Button Radio Buttons Check Buttons Matplotlib Widgets — An Interactive Jupyter Notebook I’ve created an interactive Jupyter Notebook for you to run the code discussed in this article interactively: Matplotlib Widgets Example Code Here’s the code discussed in this article for copy&paste: ...
Matplotlib is a library to produce high-quality and interactive two-dimensional plots. Matplotlib is designed to provide a plotting interface that is similar to the plot() function in MATLAB, so people switching from MATLAB should find it somewhat familiar. Although the core functions in Matplotlib...
ipyleaflet – 2D interactive maps and GIS visualization in the Jupyter Notebook. localtileserver – A Python package for serving tiles from large raster files in the Slippy Maps standard (i.e., /zoom/x/y.png) for visualization in Jupyter with ipyleaflet or folium. omfvista – PyVista inte...
matplotlib and seaborn: Data visualization ortools: Operations research and optimization for rule-based logic psycopg2: PostgreSQL database adapter for Python streamlit: Application hosting requests: Requesting URLs selenium: Scrolling and button interactions beautifulsoup4: Accessing site text Features Personal...
import matplotlib # Magic Code for Inline Display # in Jupyter Notebook (if you're using that) %matplotlib inline # Create Dataframe from tables at URL for Iowa COVID-19 Testing url = 'https://covidtracking.com/data/state/iowa/#history' ...
Scikit-learn leverages this breadth by building on top of several existing Python packages—NumPy, SciPy, and Matplotlib—for math and science work. The resulting libraries can be used for interactive “workbench” applications or embedded into other software and reused. The kit is available ...
The popularity of matplotlib rivals that of R’s highly acclaimed ggplot2, and deciding which library is better has been a hot topic for debate, for many years now. Matplotlib runs seamlessly on all Python consoles, including iPython and Jupyter notebooks, giving you all the necessary tools to...
I prefer thecommand line, but CMake also has a GUI. The GUI offers an interactive way to set cache variables. Again, make sure to install your project’s required dependencies first. To use it, runcmake-gui, fill in the source and binary folder paths, then click Configure. ...
import matplotlib # Magic Code for Inline Display # in Jupyter Notebook (if you're using that) %matplotlib inline # Create Dataframe from tables at URL for Iowa COVID-19 Testing url = 'https://covidtracking.com/data/state/iowa/#history' ...
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