2026/5/25 -Learn how to make scatter plots in Python with plt.scatter() and customize markers by size, color, shape, and transparency.
2026/5/21 -Learn to create line plots, bar charts, and scatter plots in Python with Matplotlib. Includes code examples for customizing colors, labels, and axis limits.
2026/7/7 -A heatmap in Python is a color-based chart that helps you quickly spot patterns, correlations, or outliers in a 2D dataset. You can create one using simple ...
2026/7/27 -Read data/measurements.csv and create a publication-style two-panel Matplotlib figure with an error-bar line plot and color-coded scatter plot. Export validated ...
2026/6/3 -Learn how Graph Neural Networks work, explore real-world use cases, and build a GNN in PyTorch with the Cora dataset.
2026/9/9 -You get an interactive, zoomable, color- and size-encoded chart. ... everything is configured in Python: loading the data, setting colors and sizes, choosing ...
2026/9/19 -Seaborn is a Python library for creating statistical visualizations. It provides clean default styles and color palettes, making plots more attractive and ...
2026/7/14 -In matplotlib there is no “colour by group” argument — you group the data and call ax.scatter() once per group, labelling each so ax.legend() has something to ...
2026/8/3 -This modern Python Data Science Cheat Sheet provides a practical, step-by-step guide to 50 essential commands across NumPy, Pandas, Seaborn, ...
2026/9/11 -... 0.1, 0.7, 0.3)). Continuing with our example: import numpy as np t = np.arange(0.0, 1.0, 0.01) s = np.sin(2*np.pi*t) line, = ax.plot(t, s, color='blue', lw=2.