第 25 行创建了一个图表,其中 node 和 link是字典。node 使用的 label 对象由唯一的 Depts 院系组成,而 link 使用的两个列表分别由 sending"院系的索引和 acepting 院系的索引组成。 importpandasaspd importplotly.graph_objectsasgr data={ 'Sending_Dept':['5A','4A','5B','5A','4B','4A','3A',...
dept_index=Dept_indices[dept]accepting_indices.append(dept_index)flowvalues=df['FlowValue'].tolist()# Sankey diagramfig=gr.Figure(data=[gr.Sankey(node=dict(pad=10,thickness=25,line=dict(color="red",width=0.8),label=Depts,),link=dict(source=sending_indices,target=accepting_indices,value=flow...
Sankey( valueformat=".0f", valuesuffix="TWh", # 点 node=dict( pad=15, thickness=15, line=dict(color = "black", width = 0.5), label=data['data'][0]['node']['label'], color=data['data'][0]['node']['color'] ), # 线 link=dict( source=data['data'][0]['link']['...
label = data['data'][0]['node']['label'], # 数据中对应的标签和颜色 color = data['data'][0]['node']['color'] ), # 连接数据 link = dict( # 父节点、子节点、流量的值、节点名称、颜色设置 source = data['data'][0]['link']['source'], target = data['data'][0]['link'][...
['node']['label'], color=data['data'][0]['node']['color'] ), # 线 link=dict( source=data['data'][0]['link']['source'], target=data['data'][0]['link']['target'], value=data['data'][0]['link']['value'], label=data['data'][0]['link']['label'], color=data[...
参考Link: (1)用Python的networkx绘制精美网络图 (2)python-plot and networkx绘制网络关系图 #networkx有四种图 Graph 、DiGraph、MultiGraph、MultiDiGraph,分别为无多重边无向图、无多重边有向图、有多重边无向图、有多重边有向图。 import network as nx ...
(r"$Node ID$")ax.set_ylabel(r"$Disp/m$")ax.set_ylim([-4e-2,4e-2])ax.set_xlim([-1,27])ax.xaxis.set_minor_locator(MultipleLocator(1))ax.plot(range(len(disp)),disp,"r*-")ax2.set_xlabel(r"$Element ID$")ax2.set_xlim([-1,46])ax2...
edge_color='source', node_color='index', width=700, height=700 ) ).select(value=(5, None)) # Display the plot chord 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. ...
""" class node: # BST data structure def __init__(self, val): self.val = val self.left = None self.right = None def insert(self, val): if self.val: if val < self.val: if self.left is None: self.left = node(val) else: self.left.insert(val) elif val > self.val: if ...
defbug_status_picture(df):df.plot.bar()plt.xlabel('Develop')# 设置y周标签 plt.ylabel('Bug number')# 设置图表标题 plt.title('OneApp bug status')# # 设置图例的文字和在图表中的位置 # plt.legend(,loc='upper right')# 设置背景网格线的颜色,样式,尺寸和透明度 ...