Results for “ma-plot”
19 skills
jorcan Seaborn
Create publication-quality statistical graphics in Python with dataset-oriented plotting, semantic mapping, and automatic statistical estimation.
0 · bundle
antigravity Matplotlib
Create static, animated, and interactive plots using Python's foundational visualization library, with guidance on both pyplot and object-oriented APIs.
42.4k
phoroth Seaborn
Create publication-quality statistical graphics directly from tabular datasets, covering relational, distribution, categorical, regression, and matrix plots with minimal code.
3
k-dense-ai Matplotlib
Create publication-quality static, animated, and interactive plots with fine-grained control over every element using Matplotlib's pyplot and object-oriented APIs.
30.2k · bundle
lingxling Seaborn
Create publication-quality statistical graphics in Python with seaborn, covering relational, distribution, and categorical plots with pandas integration.
253 · bundle
k-dense-ai Seaborn
Create publication-quality statistical graphics with dataset-oriented plotting, multivariate analysis, and automatic statistical estimation using minimal code.
30.2k · bundle
More results
nimoqup046-collab Seaborn
Create publication-quality statistical graphics in Python with dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and multi-panel figures.
2
ecnu-icalk Matlab
在MATLAB绘制的直方图上叠加标记局部峰值，不显示文本标签，并支持自定义标记样式（如蓝色实心倒三角）。
559
leandrobenjaminl Data Visualization
Crea gráficos profesionales con Matplotlib, Seaborn y Plotly, desde exploración rápida hasta visualizaciones publicables, eligiendo el tipo de gráfico adecuado para cada historia de datos.
0 · bundle
qhjqhj00 Matplotlib
Create publication-quality static, animated, and interactive plots with fine-grained control over every element, from basic charts to multi-panel figures, with export to PNG, PDF, and SVG.
3 · bundle
k-dense-ai Scientific Visualization
Create publication-ready scientific figures with multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and journal-specific formatting using matplotlib, seaborn, and plotly.
30.2k · bundle
k-dense-ai Umap Learn
Perform nonlinear dimensionality reduction, 2D/3D embeddings, clustering preprocessing, supervised or semi-supervised UMAP, DensMAP, AlignedUMAP, and Parametric UMAP workflows using the umap-learn library.
30.2k · bundle
antigravity Plotly
Create interactive, publication-quality visualizations with 40+ chart types, including scatter, bar, line, 3D, maps, and financial charts, with support for hover, zoom, pan, subplots, and export to HTML or static images.
42.4k
luokai0 Data Viz
Create terminal-based charts and visualizations from CSV, JSON, or piped data using tools like YouPlot, Termgraph, Gnuplot, and more.
10 · bundle
qhjqhj00 Seaborn
Create publication-quality statistical graphics in Python with dataset-oriented plotting, semantic mapping, and built-in statistical estimation.
3 · bundle
tradermonty Downtrend Duration Analyzer
Analyze historical downtrend durations and generate interactive HTML histograms showing typical correction lengths by sector and market cap.
2.3k · bundle
lucaspmarie-a11y Seaborn
Create publication-quality statistical graphics using Seaborn, with dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures.
5
gabrielmoreira Proteomics De
Performs differential expression analysis on label-free quantitative (LFQ) proteomics data from MaxQuant and DIA-NN outputs, including preprocessing, imputation, statistical testing, and visualization.
17 · bundle
oyi77 Analysis
Cleans datasets, detects anomalies, generates reports, and creates visualizations using pandas, scikit-learn, and plotting libraries to turn raw data into client-ready deliverables.
10