Python ipywidgets静态交互打印所有图像组合
我正在使用iPython笔记本测试交互功能。几个月前,下面的例子对我来说还不错。但是,如果我现在运行它,它将从可能的组合中绘制所有图像。我不确定这是否是重复的,但没有帮助Python ipywidgets静态交互打印所有图像组合,python,matplotlib,ipython-notebook,python-interactive,Python,Matplotlib,Ipython Notebook,Python Interactive,我正在使用iPython笔记本测试交互功能。几个月前,下面的例子对我来说还不错。但是,如果我现在运行它,它将从可能的组合中绘制所有图像。我不确定这是否是重复的,但没有帮助 %matplotlib inline import numpy as np import matplotlib.pyplot as plt import matplotlib as mpl # mpl.rcParams['figure.max_open_warning'] = 1 def plot(amplitude,
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
# mpl.rcParams['figure.max_open_warning'] = 1
def plot(amplitude, color):
fig, ax = plt.subplots(figsize=(4, 3),
subplot_kw={'axisbg':'#EEEEEE',
'axisbelow':True})
ax.grid(color='w', linewidth=2, linestyle='solid')
x = np.linspace(0, 10, 1000)
ax.plot(x, amplitude * np.sin(x), color=color,
lw=5, alpha=0.4)
ax.set_xlim(0, 10)
ax.set_ylim(-1.1, 1.1)
return fig
from ipywidgets import StaticInteract, RangeWidget, RadioWidget
StaticInteract(plot,
amplitude=RangeWidget(0.1, 1.0, 0.1),
color=RadioWidget(['blue', 'green', 'red']))
这是输出:
你能帮我吗?这是你的方法
%matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from ipywidgets import interact, FloatSlider, RadioButtons
amplitude_slider = FloatSlider(min=0.1, max=1.0, step=0.1, value=0.2)
color_buttons = RadioButtons(options=['blue', 'green', 'red'])
# decorate the plot function with an environment from the UIs:
@interact(amplitude=amplitude_slider, color=color_buttons)
def plot(amplitude, color):
fig, ax = plt.subplots(figsize=(4, 3),
subplot_kw={'axisbg':'#EEEEEE',
'axisbelow':True})
ax.grid(color='w', linewidth=2, linestyle='solid')
x = np.linspace(0, 10, 1000)
ax.plot(x, amplitude * np.sin(x), color=color,
lw=5, alpha=0.4)
ax.set_xlim(0, 10)
ax.set_ylim(-1.1, 1.1)
看起来你获得了+1。我使用的是较旧的版本。我用ipywidgets 6.0尝试了这两种版本,但这对我来说仍然是个问题。