nxpd的文檔非常清楚如何打印ipython內部的圖形,但是如何將圖形保存爲.png或.pdf?下面的方法讀入包含狀態更改概率的數據幀(mc)和保存繪製圖的輸出路徑。我不清楚如何將nxpd繪製傳遞給pyplot或使用內部保存方法。保存nxpd生成的圖形
NXPD文檔是有限的:https://github.com/chebee7i/nxpd
def DrawMarkov(mc, outputPath):
import matplotlib.pyplot as plt
from pandas import DataFrame
import networkx as nx
from nxpd import draw
## Draw as an internal to ipython
# draw(G, show='ipynb')
## OR
# from nxpd import nxpdParams
# nxpdParams['show'] = 'ipynb'
def Add_Nodes(G, name):
for node in range(0,len(mc)):
# print(node); print(type(node)); print(color_map[node])
G.add_node(node, style='filled', fillcolor=color_map[node],)
def Add_Edges(G,mc):
for start in range(0,len(mc[0])):
# print(start,'\n')
for finish in range(0,len(mc)):
# print(mc[start][finish])
if mc[start][finish]!=0:
G.add_edge(start, finish, weight=mc[start][finish], label=str(mc[start][finish]))
color_map = {0: 'lightblue',
1:'palegreen',
2:'lightcoral'}
## Plot DiGraph
G = nx.DiGraph()
Add_Nodes(G,mc)
Add_Edges(G,mc)
mapping={0:'State1', 1:'State2', 2:'State3'}
G = nx.relabel_nodes(G,mapping)
## Output
draw(G, layout='dot') # , show='ipynb' # unclear how to pass graph to plt
# plt.savefig(os.path.join(outputPath, 'Graph.png'))
會發生什麼?假設它就像networkx一樣,應該這樣做。 – Joel
如果未使用show ='ipynb'參數,則draw()會在新的預覽窗口中生成.png(我在Mac上)。 plt.savefig('graph.png')產生:「AttributeError:'str'對象沒有屬性'savefig'」。 – MyopicVisage
我將如何壓制.png文件的打開並強制它保存? – MyopicVisage