在Jupyter Notebook中将ipywidgets与plotly一起使用 [英] Using ipywidgets with plotly in jupyter notebook
问题描述
我想在jupyter笔记本中使用plotly的离线绘图,并想通过使用来自ipywidgets的小部件来操纵或重绘该绘图. 不幸的是,我无法适当地更新地块:
I want to use the offline plotting of plotly inside a jupyter notebook and want to manipulate or redraw the plot by using widgets from ipywidgets. Unfortunately I do not manage to update the plots appropiately:
from ipywidgets import widgets, HBox, Output
import plotly as py
from plotly.offline import iplot
from IPython.display import display
%matplotlib inline
ip_widget = widgets.FloatSlider(
value=6,
min=3,
max=10,
step=1,
description='num',
continuous_update = True
)
ow = Output()
def response(change):
with ow:
iplot([{'x':list(range(int(ip_widget.value))), 'y': list(range(int(ip_widget.value)))}])
ip_widget.observe(response)
display(ip_widget)
提供的代码有两个缺点: 它多次绘制图形. 如果使用了滑块,则仅显示图形. 我该如何克服这两个问题?请注意,我不想使用plotly的在线绘图功能,也不想使用交互来解决此问题.
The provided code has two disadvantages: It plots the graph multiple times. The graph only shows up, if the slider is used. How can I overcome these two issues? Please note that I don't want to use the online plotting capabilities of plotly and I don't want to solve this problem using interact.
非常感谢您的回答.
推荐答案
您是否尝试过使用interact
?这是一个非常清楚的示例:
http://nbviewer.jupyter.org/github/yankev/test/blob/master/plotlywidget_working2.ipynb
Have you tried using interact
? Here is a very clear example:
http://nbviewer.jupyter.org/github/yankev/test/blob/master/plotlywidget_working2.ipynb
顺便说一句,interact
函数位于ipywidgets
中(不再是IPython.html.widgets
).除此之外,该示例是最新的.
By the way, the interact
function lives in ipywidgets
(and not IPython.html.widgets
anymore). Other than that, the example is pretty much up-to-date.
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