PandasGUI
Altair
Our great sponsors
| PandasGUI | Altair | |
|---|---|---|
| 8 | 43 | |
| 3,131 | 8,912 | |
| - | 1.3% | |
| 4.3 | 9.0 | |
| 5 months ago | 16 days ago | |
| Python | Python | |
| MIT No Attribution | 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.
PandasGUI
- PandasGUI: A GUI for Pandas DataFrames
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GUI for a Dynamically Created Dataframe
This works with plotly but does a lot on its own if visualization isn’t the only thing you need, https://github.com/adamerose/PandasGUI
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Error Message Software Installation
the errors aren't exactly the same, but possible solutions on these two suggest it might be an issue with the version of qt or pyqt that was installed: https://github.com/adamerose/pandasgui/issues/56
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Low-code GUI tools for PySpark?
Similar to the several pandas low-code GUI tools such as [bamboolib](https://bamboolib.8080labs.com) or [PandasGUI](https://github.com/adamerose/PandasGUI), is there something available for PySpark?
- What's the best architecture for communication between a localhost React GUI and local Python app?
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When you've created a finalised dataframe, do any of you convert it into an excel document to help you visualise your data, or am I being inefficient in doing this?
I usually use PandasGui to view or plot DataFrames. If I do export a CSV I'm bringing it into Tabeau or JMP. Excel isn't very good for plotting.
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Plotting in R's ggplot2 vs Python's Matplotlib: Is it just me or is ggplot2 WAY smoother of an experience than Matplotlib?
I'll take this excuse to plug my open source project with a drag and drop UI for quickly making EDA graphs in Plotly https://github.com/adamerose/PandasGUI
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/
It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [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 that’s 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 gráficos
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If you had to pick a library from another language (Rust, JS, etc.) that isn’t 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?
dtale - Visualizer for pandas data structures
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
pandastable - Table analysis in Tkinter using pandas DataFrames.
bokeh - Interactive Data Visualization in the browser, from Python
seaborn - Statistical data visualization in Python
modin - Modin: Scale your Pandas workflows by changing a single line of code
ggplot - ggplot port for python
plotnine - A Grammar of Graphics for Python
koalas - Koalas: pandas API on Apache Spark
matplotlib - matplotlib: plotting with Python