gio*_*ans 2 python matplotlib python-interactive ipython-notebook
我正在使用iPython笔记本来测试交互功能.几个月前,以下示例(从这里开始)对我来说很好.但是,如果我现在运行它,它会绘制可能组合的所有图像.我不知道这是否是重复的,但这个并没有帮助.
%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, 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']))
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这是输出:
你能帮助我吗?
cel*_*cel 10
这就是你如何接近它.
%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)
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