2. 서브플롯 그리기

import matplotlib.pyplot as plt
import seaborn as sns

ante=sns.load_dataset('anscombe')
ante

df1=ante[ante['dataset']=='I']
df2=ante[ante['dataset']=='II']
df3=ante[ante['dataset']=='III']
df4=ante[ante['dataset']=='IV']

#통계치 확인
df1.describe()

 

df1, df2, df3, df4의 통계값은 다 같다.

 

#시각화하기
plt.plot(df1['x'],df1['y'],'o')

#시각화하기
plt.plot(df1['x'],df1['y'],'o')
plt.plot(df2['x'],df2['y'],'o')
plt.plot(df3['x'],df3['y'],'o')
plt.plot(df4['x'],df4['y'],'o')

헷갈린다.

 

서브플롯 그려보기

plt.figure(figsize=(9,6))
plt.subplot(221)
plt.subplot(222)
plt.subplot(223)
plt.subplot(224)

plt.figure(figsize=(9,6))
plt.subplot(221)
plt.plot(df1['x'],df1['y'],'o')
plt.subplot(222)
plt.plot(df2['x'],df2['y'],'o')
plt.subplot(223)
plt.plot(df3['x'],df3['y'],'o')
plt.subplot(224)
plt.plot(df4['x'],df4['y'],'o')

 

전체 그래프의 속성 지정

plt.figure(figsize=(9,6))
plt.subplot(221)
plt.plot(df1['x'],df1['y'],'o')
plt.title('ax1')
plt.subplot(222)
plt.plot(df2['x'],df2['y'],'o')
plt.title('ax2')
plt.subplot(223)
plt.plot(df3['x'],df3['y'],'o')
plt.title('ax3')
plt.subplot(224)
plt.plot(df4['x'],df4['y'],'o')
plt.title('ax4')

전체 제목 붙이기

fig=plt.figure(figsize=(9,6))
plt.subplot(221)
plt.plot(df1['x'],df1['y'],'o')
plt.title('ax1')
plt.subplot(222)
plt.plot(df2['x'],df2['y'],'o')
plt.title('ax2')
plt.subplot(223)
plt.plot(df3['x'],df3['y'],'o')
plt.title('ax3')
plt.subplot(224)
plt.plot(df4['x'],df4['y'],'o')
plt.title('ax4')

fig.suptitle('Amscome',size=20)

fig.tight_layout()

보기좋게 설정해줌

 

 

fig=plt.figure(figsize=(가로길이, 세로길이))

 

ax1=fig.add_axes([left,bottom,width,height])

ax1.plot(x,y)

ax1.set_title(제목)

 

fig=plt.figure(figsize=(8,6))

ax1=fig.add_axes([0,0.5,0.4,0.4])
ax2=fig.add_axes([0.5,0.5,0.4,0.4])
ax3=fig.add_axes([0,0,0.4,0.4])
ax4=fig.add_axes([0.5,0,0.4,0.4])

ax1.plot(df1['x'],df1['y'],'o')
ax2.plot(df2['x'],df2['y'],'r^')
ax3.plot(df3['x'],df3['y'],'k*')
ax4.plot(df4['x'],df4['y'],'m+')

ax1.set_title('ax1')
ax2.set_title('ax2')
ax3.set_title('ax3')
ax4.set_title('ax4')

 

plt.subplot()을 호출하면 figure과 axes 객체를 생성하여 튜플형태로 반환함.

 

fig,ax=plt.subplots(nrows=2,ncols=2,figsize=(8,6),sharex=True,sharey=True)

ax[0][0].plot(df1['x'],df1['y'],'o')
ax[0][1].plot(df2['x'],df2['y'],'r^')
ax[1][0].plot(df3['x'],df3['y'],'k*')
ax[1][1].plot(df4['x'],df4['y'],'m+')

#그리드 추가
ax[0][0].grid(ls=':')
ax[0][1].grid(ls=':',color='pink')
ax[1][0].grid(ls=':',color='skyblue')
ax[1][1].grid(ls=':',color='green',alpha=0.5)

#그래퍼 전체제목
fig.suptitle('Anscobe',size=20)

 

 

fig=plt.figure(figsize=(9,6),facecolor='ivory')

ax1=fig.add_subplot(2,2,1)
ax2=fig.add_subplot(2,2,2,sharex=ax1,sharey=ax1)
ax3=fig.add_subplot(2,2,3,sharex=ax1,sharey=ax1)
ax4=fig.add_subplot(2,2,4)

# 축 공유

ax1.plot(df1['x'],df1['y'],'o',label='ax1')
ax2.plot(df2['x'],df1['y'],'^',label='ax2')
ax3.plot(df3['x'],df1['y'],'*',label='ax3')
ax4.plot(df4['x'],df1['y'],'+',label='ax4')

#틱 변경하기
ax4.set_xticks(range(1,20,1))

#범례
ax1.legend(loc=2)
ax2.legend(loc=2)
ax3.legend(loc=2)
ax4.legend(loc=2)

fig.suptitle('Anscombe',size=20)

#크기 최적화
fig.tight_layout()

plt.show()

 

 

이미지 내보내기

fig.savefig('1mg100.png',dpi=150)