoms for developers to utilize and modify the library as needed.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
ApertureDB
Avanzai
Cleanlab
Coiled
Dagster+
Dash
Flyte
Kedro
MLJAR Studio
Microsoft Excel
Qualified.io
Spyder
TeamStation
ThinkData Works
Union Pandera
Yandex Data Proc
skills.ai

Integrations

3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
ApertureDB
Avanzai
Cleanlab
Coiled
Dagster+
Dash
Flyte
Kedro
MLJAR Studio
Microsoft Excel
Qualified.io
Spyder
TeamStation
ThinkData Works
Union Pandera
Yandex Data Proc
skills.ai

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

pandas

Founded

2008

Website

pandas.pydata.org

Vendor Details

Company Name

Python Software Foundation

Country

United States

Website

pypi.org/project/xlrd/

Product Features

Data Analysis

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

Product Features

Alternatives

Alternatives

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Python Software Foundation