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 -If we want to distinguish which line represents which column, we can add a legend. This will create a color-coded label in the corner of the graph. We can do ...
2026/8/10 -Matplotlib's legend() function supports parameters specifically for text sizing and titles: title : Adds a text header at the top of the legend box.
2026/5/20 -Matplotlib allows you to create multiple plots within a single figure using subplots, which is crucial for comparing different visualizations. Example ...
2026/10/15 -Free Matplotlib cheat sheet for Matplotlib 3.11: figure and axes, every common plot type, labels, legends, ticks, subplots, styles and saving charts.
2026/7/26 -Create interactive scatter plots in Python with xy. Explore relationships, clusters, and outliers across millions of points with pan, zoom, and hover.
2026/9/11 -Please make sure you are using uv 0.8.7 or newer (update with e.g. uv self update) and that your bundled Python installs are up to date (with uv python upgrade ...
2026/9/19 -Scatter Plot. Scatter plots are used to observe relationships between variables. The scatter() method in the matplotlib library is used to draw a scatter plot.
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 ...
2026/9/22 -Marker examples · Scatter Symbol · Scatter plots with a legend · Simple Plot · Using span_where · Spectrum Representations · Stackplots and streamgraphs ...