folium
Pandas
folium | Pandas | |
---|---|---|
17 | 399 | |
6,705 | 42,159 | |
1.1% | 1.0% | |
9.0 | 10.0 | |
15 days ago | 3 days ago | |
Python | Python | |
MIT License | 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.
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
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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.
Pandas
- The Birth of Parquet
- PDEP-13: The Pandas Logical Type System
- PHP Doesn't Suck Anymore
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Pandas reset_index(): How To Reset Indexes in Pandas
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method.
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap β Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
bokeh - Interactive Data Visualization in the browser, from Python
tensorflow - An Open Source Machine Learning Framework for Everyone
Leaflet - π JavaScript library for mobile-friendly interactive maps πΊπ¦
orange - π :bar_chart: :bulb: Orange: Interactive data analysis
Cartopy - Cartopy - a cartographic python library with matplotlib support
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
seaborn - Statistical data visualization in Python
Keras - Deep Learning for humans
Altair - Declarative statistical visualization library for Python
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration