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plotly-resampler reviews and mentions
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downsampling 500M datapoints in < 0.05s
Just checked the performance against the numpy min-max downsampler (used the MinMaxAggregator from here)
We plan to integrate this in our (already quite scalable) time series visualization library https://github.com/predict-idlab/plotly-resampler - should further increase the scalability by a factor 10 :)
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Making large line-charts (visualizations) scalable with plotly-resampler
How can you use plotly-resampler? You can install it from pypi: https://pypi.org/project/plotly-resampler/ Check our usage info, examples, and documentation on how you can add dynamic aggregation to your plotly Figure(s) with just 1 line of code!
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What's your favorite data visualization tool for Python and why ?
For large sequences (scatter plots) Plotly Resampler enables to visualize tons of datapoints (through adaptive resampling).
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[P] Visualize millions of datapoints using plotly with 1 line of code
Github repo
We also added an issue about looking into anti-aliasing downsamplers https://github.com/predict-idlab/plotly-resampler/issues/7
You can find the dependencies in this file; https://github.com/predict-idlab/plotly-resampler/blob/main/pyproject.toml
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A note from our sponsor - Sonar
www.sonarsource.com | 29 Mar 2023
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predict-idlab/plotly-resampler is an open source project licensed under MIT License which is an OSI approved license.