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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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

3LC Yes 
Amazon SageMaker Data Wrangler Yes 
ApertureDB Yes 
Avanzai Yes 
Flower Yes 
Flyte Yes 
GLM-5.1 Yes 
GLM-5.3 Yes 
Giskard Yes 
Kedro Yes 
LanceDB Yes 
Microsoft Excel No 
OrcaSheets Yes 
Sliq Yes 
TeamStation Yes 
ThinkData Works Yes 
Train in Data Yes 
Union Pandera Yes 

Integrations

3LC No 
Amazon SageMaker Data Wrangler No 
ApertureDB No 
Avanzai No 
Flower No 
Flyte No 
GLM-5.1 No 
GLM-5.3 No 
Giskard No 
Kedro No 
LanceDB No 
Microsoft Excel Yes 
OrcaSheets No 
Sliq No 
TeamStation No 
ThinkData Works No 
Train in Data No 
Union Pandera No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

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 No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Product Features

Alternatives

Alternatives

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ML.NET

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warcat

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