Pandas: powerful Python data analysis toolkit

Описание

Pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way toward this goal. Pandas is well suited for many different kinds of data: 
Tabular data with heterogeneously-typed columns, as in an SQL table or Excel spreadsheet 
Ordered and unordered (not necessarily fixed-frequency) time series data. 
Arbitrary matrix data (homogeneously typed or heterogeneous) with row and column labels 
Any other form of observational / statistical data sets. The data actually need not be labeled at all to be placed into a pandas data structure

Схожие книги

Глубокое обучение на Python. Шолле Франсуа
Python
ru

Глубокое обучение на Python. Шолле Франсуа

Think DSP Digital Signal Processing in Python. Allen B. Downey
Python
en

Think DSP Digital Signal Processing in Python. Allen B. Downey

Python. Карманный справочник. Марк Лутц
Python
ru

Python. Карманный справочник. Марк Лутц

Python. Экспресс-курс. 3-е изд. Седер Наоми
Python
ru

Python. Экспресс-курс. 3-е изд. Седер Наоми

×