Park-Developer

import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle

#define Matplotlib figure and axis
fig, ax = plt.subplots()

#create simple line plot
ax.plot([0, 10],[0, 10])

#add rectangle to plot

Park-Developer

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

fig, ax = plt.subplots()
xdata, ydata = [], []
ln, = plt.plot([], [], 'ro')

def init():
    ax.set_xlim(0, 2*np.pi)

Park-Developer

import numpy as np
import matplotlib.pyplot as plt

def f(t):
    return np.exp(-t) * np.cos(2*np.pi*t)

def g(t):
    return np.sin(np.pi*t)

t1 = np.arange(0.0, 5.0, 0.01)

Park-Developer

class Node(object):
    def __init__(self, value = None, pointer = None):
        self.value = value
        self.pointer = pointer
    
    def getData(self):
        return self.value
    
    def getNext(self):
        return self.pointer 

Park-Developer

class LinkedListLIFO(object):
    def __init__(self):
        self.head = None
        self.length = 0
    
    # 헤드부터 각 노드의 값을 출력한다.
    def _printList(self):
        node=self.head
        while node:
            print(node.value , end=" ")

Park-Developer

# FIFO


class LinedListFIFO(object):
    def __init__(self):
        self.head = None # 헤드
        self.length = 0
        self.tail= None # 테일
        
    # 헤드부터 각 노드의 값을 출력한다. 

Park-Developer

import re
 
text = "문의사항이 있으면 032-232-3245 으로 연락주시기 바랍니다."
 
regex = re.compile(r'\d\d\d-\d\d\d-\d\d\d\d')
matchobj = regex.search(text)
phonenumber = matchobj.group()
print(phonenumber)  

Park-Developer

import re

st = [m.start() for m	in re.finditer('test', 'test test test test')]

print (st)



# 출처: https://metagenomics.tistory.com/entry/여러번-찾기 [메타지노믹스]

Park-Developer

pattern = r"ca"
text = "caabsacasca"
# 매칭된 값은 이터레이터로 모두 반환
iterator = re.finditer(pattern ,text)
for match in iterator:
	print match.group() # 1回目: ca 2回目: ca 
	print match.start() # 1回目: 0 2回目: 6 
	print match.end() # 1回目: 2 2回目: 8 
	print match.span() # 1回目: (0, 2) 2回目: (6, 8)
  

Park-Developer

import cv2
import numpy as np
import glob

# 영상 읽기 및 표시
img = cv2.imread('pistol.jpg')
cv2.imshow('query', img)

# 비교할 영상들이 있는 경로
search_dir ="101_ObjectCategories"