altair-latimes
seaborn
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altair-latimes | seaborn | |
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2 | 76 | |
11 | 11,958 | |
- | - | |
0.0 | 8.4 | |
almost 3 years ago | 4 days ago | |
Jupyter Notebook | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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altair-latimes
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How do people package Altair themes? (II)
Based on the altair-latimes package, we have altair-reveal. In this package, we can find the Reveal theme for Altair. An interesting detail in this theme is the empty space available at the bottom of each chart (bottom padding) to accommodate manually added sources and credits. We can see this detail, as well as several examples, from this notebook directly on GitHub.
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How do people package Altair themes?
As a first example, we have the altair-latimes package. Here we can find the Los Angeles Times theme for Altair. More specifically, in addition to the theme() function that contains some constants and returns a dictionary with the configuration for the theme, there is a color dictionary (palette). This color dictionary can also be imported and used directly.
seaborn
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Apache Superset
If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful.
I see these products as tools for data visualization and reporting i.e. presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics.
I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy.
For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability.
Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/).
The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.
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Seaborn bug responsible for finding of declining disruptiveness in science
It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib).
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Why Pandas feels clunky when coming from R
While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time.
https://seaborn.pydata.org/
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Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics.
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Seaborn - Statistical data visualization using Matplotlib.
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Github: https://github.com/mwaskom/seaborn
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Seaborn Documentation
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[OC] Nationwide Public Transit Ridership is down 30% from pre-lockdown levels; San Francisco's BART ridership is down almost 70%
You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts
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Introducing seaborn-polars, a package allowing to use Polars DataFrames and LazyFrames with Seaborn
I'm sure that your package is great, but seaborn will soon support the interchange protocol and will work relatively seamlessly with polars. https://github.com/mwaskom/seaborn/pull/3340
What are some alternatives?
pcolor - visual theme for my altair and seaborn
bokeh - Interactive Data Visualization in the browser, from Python
CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up
Altair - Declarative statistical visualization library for Python
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
styles - plotting styles for altair and matplotlib
ggplot - ggplot port for python
california-coronavirus-scrapers - The open-source web scrapers that feed the Los Angeles Times California coronavirus tracker.
plotnine - A Grammar of Graphics for Python
nbdev_template - Template for nbdev projects
matplotlib - matplotlib: plotting with Python