tdda 1.0.30

这是什么？

tdda python模块为 数据分析的整个过程，通过以下工具：

• Reference Testing: extensions to unittest and pytest for managing testing of data analysis pipelines, where the results are typically much larger, and more complex, than single numerical values.
• Constraints: tools (and API) for discovery of constraints from data, for validation of constraints on new data, and for anomaly detection.
• Finding Regular Expressions: tools (and API) for automatically inferring regular expressions from text data.

文档

http://tdda.readthedocs.io

安装

安装所有tdda python模块的最简单方法是使用pip：

pip install tdda

包括所有示例在内的全套源代码都可以从 PYPI带：

pip download –no-binary :all: tdda

这些资源也可以从github公开获得：

git clone git@github.com:tdda/tdda.git

文档可在http://tdda.readthedocs.io获得。

如果克隆github repo，请使用

python setup.py install

然后安装命令行工具（tdda和rexpy）。

引用测试

tdda.referencetest库用于支持 基于unittest或pytest创建引用测试。

这些测试与其他测试一样，除了：

1. They have special support for comparing strings to files and files to files.
2. That support includes the ability to provide exclusion patterns (for things like dates and versions that might be in the output).
3. When a string/file assertion fails, it spits out the command you need to diff the output.
4. If there were exclusion patterns, it also writes modified versions of both the actual and expected output and also prints the diff command needed to compare those.
5. They have special support for handling CSV files.
6. It supports flags (-w and -W) to rewrite the reference (expected) results once you have confirmed that the new actuals are correct.

有关源分发或签出的更多详细信息，请参见readme.md 文件和示例位于referencetest子目录中。

约束

tdda.constraints库用于“发现”约束 从（pandas）数据框中，将它们写为json，并验证 数据集满足约束文件中的约束。

有关源分发或签出的更多详细信息，请参见readme.md 文件和示例位于constraints子目录中。

查找正则表达式

tdda存储库还包括一个自动 从单个数据示例字段推断正则表达式。

资源

有关这些主题的资源包括：

• TDDA Blog: http://www.tdda.info
• Quick Reference Guide (“Cheatsheet”): http://www.tdda.info/pdf/tdda-quickref.pdf
• Full documentation: http://tdda.readthedocs.io
• General Notes on Constraints and Assertions: http://www.tdda.info/constraints-and-assertions
• Notes on using the Pandas constraints library: http://www.tdda.info/constraint-discovery-and-verification-for-pandas-dataframes

• PyCon UK Talk on TDDA:

  • Video: https://www.youtube.com/watch?v=FIw_7aUuY50
  • Slides and Rough Transcript: http://www.tdda.info/slides-and-rough-transcript-of-tdda-talk-from-pycon-uk-2016

所有示例、测试和代码都在Python2.7、Python3.5和Python3.6下运行。