Tablib

Tablib सारणीबद्ध (tabular) डेटासेट को इम्पोर्ट, एक्सपोर्ट और मैनिपुलेट करने के लिए डिज़ाइन की गई एक Python लाइब्रेरी है। यह एक मल्टी-फ़ॉर्मेट डेटा कनवर्टर और मैनेजर के रूप में कार्य करता है, जो यूज़र्स को विभिन्न फ़ाइल मानकों के बीच जानकारी स्थानांतरित करने की अनुमति देता है।

लाइब्रेरी CSV, JSON, YAML और Excel प्रारूपों में डेटा ट्रांसफ़ॉर्मेशन का सपोर्ट करती है। यह पंक्तियों को जोड़ने, कॉलम को फ़िल्टर करने और रिकॉर्ड्स को अलग करने के लिए इन डेटासेट को प्रबंधित करने के लिए एक प्रोग्रामेटिक इंटरफ़ेस प्रदान करती है।

सिस्टम विविध इनपुट स्रोतों को सामान्य करने के लिए एक सामान्य आंतरिक प्रतिनिधित्व और एडाप्टर-आधारित मैपिंग का उपयोग करता है। यह समर्थित फ़ाइल प्रारूपों में सुसंगत पढ़ने और लिखने की दिनचर्या की अनुमति देता है।

Features

Data Format Converters - Transforms tabular datasets between multiple file standards such as CSV and JSON to move data between tools.
Tabular Format Bridges - Provides a unified bridge that normalizes and converts data between CSV, JSON, YAML, and Excel formats.
Python Tabular Data Libraries - Provides a comprehensive Python tool for managing datasets across CSV, JSON, YAML, and Excel formats.
Tabular Data Exporters - Writes internal tabular datasets to disk in formats like CSV or Excel for use in other applications.
Tabular Data Import - Reads relational data from various file formats into a common internal representation for further processing.
Tabular Data Managers - Offers a programmatic interface for importing, exporting, and organizing structured data in various delimited formats.
Tabular Data Manipulations - Provides a programmatic interface for cleaning, filtering, and modifying structured tabular data.
Tabular Format Parsing - Provides dedicated parsing logic to normalize CSV, JSON, and YAML input sources into a single internal model.
Tabular Importers - Reads tabular data from various file types into a single consistent format for Python applications.
Tabular Row Storage - Organizes datasets as a sequence of records to facilitate efficient row-level operations like adding and filtering.
Excel Workbook Exports - Exports internal Python data structures into multi-sheet Excel workbooks and CSV files for reporting.
Unified Data Representations - Uses a common internal representation to enable seamless conversion between diverse tabular file formats.
Data Loading Extraction - Tabular dataset module for multiple formats.
Document and File Processing - Manages tabular datasets across formats like CSV, JSON, and Excel.
Documentation and Processing - Library for exporting data to multiple formats.

स्टार हिस्ट्री

jazzbandtablib

Name: jazzband/tablib
Author: jazzband

View on GitHub

4,754 स्टार्स596 फोर्क्सPythonMIT3 व्यूज़tablib.readthedocs.io

Tablib

Features

Data Format Converters - Transforms tabular datasets between multiple file standards such as CSV and JSON to move data between tools.
Tabular Format Bridges - Provides a unified bridge that normalizes and converts data between CSV, JSON, YAML, and Excel formats.
Python Tabular Data Libraries - Provides a comprehensive Python tool for managing datasets across CSV, JSON, YAML, and Excel formats.
Tabular Data Exporters - Writes internal tabular datasets to disk in formats like CSV or Excel for use in other applications.
Tabular Data Import - Reads relational data from various file formats into a common internal representation for further processing.
Tabular Data Managers - Offers a programmatic interface for importing, exporting, and organizing structured data in various delimited formats.
Tabular Data Manipulations - Provides a programmatic interface for cleaning, filtering, and modifying structured tabular data.
Tabular Format Parsing - Provides dedicated parsing logic to normalize CSV, JSON, and YAML input sources into a single internal model.
Tabular Importers - Reads tabular data from various file types into a single consistent format for Python applications.
Tabular Row Storage - Organizes datasets as a sequence of records to facilitate efficient row-level operations like adding and filtering.
Excel Workbook Exports - Exports internal Python data structures into multi-sheet Excel workbooks and CSV files for reporting.
Unified Data Representations - Uses a common internal representation to enable seamless conversion between diverse tabular file formats.
Data Loading Extraction - Tabular dataset module for multiple formats.
Document and File Processing - Manages tabular datasets across formats like CSV, JSON, and Excel.
Documentation and Processing - Library for exporting data to multiple formats.

Tablib के ओपन-सोर्स विकल्प

समान ओपन-सोर्स प्रोजेक्ट्स, जो Tablib के साथ साझा की गई सुविधाओं के आधार पर रैंक किए गए हैं।

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Tablib के सभी 30 विकल्प देखें

अक्सर पूछे जाने वाले प्रश्न

jazzband/tablib क्या करता है?

jazzband/tablib की मुख्य विशेषताएं क्या हैं?

jazzband/tablib की मुख्य विशेषताएं हैं: Data Format Converters, Tabular Format Bridges, Python Tabular Data Libraries, Tabular Data Exporters, Tabular Data Import, Tabular Data Managers, Tabular Data Manipulations, Tabular Format Parsing।

jazzband/tablib के कुछ ओपन-सोर्स विकल्प क्या हैं?

jazzband/tablib के ओपन-सोर्स विकल्पों में शामिल हैं: wireservice/csvkit — csvkit is a composable Unix-style command-line toolkit for converting, filtering, and analyzing CSV files directly… xlwings/xlwings — xlwings - Make Excel fly with Python! javascriptdata/danfojs — Danfo.js is a data analysis and preprocessing library for JavaScript that provides high-performance labeled data… mbloch/mapshaper — Mapshaper is a tool for processing, simplifying, and converting geographic vector data, available as a command-line… pymupdf/pymupdf — PyMuPDF is a comprehensive PDF manipulation library and document analysis tool. It serves as a text extraction tool,… kozea/weasyprint — WeasyPrint is a Python-based library and layout engine that converts HTML and CSS into printable PDF documents. It…

स्टार हिस्ट्री

अक्सर पूछे जाने वाले प्रश्न

jazzband/tablib क्या करता है?

jazzband/tablib की मुख्य विशेषताएं क्या हैं?

jazzband/tablib के कुछ ओपन-सोर्स विकल्प क्या हैं?