[ 原始碼： pandas ]
套件：python3-pandas（2.2.3 dfsg-5）
python3-pandas 的相關連結
Debian 的資源：
下載原始碼套件 pandas：
維護小組：
- Debian Science Team (QA 頁面, 郵件存檔)
- Yaroslav Halchenko (QA 頁面)
- Michael Hanke (QA 頁面)
- Rebecca N. Palmer (QA 頁面)
外部的資源：
- 主頁 [pandas.pydata.org]
相似套件：
data structures for "relational" or "labeled" data
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
- Fast array facility to the Python language (Python 3)
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- dep: python3-numpy (>= 1:1.23.2~)
- Fast array facility to the Python language (Python 3)
- 或者 python3-supported-max (<< 3.11)
- 套件暫時不可用
- 或者 python3-supported-min (>= 3.12)
- 套件暫時不可用
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- dep: python3-numpy (>= 1:1.23.2~)
- Fast array facility to the Python language (Python 3)
- 或者 python3-supported-max (<< 3.12)
- 套件暫時不可用
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- dep: python3-numpy (>= 1:1.23.2~)
- Fast array facility to the Python language (Python 3)
- 或者 python3-supported-min (>= 3.11)
- 套件暫時不可用
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- dep: python3-pandas-lib (>= 2.2.3 dfsg)
- low-level implementations and bindings for pandas
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- dep: python3-tz (>= 2022.7~)
- Python3 version of the Olson timezone database
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- dep: tzdata
- 有關時區與日光節約時間的資料
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- rec: python3-bottleneck
- Fast NumPy array functions written in C (Python 3)
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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-jinja2
- small but fast and easy to use stand-alone template engine
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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
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- rec: python3-numexpr
- Fast numerical array expression evaluator for Python 3 and NumPy
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- rec: python3-odf
- Python3 API to manipulate OpenDocument files
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- rec: python3-openpyxl
- Python 3 module to read/write OpenXML xlsx/xlsm files
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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
- data structures for "relational" or "labeled" data - documentation
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- sug: python3-statsmodels
- Python3 module for the estimation of statistical models