[ 原始碼： pandas ]
套件：python3-pandas（0.23.3+dfsg-3）
data structures for "relational" or "labeled" data - Python 3
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. 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
This package contains the Python 3 version.
其他與 python3-pandas 有關的套件
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
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- dep: python3-dateutil
- powerful extensions to the standard Python 3 datetime module
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- dep: python3-numpy (>= 1:1.7~)
- Fast array facility to the Python 3 language
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- dep: python3-pandas-lib (>= 0.23.3+dfsg-3)
- low-level implementations and bindings for pandas - Python 3
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- dep: python3-pkg-resources
- Package Discovery and Resource Access using pkg_resources
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- dep: python3-six
- Python 2 and 3 compatibility library (Python 3 interface)
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- dep: python3-tz
- Python3 version of the Olson timezone database
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- rec: python3-bs4
- error-tolerant HTML parser for Python 3
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- rec: python3-html5lib
- HTML parser/tokenizer based on the WHATWG HTML5 specification
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- rec: python3-lxml
- pythonic binding for the libxml2 and libxslt libraries
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- rec: python3-matplotlib
- Python based plotting system in a style similar to Matlab (Python 3)
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- rec: python3-numexpr
- Fast numerical array expression evaluator for Python 3 and NumPy
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- rec: python3-scipy
- scientific tools for Python 3
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- rec: python3-tables
- hierarchical database for Python3 based on HDF5
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- sug: python-pandas-doc
- documentation and examples for pandas