Cartopy
Cartopy - a cartographic python library with matplotlib support (by SciTools)
cheatsheets
Official Matplotlib cheat sheets (by matplotlib)
| Cartopy | cheatsheets | |
|---|---|---|
| 9 | 126 | |
| 1,357 | 7,245 | |
| 1.0% | 0.2% | |
| 8.8 | 7.0 | |
| 7 days ago | 16 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | BSD 2-clause "Simplified" 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.
Cartopy
Posts with mentions or reviews of Cartopy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-25.
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OSCAR 2022 sea surface velocity streamplot animation
Cartopy
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Cartopy - A cartographic Python library with matplotlib support.
- How to plot latitude and longitude points on a world map, and choose what kind of projection to use? (I don't want the mercator projection)
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[OC] One year in life of ocean eddies
There is not really much to it, really. Everything is done in python, with use of standard libraries, of which probably most important in this case is cartopy https://scitools.org.uk/cartopy/docs/latest/ This is the latest cartopy tutorial I was able to find: https://www.youtube.com/watch?v=ivmd3RluMiw
- [OC] This animation shows how the amount of daylight throughout the year changes based on Latitude. Made with Python and the matplotlib library.
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Is there a good library for creating maps and altering them according to data?
Cartopy is a great lib that has a ton of utilities for those purposes. It is a little bit tricky to use at first but you can get really nice visualizations. I recommend installing it using with a conda env because its dependencies with other libraries.
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[OC] Active Covid-19 cases per Capita in USA. 1/21/2020 - 8/23/2021
- Cartopy: https://github.com/SciTools/cartopy
- Module for projecting flat earth map to full disc
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[OC] Surface wind for the first 3 months of 2005, with a 6 hours timestep
Made with: Cartopy, imageio and good 'ol Matplotlib (all Python libraries)
cheatsheets
Posts with mentions or reviews of cheatsheets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-25.
-
Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Matplotlib - A Python 2D plotting library.
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How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
Data visualization: utilizing Python's Matplotlib for visualizing order book information.
- Matplotlib
- Ask HN: What plotting tools should I invest in learning?
- Help with an array
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Getting visual studio code to work with imported library
Name: matplotlib Version: 3.7.1 Summary: Python plotting package Home-page: https://matplotlib.org Author: John D. Hunter, Michael Droettboom Author-email: [email protected] License: PSFLocation: /home/huinker/.local/lib/python3.10/site-packages
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PSA: You don't need fancy stuff to do good work.
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses without relying on expensive or proprietary software.
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What else should I complete before applying for a data analyst role?
programming language: basic python, pandas, matplotlib -- you'll probably do these in school, but if not https://cs50.harvard.edu/python/2022/ https://matplotlib.org/
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[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
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[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
What are some alternatives?
When comparing Cartopy and cheatsheets you can also consider the following projects:
folium - Python Data. Leaflet.js Maps.
finplot - Performant and effortless finance plotting for Python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
manim - A community-maintained Python framework for creating mathematical animations.
bokeh - Interactive Data Visualization in the browser, from Python
Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
seaborn - Statistical data visualization in Python
Keras - Deep Learning for humans
matplotlib - matplotlib: plotting with Python
geogebra - GeoGebra apps (mirror)