folium
Python Data. Leaflet.js Maps. (by python-visualization)
matplotlib
matplotlib: plotting with Python (by matplotlib)
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folium | matplotlib | |
---|---|---|
17 | 36 | |
6,678 | 19,262 | |
1.1% | 1.9% | |
9.0 | 10.0 | |
6 days ago | 3 days ago | |
Python | Python | |
MIT License | Python License 2.0 |
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.
folium
Posts with mentions or reviews of folium.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-25.
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Folium Help
A good thing to try would be to look over the folium documentation on their GitHub Page, Folium. For help with code you could ask ChatGPT to explain what you're interested in using their docs.
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Framework suggestions for Map based application
I currently utilize Folium for a work project but would like to move it out of Folium into something that supports API requests for real-time data and vector tiles instead of raster.
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2d map visualization library for JS
If you know Python you can use Folium produce Leaflet maps without using Javascript. I'm not sure if the updating functionality you require is possible, but could be worth a look.
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Live update maps
Try Folium, here are some examples.
- How to access a class in DOM object of a map
- Free guides to learn Python for GIS?
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Geohistograms in Python
For our visualizations we will be using Folium. This is a description from the authors:
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Placing a Voronoi diagram over a streetmap (using Python)?
I'm mapping some election results, and trying to create a diagrammatic representation of who voted for whom, and where. I'm using Python, and I can create a perfectly respectable initial map (without Voronoi diagrams) using its folium package, with OpenStreetMap tiles. See https://numbersandshapes.net/posts/post_election_swings/.
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creating a script that displays live GPS telem data on map?
Look in the folium package. https://python-visualization.github.io/folium/
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A More Interactive Folium choropleth
Choropleth maps are a quick and easy way to visualize a numeric variable geographically. I love the ease and interactivity of most functions from the folium module, but the choropleth method lacks interactivity and clarity in the legend.
matplotlib
Posts with mentions or reviews of matplotlib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-07.
- How and where is matplotlib package making use of PySide?
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/matplotlib/matplotlib
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Tkinter, PyGame windows too large on Mac
as suggested here.
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[OC] Attempted & Completed Suicide Rate in Canada, 1998/99
Tool: Matplotlib Pyplot
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Help unpickling an old dataset
The issue was described here: https://github.com/matplotlib/matplotlib/issues/8409, but the "solution" was just "this is fixed" which was not helpful to me.
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The Python Packages That Gave Me Nightmares: A Guide to Overcoming Common Challenges
Matplotlib: Matplotlib is a 2D plotting library that allows you to create visualizations of your data. It's a powerful tool for data analysis, but the syntax can be complex and the customization options can be overwhelming. GitHub - https://github.com/matplotlib/matplotlib
- pcolormesh very slow when using "log" axes
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Question: What is matplotlib short for?
A quick google shows: this history.txt:
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Linear Regression
Let's take a small subset i.e 20 data points of our prediction and compare it with actual output using matplotlib library
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Where to find a dynamic charge density animation/simulation?
I will think more about what I want to say next, but for now, I would like to say that I need the super-particles and PIC methods as I think that is the way forward for me. Are there ways to implement these methods in matplotlib, Visit or Paraview? Do I take existing code and import it into those programs to visualize it? Or can I directly program/simulate something in those visualizion tools without needing to import any code?
What are some alternatives?
When comparing folium and matplotlib you can also consider the following projects:
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
bokeh - Interactive Data Visualization in the browser, from Python
Leaflet - π JavaScript library for mobile-friendly interactive maps πΊπ¦
pygal - PYthon svg GrAph plotting Library
Cartopy - Cartopy - a cartographic python library with matplotlib support
bqplot - Plotting library for IPython/Jupyter notebooks
seaborn - Statistical data visualization in Python
Altair - Declarative statistical visualization library for Python
plotnine - A Grammar of Graphics for Python