csvdiff | two tabular datasets expressed in CSV files | CSV Processing library
kandi X-RAY | csvdiff Summary
kandi X-RAY | csvdiff Summary
csvdiff is a Python library typically used in Utilities, CSV Processing applications. csvdiff has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install csvdiff' or download it from GitHub, PyPI.
Generate a diff between two tabular datasets expressed in CSV files.
Generate a diff between two tabular datasets expressed in CSV files.
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Quality
Security
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csvdiff has a low active ecosystem.
It has 127 star(s) with 28 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 14 open issues and 28 have been closed. On average issues are closed in 135 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of csvdiff is 0.3.3
Quality
csvdiff has 0 bugs and 0 code smells.
Security
csvdiff has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
csvdiff code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
csvdiff is licensed under the BSD-3-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
csvdiff releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
csvdiff saves you 376 person hours of effort in developing the same functionality from scratch.
It has 896 lines of code, 74 functions and 8 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed csvdiff and discovered the below as its top functions. This is intended to give you an instant insight into csvdiff implemented functionality, and help decide if they suit your requirements.
- Compare two files
- Summarize a diff
- Compute the diff between two records
- Create a new Dataset
- Apply a patch to a csv file
- Apply a patch to a file
- Apply a diff
- Return a list of fieldnames that should be used for fieldnames
- Validate a diff object
- Validate a diff
- Diff two records
- Apply patch to records
Get all kandi verified functions for this library.
csvdiff Key Features
No Key Features are available at this moment for csvdiff.
csvdiff Examples and Code Snippets
No Code Snippets are available at this moment for csvdiff.
Community Discussions
Trending Discussions on csvdiff
QUESTION
Python: print column wise differences
Asked 2020-Mar-31 at 10:10
i have below python code to compare 2 CSV file rows, and match each column field and display the difference. However the output is not in order, Please help to improve code output.
(I googled and found a python package csvdiff
but it requires to specify column number.)
2 CSV files:
ANSWER
Answered 2020-Mar-31 at 10:10Try this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install csvdiff
You can install using 'pip install csvdiff' or download it from GitHub, PyPI.
You can use csvdiff like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use csvdiff like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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