SynoTools Python Guide for Synology NAS Automation
Learn how SynoTools can support Synology NAS automation, device connections, storage tasks, file workflows, and reliable Python scripts.
Learn Matplotlib with tutorials for plots, labels, grids, colors, figures, legends, annotations, exports, and visualization examples in Python.
Learn how SynoTools can support Synology NAS automation, device connections, storage tasks, file workflows, and reliable Python scripts.
Build a Python Trie for prefix search with nodes, insertion, lookup, autocomplete, deletion, and complexity tradeoffs.
Fix the Matplotlib legend warning by labeling plotted artists, calling legend after plotting, and combining explicit handles when needed.
Use Matplotlib twinx() and twiny() to share one axis while showing a second scale, with aligned labels, legends, limits, and readable output.
Create custom Matplotlib colormaps with ListedColormap and LinearSegmentedColormap, normalize values, and add a clear colorbar.
Create Matplotlib 2D histograms with hist2d(), choose bins and ranges, use LogNorm, add colorbars, and compare hexbin workflows.
Create a Matplotlib polar plot in Python with theta values, radial data, labels, limits, grids, and readable styling for circular data.
Use matplotlib.image.imread() to load image files, inspect shape and dtype, display RGB or grayscale data, and avoid URL and color-channel mistakes.
Change Matplotlib plot and figure backgrounds with set_facecolor(), rcParams, and savefig() while preserving readable text, legends, and output files.
Use Matplotlib GridSpec for subplot spans, width and height ratios, dashboard layouts, colorbars, spacing, and constrained layout.