我试图在MacOS X上使用IPython笔记本，使用Python 2.7.2和IPython 1.1.0。
我无法让matplotlib图形内联显示。
import matplotlib
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
我还尝试了%pylab inline和ipython命令行参数——pylab=inline，但这没有什么区别。
x = np.linspace(0, 3*np.pi, 500)
plt.plot(x, np.sin(x**2))
plt.title('A simple chirp')
plt.show()
而不是内联图形，我得到这个:
<matplotlib.figure.Figure at 0x110b9c450>
matplotlib.get_backend()显示我有'模块://IPython.kernel.zmq.pylab。backend_inline的后端。
当前回答
当我在Jupyter的独立单元中运行绘图命令时，我也遇到了同样的问题:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
<Figure size 432x288 with 0 Axes> #this might be the problem
In [4]: ax = fig.add_subplot(1, 1, 1)
In [5]: ax.scatter(x, y)
Out[5]: <matplotlib.collections.PathCollection at 0x12341234> # CAN'T SEE ANY PLOT :(
In [6]: plt.show() # STILL CAN'T SEE IT :(
通过将绘图命令合并到一个单元格中，问题得到了解决:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.scatter(x, y)
Out[3]: <matplotlib.collections.PathCollection at 0x12341234>
# AND HERE APPEARS THE PLOT AS DESIRED :)
其他回答
我找到了一个相当令人满意的变通办法。我安装了Anaconda Python，现在可以为我开箱即用了。
使用%pylab内联magic命令。
当我在Jupyter的独立单元中运行绘图命令时，我也遇到了同样的问题:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
<Figure size 432x288 with 0 Axes> #this might be the problem
In [4]: ax = fig.add_subplot(1, 1, 1)
In [5]: ax.scatter(x, y)
Out[5]: <matplotlib.collections.PathCollection at 0x12341234> # CAN'T SEE ANY PLOT :(
In [6]: plt.show() # STILL CAN'T SEE IT :(
通过将绘图命令合并到一个单元格中，问题得到了解决:
In [1]: %matplotlib inline
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
In [2]: x = np.array([1, 3, 4])
y = np.array([1, 5, 3])
In [3]: fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.scatter(x, y)
Out[3]: <matplotlib.collections.PathCollection at 0x12341234>
# AND HERE APPEARS THE PLOT AS DESIRED :)
Ctrl + Enter
%matplotlib inline
魔线:D
参见:用Matplotlib绘图。
如果您的matplotlib版本高于1.4，也可以使用它
IPython 3。X及以上
%matplotlib notebook
import matplotlib.pyplot as plt
旧版本
%matplotlib nbagg
import matplotlib.pyplot as plt
两者都将激活nbagg后端，从而支持交互性。
