rho_plus
The Python data viz nitro canister you didn't know you needed (by nicholas-miklaucic)
joypy
Joyplots in Python with matplotlib & pandas :chart_with_upwards_trend: (by leotac)
rho_plus | joypy | |
---|---|---|
1 | 3 | |
1 | 526 | |
- | - | |
6.1 | 0.0 | |
5 months ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
rho_plus
Posts with mentions or reviews of rho_plus.
We have used some of these posts to build our list of alternatives
and similar projects.
-
What's the "real" distribution of offensive vs. defensive plus/minus stats?
It's a custom theme for matplotlib I maintain here. You can do pip install rho_plus and then
joypy
Posts with mentions or reviews of joypy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-03.
-
Distribution of speeds by teams ranked by max speed(Green dots) at long straight Speed Trap during the SpanishGP Race.
Use joypy package - https://github.com/leotac/joypy
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[OC] Herb Jones takes on the second most difficult defensive matchups in the NBA. On average his man has a season average usage rating of 22.7 trailing only Dort at 23.1
Python with this library I found: https://github.com/leotac/joypy
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[OC] Vaccination Rollout by Age, Belgium, Ridgeline Plot
After that you could look at the documentation and change what you need to fit your data: https://github.com/leotac/joypy/blob/master/Joyplot.ipynb
What are some alternatives?
When comparing rho_plus and joypy you can also consider the following projects:
walmart-stores-coffee-analysis - Walmart Coffee Exploratory Data Analysis. Data Extracted with SerpApi 🧡
adjustText - A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
nbplot - Command-line utility to quickly plot files in a Jupyter notebook.
Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
PtitPrince - python version of raincloud
benford_py - Python implementation of Benford's Law tests.
visualizingRuntimes - Use code to visualize and determine runtime complexities for different algorithms.