csv_exp | CSV Export utility for Oracle database | CSV Processing library

by dbvisitsoftware Python Version: Current License: GPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | csv_exp Summary

csv_exp is a Python library typically used in Utilities, CSV Processing, Oracle applications. csv_exp has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However csv_exp build file is not available. You can download it from GitHub.

CSV Export utility for Oracle database

Support

Quality

Security

License

Reuse

Support

csv_exp has a low active ecosystem.

It has 15 star(s) with 9 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 8 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of csv_exp is current.

Quality

csv_exp has 0 bugs and 0 code smells.

Security

csv_exp has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

csv_exp code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

csv_exp is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

csv_exp releases are not available. You will need to build from source code and install.

csv_exp has no build file. You will be need to create the build yourself to build the component from source.

csv_exp saves you 77 person hours of effort in developing the same functionality from scratch.

It has 200 lines of code, 5 functions and 1 files.

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

Top functions reviewed by kandi - BETA

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

Exports a table to a CSV file
Get safe column names from table
Write a SQL statement to Excel
Expand a schema
Exports a table to a csv file
Write a SQL statement to a file

Get all kandi verified functions for this library.

csv_exp Key Features

No Key Features are available at this moment for csv_exp.

csv_exp Examples and Code Snippets

No Code Snippets are available at this moment for csv_exp.

Community Discussions

Trending Discussions on csv_exp

Unable to download from streamlit in csv format

QUESTION

Unable to download from streamlit in csv format

Asked 2021-Jun-21 at 16:03

I am trying to download a data frame from streamlit in the form of a csv file. However it is not able to download in the CSV form rather it is downloading in an object.I have to manually convert to csv to get my desire output.Below is the sample code:

...

ANSWER

Answered 2021-Jun-21 at 16:03

I've run your code. When I click the link, I see it save as download.

I change it to download.csv during the saving process and it seems to work.

When I open up download it doesn't open in my csv viewer.
When I open up download.csv it does open in my csv viewer.

When I run cat download and cat download.csv the outputs are identical and are in csv format. So the data is identical.

It seems that what you want is a way to create a default file name with .csv in it.

Here's a modified version of your csv download button that does that.

Source https://stackoverflow.com/questions/68064866

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

Vulnerabilities

No vulnerabilities reported

Install csv_exp

You can download it from GitHub.
You can use csv_exp 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 .

Find more information at: