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Date Conversion Behavior Matplotlib utilizes internal float representations for dates on axes. A significant change occurred in version 3.1, where the reference epoch shifted from 0001-01-01 to 1970-01-01. This shift affects how matplotlib.dates.date2num and num2date interpret raw float values. Compatibility Constraints When migrating legacy data or using pi
Integration Boundary: React State to Plotly.js Engine When utilizing the react-plotly.js wrapper, the library maps React props to the underlying Plotly.js engine. To maintain performance and user experience, the wrapper utilizes Plotly.react to update the plot without recreating the DOM element, which is intended to preserve the current zoom and pan state du
When rendering datasets with millions of points in Matplotlib (version 3.0+), the primary constraint is balancing render speed and final file size against the preservation of visual fidelity. Two documented strategies exist to bound the rendering cost for vector backends like PDF or SVG. Data Reduction Downsampling via array slicing (e.g., x[::k] ) or binnin
Chart.js utilizes a reference-based system to manage datasets, where modifications to the data array are committed to the HTML5 Canvas via the update() method. To optimize performance, the library employs a requestAnimationFrame loop to batch these changes before the next render cycle. A design uncertainty arises when the update() method is invoked while a p
python
matplotlib
plotly
javascript
chartjs