prettymaps
plotly
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prettymaps | plotly | |
---|---|---|
50 | 65 | |
10,815 | 15,247 | |
- | 2.3% | |
0.0 | 9.4 | |
6 months ago | 7 days ago | |
Jupyter Notebook | Python | |
GNU Affero General Public License v3.0 | MIT License |
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.
prettymaps
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Show HN: Map2Image – Download Beautiful City Maps
These maps look great! Reminds me of a project I saw a long time ago [1]. Glad you made this downloadable for everyone who cannot write code.
P.S.: Now, I also have some (birthday) presents ;-)
[1] https://github.com/marceloprates/prettymaps
- A small set of Python functions to draw pretty maps from OpenStreetMap data
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Riddle me this: "Huku ni wapi?"
You can generate them yourself from Open Street Maps. Use this Google Colab. Source - prettymaps.
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Used Python to draw this map of Motijheel, Dhaka, Bangladesh.
Check out this repo
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Shapefiles for planet? Geofabrik only seems to have shapefiles for Antartica.
Check out Pretty Maps, or the online version, and /r/prettymaps_
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Geovisualization test with OSM map data and matplotib for styling
Great work! I love osmnx, it's such a nice library. I remember using it at school to work out distance from fire stations across my city. There's this nice library that uses it called prettymaps, I've been meaning to take some time with it to do some sweet posters.
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This Week In Python
prettymaps – A small set of Python functions to draw pretty maps from OpenStreetMap data
- prettymaps v1.0.0 released
- prettymaps 1.0.0 released
- Prettymaps: A minimal Python library to draw customized maps from OpenStreetMap
plotly
- Yes, Python and Matplotlib can make pretty charts
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/plotly/plotly.py
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How to Create a Pareto Chart 📐
First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.
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For all you computational people: What’s your favorite plotting software?
my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.
- What does Power BI offer?
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Other programing options?
Plotly documentation (https://plotly.com/python/)
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Advice on upgrading my Presentation template
I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.
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[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
Plotly GitHub repository: https://github.com/plotly/plotly.py
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Could you recommend some graphing GitHub Repo. for JupyterLab?
I'm using plotly.py now. This is why I love this community.
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Anyone else feel ‘trapped’ in power bi?
Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.
What are some alternatives?
vsketch - Generative plotter art environment for Python
Altair - Declarative statistical visualization library for Python
awesome-vector-tiles - Awesome implementations of the Mapbox Vector Tile specification
bokeh - Interactive Data Visualization in the browser, from Python
abstreet - Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit
matplotlib - matplotlib: plotting with Python
Openstreetmap - The Rails application that powers OpenStreetMap
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
owid-grapher - A platform for creating interactive data visualizations
folium - Python Data. Leaflet.js Maps.
vpype - The Swiss-Army-knife command-line tool for plotter vector graphics.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]