bro's coding

import numpy as np import pandas as pd import matplotlib.pyplot as plt data =pd.read_csv('CARD_SUBWAY_MONTH_201905.txt') data.head(20) data.tail() data.info() data.describe() data.index data.columns data['사용일자'] data.사용일자 # 같은 표현 data2=data[['승차총승객수','하차총승객수']] data2 data2.values # pandas ->numpy data[data.승차총승객수

pandas 개념 - pandas 는 dict를 학장한 갠념이다 - 2차원 테이블 형태를 주로 다룬다 - 주로 칼럼 위주로 처리가 일어난다 - pansdas 데이터에는 항상 칼럼명과 인덱스가 붙는다 - 데이터 타입 종류 > pd.DataFrame > pd.Deries

plt.plot(range(5),range(10,20,2))​ import numpy as np import matplotlib.pyplot as plt plt.plot(range(5),range(10,20,2)) plt.axis('equal')

plt.savefig('myplot.jpg',dpi=10000)

import numpy as np import matplotlib.pyplot as plt plt.axis([-10,10,-10,10]) plt.vlines([0,5,-5],-10,10,linestyles=':') # 수직으로 점(0,5,-5)에 -10에서 10까지 그려라 plt.hlines([0,5,-5],-10,10,linestyles=':') # ([그리는 좌표],길이,선 스타일) plt.text(0,0,'hello',fontsize=20,va='top',ha='right') # 글 쓰기 # 화살표 plt.annotate('zero',xy=(0,0),xytext=(5,5),arrowprops=dict(facecolor='black')) # (문자,xy=화살표 방향, xytext=문자,화살표 위치,a..

import numpy as np import matplotlib.pyplot as plt plt.subplot(2,2,1) plt.plot([1,2,3,4]) plt.subplot(2,2,2) plt.scatter(np.random.randn(100),np.random.randn(100)) plt.subplot(2,2,3) plt.bar(range(10),range(10)) plt.subplot(2,2,4) plt.imshow(np.random.randn(64,64)) matplotlib.subplot(그래프 여러개 그리기 1) axes[0,0].plot([1,2,3,4]) import numpy as np import matplotlib.pyplot as plt axes[0,0].plot([1,2,3..

axes[0,0].plot([1,2,3,4]) import numpy as np import matplotlib.pyplot as plt axes[0,0].plot([1,2,3,4]) axes[0,1].scatter(np.random.randn(100),np.random.randn(100)) axes[1,0].bar(range(10),range(10)) axes[1,1].imshow(np.random.randn(64,64)) fig.suptitle('Test',fontsize=20) axes[0,0].set_title('Test1') matplotlib.subplot(그래프 여러개 그리기 2) import numpy as np import matplotlib.pyplot as plt plt.subplot..

import numpy as np import matplotlib.pyplot as plt x=np.arange(-1,1,0.1) y=np.arange(-1,1,0.1) X,Y=np.meshgrid(x,y) Z=np.exp(-(X**2+Y**2)) CS=plt.contourf(X,Y,Z,levels=np.arange(-1,1,0.05),alpha=0.5,cmap='seismic') plt.colorbar() CS=plt.contour(X,Y,Z,levels=np.arange(-1,1,0.05)) plt.clabel(CS,inline=2,fontsize=10) https://broscoding.tistory.com/81 matplotlib.contour(등고선 그리기 1) import numpy as np..

import numpy as np import matplotlib.pyplot as plt # x,y의 구간 설정 x=np.arange(-1,1,0.1) y=np.arange(-1,1,0.1) # x,y에 대한 관계좌표 설정 X,Y=np.meshgrid(x,y) # X,Y에 관한 Z값 설정 Z=np.sin(X*Y) #var = plt.contour(X, Y, Z, 레벨 설정) CS=plt.contour(X,Y,Z,levels=np.arange(-1,1,0.2)) #주석 달아주기 plt.clabel(CS,inline=2,fontsize=10) # 컬러바 생성 plt.colorbar() https://broscoding.tistory.com/82 matplotlib.contourf(등고선 그리기 2) imp..

import matplotlib.pyplot as plt img=plt.imread('제목 없음.png') plt.imshow(img*[2.,1.,1.],vmax=1)