dataPlots | CSCI40 hw02 building data plots with json files | Data Visualization library

by ohorban Python Version: Current License: No License

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

kandi X-RAY | dataPlots Summary

dataPlots is a Python library typically used in Analytics, Data Visualization, D3 applications. dataPlots has no bugs, it has no vulnerabilities and it has low support. However dataPlots build file is not available. You can download it from GitHub.

CSCI40 hw02 building data plots with json files

Support

Quality

Security

License

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Support

dataPlots has a low active ecosystem.

It has 14 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

dataPlots has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dataPlots is current.

Quality

dataPlots has no bugs reported.

Security

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

License

dataPlots does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

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dataPlots Key Features

No Key Features are available at this moment for dataPlots.

dataPlots Examples and Code Snippets

No Code Snippets are available at this moment for dataPlots.

Community Discussions

Trending Discussions on dataPlots

Trying to know how many rows I have from the different fleets in django

Custom command to upload photo to Photologue from within Django shell?

QUESTION

Trying to know how many rows I have from the different fleets in django

Asked 2020-May-28 at 20:33

I'm working with a project that has 3 models.

Devices: All the devices involved in the project.
Fleets: Each device is in one fleet.
Data: The data that the devices send.

Now I want to know how much data have come me today.

In my view I have this,

...

ANSWER

Answered 2020-May-28 at 20:33

You can annotate the Fleets with the given amount of data, for example:

Source https://stackoverflow.com/questions/62073977

QUESTION

Custom command to upload photo to Photologue from within Django shell?

Asked 2017-Aug-16 at 17:22

I have successfully employed Photologue to present galleries of regularly-created data plot images. Of course, now that the capability has been established, an obscene number of data plots are being created and they need to be shared!

Scripting the process of uploading images and adding them to galleries using manage.py from the Django shell is the next step; however, as an amateur with Django, I am having some difficulties.

Here is the custom command addphoto.py that I have currently developed:

...

ANSWER

Answered 2017-Aug-04 at 08:17

On just one part of your question: the slug column is empty when the Photo is saved.

It should automatically be populated when the Photo is saved - as your copy-and-paste of the Photologue source code above if self.slug is None: self.slug = slugify(self.title) makes clear.

This suggests that the Photologue source code is not actually being called from your management command - you can check this by adding some quick debugging code to your local copy of the Photologue code, e.g. a print() statement in the save() method, and check if it is being run.

Source https://stackoverflow.com/questions/45487717

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

Vulnerabilities

No vulnerabilities reported

Install dataPlots

You can download it from GitHub.
You can use dataPlots 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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