pyexcel-io | One interface to read and write the data in various excel | CSV Processing library

by pyexcel Python Version: 0.6.6 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pyexcel-io Summary

pyexcel-io is a Python library typically used in Utilities, CSV Processing, Pandas applications. pyexcel-io has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyexcel-io has a Non-SPDX License. You can install using 'pip install pyexcel-io' or download it from GitHub, PyPI.

One interface to read and write the data in various excel formats, import the data into and export the data from databases

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Quality

Security

License

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Support

pyexcel-io has a low active ecosystem.

It has 49 star(s) with 20 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 2 open issues and 61 have been closed. On average issues are closed in 22 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyexcel-io is 0.6.6

Quality

pyexcel-io has 0 bugs and 0 code smells.

Security

pyexcel-io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyexcel-io code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyexcel-io has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pyexcel-io releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pyexcel-io saves you 1903 person hours of effort in developing the same functionality from scratch.

It has 4600 lines of code, 548 functions and 60 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyexcel-io and discovered the below as its top functions. This is intended to give you an instant insight into pyexcel-io implemented functionality, and help decide if they suit your requirements.

Write data to file
Returns a Writer instance
Create a new writer
Return True if instance is a stream
Get image data
Create a spreadsheet
Loads data from a spreadsheet
Load data
Get a plugin
Open file content
Yield each element of a row
Reads the worksheet
Read a csv sheet at index
Read files
Set the column names
Set column name mapping
Writes a new row
Get the file handle
Register a file type
Create a sheet writer
Builds source and wheel distribution
Raises an exception
Write a row to the model
Creates a new SQL table writer
Convert file content to stream
Write the data to the sheet

Get all kandi verified functions for this library.

pyexcel-io Key Features

No Key Features are available at this moment for pyexcel-io.

pyexcel-io Examples and Code Snippets

No Code Snippets are available at this moment for pyexcel-io.

Community Discussions

Trending Discussions on pyexcel-io

Solve python ValueError: max_workers must be <= 61 when running pre-commit?

Usage of LSTM/GRU and Flatten throws dimensional incompatibility error

QUESTION

Solve python ValueError: max_workers must be <= 61 when running pre-commit?

Asked 2021-Jun-28 at 02:39

I am using Django to develop an ERP and I want to use pre-commit with my project.

I have installed pre-commit, black, flake8, flake8-black. and this is my

...

ANSWER

Answered 2021-Jun-27 at 07:04

This is a known issue with cpython on windows. The error occurs when black tries to run multiple workers on >60 core machines because the default number of process workers given by os.cpu_count() breaks some other windows limit (number of waiting processes? I'm not quite sure). Black >=19.10b0 has a fix for this, so try updating the version of black in your pre-commit config if you can?

Python bug report: https://bugs.python.org/issue26903
Fix applied by this PR in black: https://github.com/psf/black/pull/838

Source https://stackoverflow.com/questions/68148458

QUESTION

Usage of LSTM/GRU and Flatten throws dimensional incompatibility error

Asked 2020-Sep-15 at 20:26

I want to make use of a promising NN I found at towardsdatascience for my case study.

The data shapes I have are:

...

ANSWER

Answered 2020-Aug-17 at 18:14

I cannot reproduce your error, check if the following code works for you:

Source https://stackoverflow.com/questions/63455257

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyexcel-io

You can install using 'pip install pyexcel-io' or download it from GitHub, PyPI.
You can use pyexcel-io 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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