在 NetworkX 中无法将图形保存为 jpg 或 png 文件
问题描述
我在 NetworkX 中有一个包含一些信息的图表.图表显示后,我想将其保存为 jpg
或 png
文件.我使用了 matplotlib
函数 savefig
但是当图像被保存时,它不包含任何东西.它只是一个白色的图像.
I have a graph in NetworkX containing some info. After the graph is shown, I want to save it as jpg
or png
file. I used the matplotlib
function savefig
but when the image is saved, it does not contain anything. It is just a white image.
这是我写的示例代码:
import networkx as nx
import matplotlib.pyplot as plt
fig = plt.figure(figsize=(12,12))
ax = plt.subplot(111)
ax.set_title('Graph - Shapes', fontsize=10)
G = nx.DiGraph()
G.add_node('shape1', level=1)
G.add_node('shape2', level=2)
G.add_node('shape3', level=2)
G.add_node('shape4', level=3)
G.add_edge('shape1', 'shape2')
G.add_edge('shape1', 'shape3')
G.add_edge('shape3', 'shape4')
pos = nx.spring_layout(G)
nx.draw(G, pos, node_size=1500, node_color='yellow', font_size=8, font_weight='bold')
plt.tight_layout()
plt.show()
plt.savefig("Graph.png", format="PNG")
为什么保存的图片里面没有任何东西(只有白色)?
Why is the image saved without anything inside (just white) ?
这是保存的图像(只是空白):
This is the image saved (just blank):
解决方案
与plt.show
方法有关.
show
方法的帮助:
def show(*args, **kw):
"""
Display a figure.
When running in ipython with its pylab mode, display all
figures and return to the ipython prompt.
In non-interactive mode, display all figures and block until
the figures have been closed; in interactive mode it has no
effect unless figures were created prior to a change from
non-interactive to interactive mode (not recommended). In
that case it displays the figures but does not block.
A single experimental keyword argument, *block*, may be
set to True or False to override the blocking behavior
described above.
"""
当您在脚本中调用 plt.show()
时,似乎文件对象仍处于打开状态,而 plt.savefig
写入方法无法读取那个流完全.但是 plt.show
有一个 block
选项可以改变这种行为,所以你可以使用它:
When you call plt.show()
in your script, it seems something like file object is still open, and plt.savefig
method for writing can not read from that stream completely. but there is a block
option for plt.show
that can change this behavior, so you can use it:
plt.show(block=False)
plt.savefig("Graph.png", format="PNG")
或者只是评论它:
# plt.show()
plt.savefig("Graph.png", format="PNG")
或者在展示之前保存:
plt.savefig("Graph.png", format="PNG")
plt.show()
演示:这里
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