Check out plotly for general graphing use and bokeh for heavy loads. An exhaustive list of dataviz libraries is maintained at https://github.com/fasouto/awesome-dataviz For Python: * altair - Declarative statistical visualizations, based on Vega-lite. * bokeh - Interactive Web Plotting for Python. * diagram - Text mode diagrams using UTF-8 characters * ggplot - plotting system based on R's ggplot2. * glumpy - OpenGL…
Python Graph Gallery
11–20 of 32 posts
Re: Python Graph Gallery
#12Check out plotly for general graphing use and bokeh for heavy loads. An exhaustive list of dataviz libraries is maintained at https://github.com/fasouto/awesome-dataviz For Python: * altair - Declarative statistical visualizations, based on Vega-lite. * bokeh - Interactive Web Plotting for Python. * diagram - Text mode diagrams using UTF-8 characters * ggplot - plotting system based on R's ggplot2. * glumpy - OpenGL…
https://plotnine.readthedocs.io/en/stable/
[deleted]
Re: Python Graph Gallery
#13Check out plotly for general graphing use and bokeh for heavy loads. An exhaustive list of dataviz libraries is maintained at https://github.com/fasouto/awesome-dataviz For Python: * altair - Declarative statistical visualizations, based on Vega-lite. * bokeh - Interactive Web Plotting for Python. * diagram - Text mode diagrams using UTF-8 characters * ggplot - plotting system based on R's ggplot2. * glumpy - OpenGL…
It's missing the Veusz multiplatform GUI plotting package and associated Python plotting library: https://veusz.github.io/ (I am the main author) The saved files in Veusz are basically Python scripts which reproduce the plot. Plots are built by putting together different types of plotting widgets. These widgets can have their appearance and properties changed in the GUI. The program can also do various types of basic…
[deleted]
Re: Python Graph Gallery
#14Check out plotly for general graphing use and bokeh for heavy loads. An exhaustive list of dataviz libraries is maintained at https://github.com/fasouto/awesome-dataviz For Python: * altair - Declarative statistical visualizations, based on Vega-lite. * bokeh - Interactive Web Plotting for Python. * diagram - Text mode diagrams using UTF-8 characters * ggplot - plotting system based on R's ggplot2. * glumpy - OpenGL…
It's missing the Veusz multiplatform GUI plotting package and associated Python plotting library: https://veusz.github.io/ (I am the main author) The saved files in Veusz are basically Python scripts which reproduce the plot. Plots are built by putting together different types of plotting widgets. These widgets can have their appearance and properties changed in the GUI. The program can also do various types of basic…
do you not know how to fork , update, and submit a PR? if not, now you do
Re: Python Graph Gallery
#15[deleted]
Re: Python Graph Gallery
#16Earlier quoted context omitted.
It's missing the Veusz multiplatform GUI plotting package and associated Python plotting library: https://veusz.github.io/ (I am the main author) The saved files in Veusz are basically Python scripts which reproduce the plot. Plots are built by putting together different types of plotting widgets. These widgets can have their appearance and properties changed in the GUI. The program can also do various types of basic…
do you not know how to fork , update, and submit a PR? if not, now you do
If you had checked the repository, you would have seen that I had already done that. I posted here the link to add your list.
Re: Python Graph Gallery
#17Earlier quoted context omitted.
do you not know how to fork , update, and submit a PR? if not, now you do
If you had checked the repository, you would have seen that I had already done that. I posted here the link to add your list.
Re: Python Graph Gallery
#18Check out plotly for general graphing use and bokeh for heavy loads. An exhaustive list of dataviz libraries is maintained at https://github.com/fasouto/awesome-dataviz For Python: * altair - Declarative statistical visualizations, based on Vega-lite. * bokeh - Interactive Web Plotting for Python. * diagram - Text mode diagrams using UTF-8 characters * ggplot - plotting system based on R's ggplot2. * glumpy - OpenGL…
Does anyone know of a good non-blocking plotting library for Python?
I find that for some applications matplotlib really slows down my loops, but there are times that I really need to visualize the in-progress computations. While some other libraries might be faster, what I really want is simply to send instructions and data to a separate process that is performing the plotting. I'd like it to completely render a frame and simply skip instructions for following frames until it's done rendering, avoid buffering up every single frame that is sent to it, and have it plot the next available frame when it's done. I have yet to see a library that functions this way. Basically I want to be able to easily visualize an on-going computation without blocking it just for the rendering of temporary results.
Re: Python Graph Gallery
#19Check out plotly for general graphing use and bokeh for heavy loads. An exhaustive list of dataviz libraries is maintained at https://github.com/fasouto/awesome-dataviz For Python: * altair - Declarative statistical visualizations, based on Vega-lite. * bokeh - Interactive Web Plotting for Python. * diagram - Text mode diagrams using UTF-8 characters * ggplot - plotting system based on R's ggplot2. * glumpy - OpenGL…
Does anyone know of a good non-blocking plotting library for Python? I find that for some applications matplotlib really slows down my loops, but there are times that I really need to visualize the in-progress computations. While some other libraries might be faster, what I really want is simply to send instructions and data to a separate process that is performing the plotting. I'd like it to completely render a fra…
This is a cool idea. I would be open to working with you on this if you'd like to collaborate! (my contact in profile)
Re: Python Graph Gallery
#20Check out plotly for general graphing use and bokeh for heavy loads. An exhaustive list of dataviz libraries is maintained at https://github.com/fasouto/awesome-dataviz For Python: * altair - Declarative statistical visualizations, based on Vega-lite. * bokeh - Interactive Web Plotting for Python. * diagram - Text mode diagrams using UTF-8 characters * ggplot - plotting system based on R's ggplot2. * glumpy - OpenGL…
I can vouch for pygal, if you can find what you need in the set it provides. I found it quite hard to customize some elements of it (ended up doing post-processing on the output SVG).