[Python] matplotlib 실습하기 1

matplotlib 설치

pip3 install matplotlib

 

 

import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.show()

 

 

import matplotlib.pyplot as plt
 
x = range(0,100)
y = [v*v for v in x]    # x(0에서 99까지)에서 v값을 하나씩 돌리는데, 결과값은 v*v
plt.plot(x,y,'ro')      # 빨간색 원점으로 표시
plt.show()

 

 

import matplotlib.pyplot as plt
 
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
plt.show()

 

 

import matplotlib.pyplot as plt
 
fig = plt.figure()
ax1 = fig.add_subplot(1,2,1)
ax2 = fig.add_subplot(1,2,2)
plt.show()

 

 

 

import matplotlib.pyplot as plt
 
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
 
x = range(0,100)
y = [v*v for v in x]
 
ax1.plot(x,y)
ax2.bar(x,y)
 
plt.show()

 

 

import numpy as np
import matplotlib.pyplot as plt
 
# 0에서 0.1 간격으로 2 파이 사이에 x값 뽑기 
x = np.arange(0.0, 2*np.pi, 0.1)
#print(x)
 
sin_y = np.sin(x)
cos_y = np.cos(x)
 
fig = plt.figure()
ax1 = fig.add_subplot(2,1,1)
ax2 = fig.add_subplot(2,1,2)
 
ax1.plot(x,sin_y,'b--')
ax2.plot(x,cos_y,'r--')
 
ax1.set_xlabel('x')
ax1.set_ylabel('sin(x)')
 
ax2.set_xlabel('x')
ax2.set_ylabel('cos(x)')
 
plt.show()

 

 

import pandas_datareader.data as web
import matplotlib.pyplot as plt
 
# pip install pandas-datareader 설치할것
 
lg = web.DataReader('066570.KS','yahoo')
samsung = web.DataReader('005930.KS','yahoo')
 
plt.plot(lg.index, lg['Close'], label='LG Electronics')
plt.plot(samsung.index, samsung['Close'], label='Samsung Electronics')
 
plt.legend(loc='upper left')
plt.show()

 

 

import matplotlib.pyplot as plt
 
#fig = plt.figure() 
#ax_list = [[0 for i in range(2)] for j in range(2)] # [[0,0],[0,0]]
#ax_list = [[0]*2] * 2 # [[0,0],[0,0]]
 
#ax_list = fig.add_subplot(2,2,1)
#ax_list = fig.add_subplot(2,2,2)
#ax_list = fig.add_subplot(2,2,3)
#ax_list = fig.add_subplot(2,2,4)
#plt.show()
 
# figure 객체생성과 ax_list 객체로 2X2 그리드 만들기를 동시에
fig, ax_list = plt.subplots(2,2)
ax_list[0][0].plot([1,2,3,4])
 
#print(type(ax_list))
#<class 'matplotlib.axes._subplots.AxesSubplot'>
 
plt.show()

 

 

 

[ 캔들 차트 만들어보기 ]

 

import pandas_datareader.data as web
import datetime
import matplotlib.pyplot as plt
import mpl_finance
 
start = datetime.datetime(2016,3,1)
end   = datetime.datetime(2016,3,31)
 
skhynix = web.DataReader("000660.ks","yahoo",start,end)
 
fig = plt.figure(figsize=(12,8))
ax = fig.add_subplot(111)   # fig.add_subplot(1,1,1) 와 같은 표현
 
mpl_finance.candlestick2_ohlc(ax,skhynix['Open'],skhynix['High'],skhynix['Low'],skhynix['Close'],width=0.5, colorup='r', colordown='b')
 
plt.show()

 

실행하니깐, mpl_finance 가 Deprecate 된 녀석이다. ㄷㄷ 

 

 

 

참고 : wikidocs.net/4760