the lttbc dependency is removed; and we added our own (faster) lttb C implementation. Additionally we provide a Python fallback when this lttb-C building fails. In the near future, we will look into CIBuildWheels to build the wheels for the major OS & Python matrix versions.
A well deserved s/o to dgoeris/lttbc, who heavily inspired our implementation!
Plotly-resampler now also has the option to store the output figure as an Image in notebook output. As long the notebook is connected, the interactive plotly-resampler figure is shown; but once the figure / notebook isn't connected anymore, a static image will be rendered in the notebook output.
- 🐛 return self when calling add_traces by @jvdd in predict-idlab#75
- 🔥 add streamlit integration example by @jvdd in predict-idlab#80
- ✨ adding
convert_traces_kwargsby @jonasvdd in predict-idlab#81 - Fix numeric
hf_yinput as dtype object by @jonasvdd in predict-idlab#90 - 🔥 add support for figure dict input + propagate _grid_str by @jvdd in predict-idlab#92
- 🙏 fix tests for all OS by @jvdd in predict-idlab#95
- Add python3dot10 by @jvdd in predict-idlab#96
- 🌅 FigureResampler display improvements by @jvdd in predict-idlab#97
- 📦 serialization support + 🎚️ update OS & python version in test-matrix by @jvdd in predict-idlab#87
- Lttbv2 🍒 ⛏️ branch by @jonasvdd in predict-idlab#103
- 🤖 hack together output retention in notebooks by @jvdd in predict-idlab#105
- 📦 improve docs by @jvdd in predict-idlab#104
& some other minor bug fixes 🙈
Full Changelog: https://github.com/predict-idlab/plotly-resampler/compare/v0.7.0...v0.8.0
You can register plotly_resampler; this adds dynamic resampling functionality under the hood to plotly.py! 🥳 As a result, you can stop wrapping plotly figures with a plotly-resampler decorator (as this all happens automatically)
You only need to call the
register_plotly_resamplermethod and all plotly figures will be wrapped (under the hood) according to that method's configuration.
-> More info in the README and docs!
Aditionally, all resampler Figures are now composable; implying that they can be decorated by themselves and all other types of plotly-(resampler) figures. This eases the switching from a FigureResampler to FigureWidgetResampler and vice-versa.
- 🦌 Adding reset-axes functionality by @jonasvdd in predict-idlab#48
- 🐛 Small bugfixes by @jonasvdd in predict-idlab#52
- 🔍 investigating gap-detection methodology by @jonasvdd in predict-idlab#53
- 🔍 fix float index problem of #63 by @jonasvdd in predict-idlab#64
- 🔧 hotfix for rounding error by @jonasvdd in predict-idlab#66
- 🗳️ Compose figs by @jonasvdd in predict-idlab#72
- ✨ register plotly-resampler by @jvdd in predict-idlab#70
- 🤖 update dependencies + new release by @jvdd in predict-idlab#74
Full Changelog: https://github.com/predict-idlab/plotly-resampler/compare/v0.6.0...v0.7.0