Flask JSONDash
ggplot
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| Flask JSONDash | ggplot | |
|---|---|---|
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ggplot
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Best tools for good looking tables and piecharts
Seaborn is based on matplotlib and quite modern. Coming from R and used to ggplot (which is also available in python) I really like it.
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Which Python visualization module to use for research-quality graphs?
If you're familiar with R, there's always ggplot.
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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'd agree in that it's a well-specified language for defining graphics; it's not very good with rendering performance. There are packages which try to achieve similar goals in Python as well (ggplot / ggpy) and packages like Seaborn. Though, like you, I use R for lots of EDA. Hard to beat data.table and R graphics for speed and expressiveness. I prefer base graphics though; ggplot2 tends to render too slowly for any data sets I work with.
What are some alternatives?
Altair - Declarative statistical visualization library for Python
seaborn - Statistical data visualization in Python
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
matplotlib - matplotlib: plotting with Python
plotnine - A Grammar of Graphics for Python
VisPy - Main repository for Vispy
bokeh - Interactive Data Visualization in the browser, from Python
SnakeViz - An in-browser Python profile viewer
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!