d3-scale
Altair
d3-scale | Altair | |
---|---|---|
8 | 43 | |
1,571 | 8,946 | |
-0.1% | 1.1% | |
3.0 | 9.0 | |
7 months ago | 6 days ago | |
JavaScript | Python | |
ISC License | BSD 3-clause "New" or "Revised" License |
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.
d3-scale
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What libraries should I use to recreate a UI like this?
https://github.com/d3/d3-scale for the linear scale mostly
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Open Source Adventures: Episode 28: Introduction to D3
scale system
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A chart walks into a bar: Altair vs. leather
On the other hand, for the Y-axis, both charts present a scale with the same domain, ending in a nice round value (100). However, the number of ticks is different.
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Build Data Visualizations with React
d3-scale Documentation
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Building a Line Chart in React with VisX
Let's start small and build axes. To build axes, we need to define scales first. Under the hood VisX uses d3, so we it's really useful to review d3 scales documentation. D3 will use math to help translate our numbers to pixel locations inside the container.
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Simple bar chart with React and D3 đ
Before we render our horizontal axis, we have to remember about scales. Scales are functions that are responsible for mapping data values to visual variables. I don't want to dive too deep into this topic, but if you're interested in further reading, you can check out scales documentation. We want our x-axis to display labels from data, so for this we will use scaleBand.
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Build cool charts and visualize data with d3.js
We have used several utilities methods from d3 part of the scale module to correctly map our axis with the datas (scaleLinear, scaleBand). If you open your navigator you see now an svg element with two axis but no data yet.
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How can better diversify the colors on my heat map?
Ah, sorryâmisunderstood. Looking at your data it seems like youâre mapping the raw values to color values, and you seem to have an extreme difference between values (high standard deviation). Try something like d3-scale to normalize the values and make them closer together (to be clear: you should still display the correct values to the user, but when visualizing them, you can use a more logarithmic scale to get a better color spread).
Altair
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Ask HN: What's the best charting library for customer-facing dashboards?
I like Vega-Lite: https://vega.github.io/vega-lite/
Itâs built by folks from the same lab as D3, but designed as âa higher-level visual specification language on top of D3â [https://vega.github.io/vega/about/vega-and-d3/]
My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if you need to move to something besides Python to productionize, you can produce the same Vega-Lite definitions using the framework of your choice.
- FLaNK AI Weekly 18 March 2024
- FLaNK AI for 11 March 2024
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Vega-Altair: Declarative Visualization in Python
Feel free to open an issue to let us know which parts of the documentation you find obscure and if you have suggestions for how to improve them. We did a larger overhaul a few months back and are always open to feedback on how to improve it further! https://altair-viz.github.io/
(disclaimer: I'm a co-maintainer of Altair)
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Gnuplotlib: Non-Painful Plotting for NumPy
Vega-Altair is pretty great as well. It uses a grammar of graphics thatâs slightly different from ggplot, but has most of the same advantages.
https://altair-viz.github.io/
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Altair - Declarative statistical visualization library for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: Altair
- What python library you are using for interactive visualisation?(other than plotly)
- Libs para grĂĄficos
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If you had to pick a library from another language (Rust, JS, etc.) that isnât currently available in Python and have it instantly converted into Python for you to use, what would it be?
Yeah, that's one of the main reasons I like altair. It has 10M downloads per month and the newest Git update is from two days ago.
What are some alternatives?
visx-linechart - visx line chart example with interactive crosshair and tooltip
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
chakra-ui - âĄď¸ Simple, Modular & Accessible UI Components for your React Applications
bokeh - Interactive Data Visualization in the browser, from Python
MetBrewer - Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
seaborn - Statistical data visualization in Python
d3-scale-chromatic - Sequential, diverging and categorical color scales.
ggplot - ggplot port for python
React - The library for web and native user interfaces.
plotnine - A Grammar of Graphics for Python
d3-geo - Geographic projections, spherical shapes and spherical trigonometry.
matplotlib - matplotlib: plotting with Python