我的画图流：画图工具与技巧分享

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https://excalidraw.com/#room=91bd46ae3aa84dff9d20,pfLqgEoY1c2ioq8LmGwsFA

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graph mygraph {
1 -- 2 -- 3;
2 -- 4;
}
// graph 标识来定义一个无向图

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digraph mydigraph {
1 -> 2 -> 3;
2 -> 4;
}
// digraph 标识来定义一个无向图

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属性名 = 属性值

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strict graph {
// 设置节点属性
1 [shape=box];
3 [shape=triangle];

// 设置边属性
1 -- 2 [color=blue];
1 -- 3 [style=dotted];
}

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digraph graph_attr
{
graph[bgcolor="yellow" label="标题" fontsize=24 fontcolor="green"];

1 -> 2;
1 -> 3;
}

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digraph {
rankdir="TB"
a -> b -> c;
}

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digraph {
rankdir="LR"
a -> b -> c;
}

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digraph 土地财政时间线 {
size="7,8";
node [fontsize=24, shape = plaintext];

1976 -> 1985;
1985 -> 1994;
1994 -> 1998;
1998 -> 1999;
1999 -> 2000;
2000 -> 2001;
2001 -> 2002;
2002 -> 2008;
2008 -> 2009;
2009 -> 2014;
2014 -> 2015;

node [fontsize=20, shape = box];
{ rank=same;  1976 "改革开放"; }
{ rank=same;  1985 "财政包干"; }
{ rank=same;  1994 "分税制改革"; }
{ rank=same;  1998 "住房商品化改革" "《中华人民共和国土地管理法》实施"; }
{ rank=same;  1999 "土地财政兴起"; }
{ rank=same;  2000 "工业化" "城市化" "土地金融"; }
{ rank=same;  2001 "房价"; }
{ rank=same;  2002 "所得税改革"; }
{ rank=same;  2008 "金融危机" "四万亿刺激"; }
{ rank=same;  2009 "房地产与基建投资激增"; }
{ rank=same;  2014 "产能积压" "库存过剩"; }
{ rank=same;  2015 "棚改货币化" "涨价去库存" ; }

"改革开放" -> "财政包干";
"财政包干" -> "分税制改革"[label="地方政府收入下降"];
"分税制改革" -> "所得税改革"[label="地方政府占比下降"];
"所得税改革" -> "土地金融"[label="促进"]
"分税制改革" -> "土地财政兴起"[label="推动"]
"土地财政兴起" -> "工业化";
"土地财政兴起" -> "城市化";
"土地金融" -> "城市化"[label="促进" color ="red"];
"土地金融" -> "房价"[label ="推高"]
"城市化" -> "房价"[label ="推高"]
"土地财政兴起" -> "土地金融"[label="地方政府收入增加"];
"土地金融" -> "工业化"[label="促进" color ="red"];
"住房商品化改革" -> "土地财政兴起"[label="停止福利分房"];
"《中华人民共和国土地管理法》实施" -> "土地财政兴起"[label="限制农业用地非农用途"];
"金融危机" -> "四万亿刺激";
"四万亿刺激" -> "房地产与基建投资激增"[label="宽松货币政策"]
"房地产与基建投资激增" -> "产能积压";
"房地产与基建投资激增" -> "库存过剩";
"房地产与基建投资激增" -> "土地金融"[label="强化"];
"产能积压" -> "涨价去库存";
"库存过剩" -> "涨价去库存";
"棚改货币化" -> "房价起飞";
"涨价去库存" -> "房价起飞";
"房价" -> "房价起飞"[label ="逐年上涨"];
}

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@startuml
participant Participant as Foo
actor       Actor       as Foo1
boundary    Boundary    as Foo2
control     Control     as Foo3
entity      Entity      as Foo4
database    Database    as Foo5
collections Collections as Foo6
queue       Queue       as Foo7
Foo -> Foo1 : To actor
Foo -> Foo2 : To boundary
Foo -> Foo3 : To control
Foo -> Foo4 : To entity
Foo -> Foo5 : To database
Foo -> Foo6 : To collections
Foo -> Foo7: To queue
Foo <-- Foo7: Response from queue
@enduml

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@startuml
start
repeat
	:Test something;
	if (Something went wrong?) then (no)
	#palegreen:OK;
	break
endif
->NOK;
:Alert "Error with long text";
repeat while (Something went wrong with long text?) is (yes) not (no)
->//merged step//;
:Alert "Success";
stop
@enduml

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# 运行下面代码前，确保依赖已安装
# pip3 install matplotlib --user
import math, random
import matplotlib.pyplot as plt
plt.xkcd()

class Location(object):
    def __init__(self, x, y):
	self.x = float(x)
	self.y = float(y)

    def move(self, xc, yc):
	return Location(self.x + float(xc), self.y + float(yc))

    def getCoords(self):
	return self.x, self.y

    def getDist(self, other):
	ox, oy = other.getCoords()
	xDist = self.x - ox
	yDist = self.y - oy
	return math.sqrt(xDist**2 + yDist **2)

class CompassPt(object):
    possibles = ('N', 'S', 'E', 'W')
    def __init__(self, pt):
	if pt in self.possibles:
	    self.pt = pt
	else:
	    raise ValueError("in CompassPt.__init__")

    def move(self, dist):
	if self.pt == "N":
	    return (0, dist)
	elif self.pt == "S":
	    return (0, -dist)
	elif self.pt ==  "E":
	    return (dist, 0)
	elif self.pt == "W":
	    return (-dist, 0)
	else:
	    raise ValueError("in CompassPt.move")

class Field(object):
    def __init__(self, drunk, loc):
	self.drunk = drunk
	self.loc = loc

    def move(self, cp, dist):
	oldLoc = self.loc
	xc, yc = cp.move(dist)
	self.loc = oldLoc.move(xc,yc)

    def getLoc(self):
	return self.loc

    def getDrunk(self):
	return self.drunk


class Drunk(object):
    def __init__(self, name):
	self.name = name

    def move(self, field, time = 1):
	if field.getDrunk() != self:
	    raise ValueError("Drunk.move called with drunk not in field")

	for i in range(time):
	    pt = CompassPt(random.choice(CompassPt.possibles))
	    field.move(pt, 1)

def performTrial(time,f ):
    start = f.getLoc()
    distances = [0.0]
    for t in range(1, time+1):
	f.getDrunk().move(f)
	newLoc = f.getLoc()
	distance = newLoc.getDist(start)
	distances.append(distance)
    return distances

def firstTest():
    drunk= Drunk("Homser Simpson")
    for i in range(5):
	f = Field(drunk, Location(0, 0))
	distances = performTrial(500, f)
	plt.plot(distances)
	plt.title("Homer's random Walk")
	plt.xlabel("Time")
	plt.ylabel("Distance from origin")
	fname = "images/mit6.00/simulation_random_walk_trail1.png"
	plt.savefig(fname)
    return fname

return firstTest()

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```python
print("helloworld")
```

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#+begin_src python
  print("helloworld")
#+end_src