django-chartit | Django app to plot charts | Chart library
kandi X-RAY | django-chartit Summary
kandi X-RAY | django-chartit Summary
A Django app to plot charts and pivot charts directly from the models. Uses HighCharts and jQuery JavaScript libraries to render the charts on the webpage.
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Top functions reviewed by kandi - BETA
- Generate plot
- Get attribute from obj
- Generate a set of variables that can be used to generate data
- Generate a queryset based on the query_groups
- Set default hcoptions
- Convert obj to RDD
- Updates the dictionary with the given element
- Return the version string
- Read a file
- Highlight a table
- Return a lexer for the given value
- Colorize a value
- Add data to series
- Generate vqs from the query_groups
django-chartit Key Features
django-chartit Examples and Code Snippets
Community Discussions
Trending Discussions on django-chartit
QUESTION
I am trying to deploy my Python app on Heroku, but have been unsuccessful. It seems that a problem is occurring with the PyICU
package, which I'm unsure how to correct. I've confirmed that this is the only issue with my deployment; when I remove PyICU
from my requirements file, everything works. But of course my site can't work without it.
Can anyone please guide me in how to correctly install this package on Heroku? I've tried various methods, including downloading the .whl file and then adding that to my requirements file, but then I get another error:
ERROR: PyICU-2.7.3-cp38-cp38m-win_amd64.whl is not a supported wheel on this platform.
I don't understand why - it's the correct Python and os version.
Here are the relevant excerpts from the build log:
...ANSWER
Answered 2021-May-26 at 15:55Why are you using the windows wheel (PyICU-2.7.3-cp38-cp38m-win_amd64.whl
)? You probably need a manylinux
wheel.
You can also try pyicu-binary
package.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install django-chartit
You can use django-chartit 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.
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