vsketch
seaborn
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vsketch | seaborn | |
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11 | 76 | |
471 | 11,836 | |
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7.4 | 8.5 | |
11 days ago | 11 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
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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.
vsketch
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I used Python to control a custom stop-motion animation drawing machine
The frames' vector data is generated using a sketch made with my vsketch framework (it involves loading GeoJSON data, processing it with Shapely, and projecting it in 3D with NumPy).
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Self Portrait using Pix2Pix and vPype
There isn't a GUI, but that's by design. The CLI format facilitates the integration in automated workflows. The show command does provide a viewer for visualisation at any point in the pipeline. Also, I have another framework (based on vpype) named vsketch which is a plotter-centric python clone of Processing with a viewer and live refresh.
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Chrysalide
Matplotlib for plotter stuff seems tedious indeed ! Definitly check out vsketch, it has an API similar to processing, but focused on generating plotter-ready SVG.
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Problem with installing Pretty Maps
pip install git+https://github.com/abey79/vsketch#egg=vsketchDefaulting to user installation because normal site-packages is not writeableCollecting vsketch Cloning https://github.com/abey79/vsketch to /tmp/pip-install-z2f8qeqh/vsketch_476eb7b32e4a43e9ae29175d979f1267 Running command git clone --filter=blob:none -q https://github.com/abey79/vsketch /tmp/pip-install-z2f8qeqh/vsketch_476eb7b32e4a43e9ae29175d979f1267 Resolved https://github.com/abey79/vsketch to commit 1f28fa8fa491a574d04cbe80ae82f61e3b3d17fb Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... doneCollecting vpype[all]@ git+https://github.com/abey79/vpype@e8aab428b6790de03e36cd51aa30ca0612a38d87 Cloning https://github.com/abey79/vpype (to revision e8aab428b6790de03e36cd51aa30ca0612a38d87) to /tmp/pip-install-z2f8qeqh/vpype_529e4b4779de41eb909706b17c4bafe5 Running command git clone --filter=blob:none -q https://github.com/abey79/vpype /tmp/pip-install-z2f8qeqh/vpype_529e4b4779de41eb909706b17c4bafe5 Running command git rev-parse -q --verify 'sha^e8aab428b6790de03e36cd51aa30ca0612a38d87' Running command git fetch -q https://github.com/abey79/vpype e8aab428b6790de03e36cd51aa30ca0612a38d87 Resolved https://github.com/abey79/vpype to commit e8aab428b6790de03e36cd51aa30ca0612a38d87 Installing build dependencies ... done Getting requirements to build wheel ... done Preparing metadata (pyproject.toml) ... doneRequirement already satisfied: Shapely[vectorized]<2.0.0,>=1.7.1 in ./.local/lib/python3.10/site-packages (from vsketch) (1.8.0)Collecting bezier>=2021.2.12 Using cached bezier-2021.2.12.tar.gz (313 kB) Preparing metadata (setup.py) ... error ERROR: Command errored out with exit status 1: command: /usr/bin/python -c 'import io, os, sys, setuptools, tokenize; sys.argv[0] = '"'"'/tmp/pip-install-z2f8qeqh/bezier_a73eda2d953941fea05d9db7413b7234/setup.py'"'"'; __file__='"'"'/tmp/pip-install-z2f8qeqh/bezier_a73eda2d953941fea05d9db7413b7234/setup.py'"'"';f = getattr(tokenize, '"'"'open'"'"', open)(__file__) if os.path.exists(__file__) else io.StringIO('"'"'from setuptools import setup; setup()'"'"');code = f.read().replace('"'"'\r\n'"'"', '"'"'\n'"'"');f.close();exec(compile(code, __file__, '"'"'exec'"'"'))' egg_info --egg-base /tmp/pip-pip-egg-info-t3gbjrvl cwd: /tmp/pip-install-z2f8qeqh/bezier_a73eda2d953941fea05d9db7413b7234/ Complete output (1 lines): The BEZIER_INSTALL_PREFIX environment variable must be set. ----------------------------------------WARNING: Discarding https://files.pythonhosted.org/packages/cb/e8/0073ac3f92cbe8ced10e5e5822594a8f63b9a3dc91258c681b7ee96b80b0/bezier-2021.2.12.tar.gz#sha256=d0f752aeb420057ab761f962259c7ca00d925750e324c9bb729f2f10ad39529a (from https://pypi.org/simple/bezier/). Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.ERROR: Could not find a version that satisfies the requirement bezier>=2021.2.12 (from vsketch) (from versions: 0.0.1, 0.1.0, 0.1.1, 0.2.0, 0.2.1, 0.3.0, 0.4.0, 0.5.0, 0.6.0, 0.6.1, 0.6.2, 0.6.3, 0.6.4, 0.7.0, 0.8.0, 0.9.0, 0.10.0, 0.11.0, 2020.1.14, 2020.2.3, 2020.5.19, 2021.2.12)ERROR: No matching distribution found for bezier>=2021.2.12
- Cats
- WARNING: pip is being invoked by an old script wrapper.
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prettymaps: A small set of Python functions to draw pretty maps from OpenStreetMap data
FROM jupyter/scipy-notebook:33add21fab64 COPY --chown=${NB_UID}:${NB_GID} requirements.txt /tmp/ RUN python -m pip install --upgrade pip RUN pip install --quiet --no-cache-dir git+https://github.com/abey79/vsketch#egg=vsketch RUN pip install --quiet --no-cache-dir git+https://github.com/marceloprates/prettymaps.git RUN fix-permissions "${CONDA_DIR}" && fix-permissions "/home/${NB_USER}" ENTRYPOINT ["jupyter", "lab", "--ip=0.0.0.0", "--allow-root"]
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Prettymaps: Small Python library to draw customized maps from OpenStreetMap data
pip install git+https://github.com/abey79/vsketch#egg=vsketch
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).
The seaborn bug linked in the paper: “Treat binwidth as approximate to avoid dropping outermost datapoints” (https://github.com/mwaskom/seaborn/pull/3489)
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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.
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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?
bokeh - Interactive Data Visualization in the browser, from Python
Altair - Declarative statistical visualization library for Python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
ggplot - ggplot port for python
plotnine - A Grammar of Graphics for Python
matplotlib - matplotlib: plotting with Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
folium - Python Data. Leaflet.js Maps.
pygal - PYthon svg GrAph plotting Library
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
bqplot - Plotting library for IPython/Jupyter notebooks
Cartopy - Cartopy - a cartographic python library with matplotlib support