在R Markdown文档中用Python代码绘制matplotlib图形 [英] Graphing matplotlib with Python code in a R Markdown document

问题描述

是否可以使用Python matplotlib代码在RStudio中绘制图形?

Is it possible to use Python matplotlib code to draw graph in RStudio?

例如下面的Python matplotlib代码:

e.g. below Python matplotlib code:

import numpy as np
import matplotlib.pyplot as plt

n = 256
X = np.linspace(-np.pi,np.pi,n,endpoint=True)
Y = np.sin(2*X)

plt.plot (X, Y+1, color='blue', alpha=1.00)
plt.plot (X, Y-1, color='blue', alpha=1.00)
plt.show()

输出图将是:

然后，我需要编写一个R Markdown来包含这些代码，并在编织完Markdown之后自动生成图形.

Then I need to write a R Markdown to include these code and generate graph automatically after knitting the markdown.

推荐答案

一种可能的解决方案是将绘图另存为图像，然后将文件加载到markdown.

One possible solution is save the plot as a image, then load the file to markdown.

### Call python code sample
```{r,engine='python'}
import numpy as np
import matplotlib.pyplot as plt

n = 256
X = np.linspace(-np.pi,np.pi,n,endpoint=True)
Y = np.sin(2*X)

fig, ax = plt.subplots( nrows=1, ncols=1 )
ax.plot (X, Y+1, color='blue', alpha=1.00)
ax.plot (X, Y-1, color='blue', alpha=1.00)
#plt.show()
fig.savefig('foo.png', bbox_inches='tight')
print "finished"
```
Output image:
![output](foo.png)

#### The End

输出:

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