python录音流程图_Python绘制流程图、图解图

Network Charts可能会起作用。查看Networkx docs获取更多详细信息。这也是为大型网络而设计的，但是如果结合几个例子，可以对其进行一些定制，作为流程图。我可以通过一点挖掘来创建这个，它可以作为一个不错的流程图模板。在import pandas as pd

import networkx as nx

import matplotlib.pyplot as plt

plt.figure(figsize = (12,9))

From = ['FoodnProduction', 'Transportation', 'EnergynProduction',

"GreenhousenGasnEmissions",'ClimatenChange','ClimatenFeedbacks','GreenhousenGasnEmissions',

'ClimatenChange']

To = ["GreenhousenGasnEmissions", "GreenhousenGasnEmissions",

"GreenhousenGasnEmissions",'ClimatenChange','ClimatenFeedbacks','GreenhousenGasnEmissions',

'ClimatenChange','Everyone$^{Dies}$']

df = pd.DataFrame({ 'from':From,

'to':To})

# Define Node Positions

pos = {'FoodnProduction':(1,1),

'Transportation':(1,2),

'EnergynProduction':(1,3),

'GreenhousenGasnEmissions':(2,2),

'ClimatenChange':(3,2),

'ClimatenFeedbacks':(2.5,3),

'Everyone$^{Dies}$':(4,2)}

# Define Node Colors

NodeColors = {'FoodnProduction':[1,0,1],

'Transportation':[1,1,0],

'EnergynProduction':[0,1,1],

'GreenhousenGasnEmissions':[1,.5,1],

'ClimatenChange':[0,1,0],

'ClimatenFeedbacks':[0,0,1],

'Everyone$^{Dies}$':[1,0,0]}

Labels = {}

i = 0

for a in From:

Labels[a]=a

i +=1

Labels[To[-1]]=To[-1]

# Build your graph. Note that we use the DiGraph function to create the graph! This adds arrows

G=nx.from_pandas_edgelist(df, 'from', 'to', create_using=nx.DiGraph() )

# Define the colormap and set nodes to circles, but the last one to a triangle

Circles = []

Traingle = []

Colors = []

for n in G.nodes:

if n != 'Everyone$^{Dies}$':

Circles.append(n)

else:

Traingle.append(n)

Colors.append(NodeColors[n])

# By making a white node that is larger, I can make the arrow "start" beyond the node

nodes = nx.draw_networkx_nodes(G, pos,

nodelist = Circles,

node_size=1.25e4,

node_shape='o',

node_color='white',

alpha=1)

nodes = nx.draw_networkx_nodes(G, pos,

nodelist = Circles,

node_size=1e4,

node_shape='o',

node_color=Colors,

edgecolors='black',

alpha=0.5)

nodes = nx.draw_networkx_nodes(G, pos,

nodelist = Traingle,

node_size=1.25e4,

node_shape='>',

node_color='white',

alpha=1)

nodes = nx.draw_networkx_nodes(G, pos,

nodelist = Traingle,

node_size=1e4,

node_shape='>',

node_color=Colors,

edgecolors='black',

alpha=0.5)

nx.draw_networkx_labels(G, pos, Labels, font_size=12)

# Again by making the node_size larer, I can have the arrows end before they actually hit the node

edges = nx.draw_networkx_edges(G, pos, node_size=1.8e4,

arrowstyle='->',width=2,arrowsizes=10)

plt.xlim(0,4.5)

plt.ylim(0,4)

plt.axis('off')

plt.show()