Curvenote为Jupyter笔记本中的数据科学提供的辅助库
项目描述
curvenote
Curvenote辅助库，用于在Jupyter笔记本中使用Python内核进行工作
## 安装
~$ python -m pip install curvenote
摘要
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stash在不显示数据的情况下将字典或pandas数据框保存在单元格输出中from curvenote import stash stash('myvars', myvars)
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AppState基于traitlet的类，用于帮助在ipywidgets ui中管理状态from curvenote import AppState, with_state state = AppState() # register a widget in state wave_1_amp = FloatSlider(1.0, min=0.1, max=5.0, step=0.1, description="1 - Amp") state.register_stateful_widget(wave_1_amp, "wave_1_amp", Float(1.0)) # register any trailet as a propery state.register_stateful_property("my_dict", Dict(dict(A="hello", B="world", C=1))) # observe the entire state def my_update_fn(state): some_calc_function(state.wave_1_amp, state.my_dict) state.observe(with_state(my_update_fn)) # observe a single registered widget def wave_1_observer(evt): pass state.register_widget_observer("wave_1_amp", wave_1_observer) # observe a single trait def trait_observer(evt): pass state.register_widget_observer("my_dict", trait_observer) # display state changes for debugging from IPython.display import display display(state.outlet)
下载文件
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源代码分发
curvenote-0.7.2.tar.gz (4.0 kB 查看哈希值)
构建分发
curvenote-0.7.2-py3-none-any.whl (4.3 kB 查看哈希值)
