ipyvizzu
matplotlib
ipyvizzu | matplotlib | |
---|---|---|
7 | 36 | |
924 | 19,356 | |
0.9% | 1.1% | |
8.9 | 10.0 | |
12 days ago | about 19 hours ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Python License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ipyvizzu
- IPyVizzu: Build animated charts with simple Python syntax
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Show HN: Build, present and share animated data stories in Jupyter Notebook
We built this presentation extension of our open-source charting tool ipyvizzu (https://github.com/vizzuhq/ipyvizzu) because we learnt from the interviews and feedback from data scientists that they struggle with presenting and sharing the results of their analysis with less tech savvy people.
Here's a live example: https://vizzuhq.github.io/ipyvizzu-story/examples/demo/ipyvi...
What do you think?
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Hacker News top posts: Apr 3, 2022
Show HN: ipyvizzu – open-source animated charts in Jupyter Notebooks\ (0 comments)
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Show HN: Ipyvizzu – animated charts in Jupyter Notebooks
Not yet, unfortunately, I've opened an issue in our tracker for slideshow support: https://github.com/vizzuhq/ipyvizzu/issues/102
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ipyvizzu - create animated charts in Jupyter Notebook using Python with this open-source tool
More info, tutorial & examples: https://github.com/vizzuhq/ipyvizzu
matplotlib
- How and where is matplotlib package making use of PySide?
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/matplotlib/matplotlib
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Tkinter, PyGame windows too large on Mac
as suggested here.
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[OC] Attempted & Completed Suicide Rate in Canada, 1998/99
Tool: Matplotlib Pyplot
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Help unpickling an old dataset
The issue was described here: https://github.com/matplotlib/matplotlib/issues/8409, but the "solution" was just "this is fixed" which was not helpful to me.
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The Python Packages That Gave Me Nightmares: A Guide to Overcoming Common Challenges
Matplotlib: Matplotlib is a 2D plotting library that allows you to create visualizations of your data. It's a powerful tool for data analysis, but the syntax can be complex and the customization options can be overwhelming. GitHub - https://github.com/matplotlib/matplotlib
- pcolormesh very slow when using "log" axes
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Question: What is matplotlib short for?
A quick google shows: this history.txt:
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Linear Regression
Let's take a small subset i.e 20 data points of our prediction and compare it with actual output using matplotlib library
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Where to find a dynamic charge density animation/simulation?
I will think more about what I want to say next, but for now, I would like to say that I need the super-particles and PIC methods as I think that is the way forward for me. Are there ways to implement these methods in matplotlib, Visit or Paraview? Do I take existing code and import it into those programs to visualize it? Or can I directly program/simulate something in those visualizion tools without needing to import any code?
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
ggplot - ggplot port for python
pygal - PYthon svg GrAph plotting Library
Flask JSONDash - :snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.
bqplot - Plotting library for IPython/Jupyter notebooks
folium - Python Data. Leaflet.js Maps.
bokeh - Interactive Data Visualization in the browser, from Python
plotnine - A Grammar of Graphics for Python