363 skills found · Page 1 of 13
StructuredLabs / PreswaldPreswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide, DuckDB, Pandas, and Plotly, Matplotlib, etc. Build dashboards, reports, and notebooks that run offline, load fast, and share like a document.
widgetti / Ipyvolume3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
JetBrains / Lets PlotMultiplatform plotting library based on the Grammar of Graphics
moshi4 / PyCirclizeCircular visualization in Python (Circos Plot, Chord Diagram, Radar Chart)
JackMcKew / Pandas AliveCreate stunning, animated visualisations with Pandas & Matplotlib as easy as calling `df.plot_animated()`
wcipriano / Pretty Print Confusion MatrixConfusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
karolzak / IpyplotIPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.
mljar / PlotaiPlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.
juba / PyobsplotObservable Plot in Python
econpy / Google NgramsPython scripts for retrieving CSV data from the Google Ngram Viewer and plotting it in XKCD style. The Python script for retrieving ngram data was originally modified from the script at www.culturomics.org.
tpvasconcelos / RidgeplotBeautiful ridgeline plots in Python
milaan9 / 12 Python Seaborn ModuleSeaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
milaan9 / 11 Python Matplotlib ModuleMatplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc
murtazayusuf / OrderflowChartPlot orderflow footprint charts using plotly in python.
swcarpentry / Python Novice GapminderPlotting and Programming in Python
cmbant / GetdistMCMC sample analysis, kernel densities, plotting, and GUI
aplpy / AplpyAstronomical Plotting Library in Python
ibaiGorordo / AWR1843 Read Data Python MMWAVE SDK 3 Python program to read and plot the data in real time from the AWR1843 mmWave radar board (MMWAVE SDK 3)
HamsterHuey / EasyplotEasy Plot - A thin matplotlib wrapper for generating fast, easy and reusable plots in Python
interactivereport / Cellxgene VIPEnables cellxgene to generate violin, stacked violin, stacked bar, heatmap, volcano, embedding, dot, track, density, 2D density, sankey and dual-gene plot in high-resolution SVG/PNG format. It also performs differential gene expression analysis and provides a Command Line Interface (CLI) for advanced users to perform analysis using python and R.
