[데이터시각화] 10. 다중그래프

다중 그래프 그리기

• subplot(행, 열, 번호)

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

x = [1,2,3,4]
y = [2,3,5,10]

수평 다중 그래프

plt.subplot(1, 2, 1) # 1행 2열 영역중 1행 1열 영역
plt.plot(x, y, 'r')
plt.subplot(1, 2, 2) # 1행 2열 영역중 1행 2열 영역
plt.plot(x, y, 'b--')

plt.tight_layout()

수직 다중 그래프

plt.subplot(2, 1, 1) # 2행 1열 영역중 1행 1열 영역
plt.plot(x, y, 'r--')
plt.subplot(2, 1, 2) # 2행 1열 영역중 2행 1열 영역
plt.plot(x, y, 'b')
plt.tight_layout()

그래프에 텍스트 삽입하기

• text(x, y, 텍스트)
• annotate(텍스트, (x,y), 스타일)

x = [1,2,3,4]
y = [2,3,5,10]
style = {'color': 'red', 'weight': 'bold'}
plt.scatter(x, y)
plt.text(1, 2, 2, fontdict=style)
plt.text(2, 3, 3, fontdict=style)
plt.text(3, 5, 5, fontdict=style)
plt.text(4, 10, 10, fontdict=style)

Text(4, 10, '10')

plt.scatter(x, y)
for i in range(len(x)):
    plt.text(x[i], y[i], y[i], fontdict=style)

colors = ['red', 'orange', 'yellow', 'green']
plt.bar(x, y, color=colors)
for i in range(len(x)):
    plt.text(x[i] - 0.05, y[i] + 0.1, y[i], fontdict={'color':'blue', 'weight': 'bold'})

타이타닉 성별 생존자 시각화

titanic = sns.load_dataset('titanic')

ax = sns.countplot(data=titanic, x='alive', hue='sex')
for p in ax.patches:
    ax.annotate(int(p.get_height()), (p.get_x() + 0.15, p.get_height() + 10),
               color='red', weight='bold')
plt.show()

타이타닉 승선 항구별 생존자 시각화

# colors = ['red', 'orange', 'yellow', 'green']
# plt.bar(x, y, color=colors)
# for i in range(len(x)):
#     plt.text(x[i] - 0.05, y[i] + 0.1, y[i], fontdict={'color':'blue', 'weight': 'bold'})

	survived	pclass	sex	age	sibsp	parch	fare	embarked	class	who	adult_male	deck	embark_town	alive	alone
0	0	3	male	22.0	1	0	7.2500	S	Third	man	True	NaN	Southampton	no	False
1	1	1	female	38.0	1	0	71.2833	C	First	woman	False	C	Cherbourg	yes	False
2	1	3	female	26.0	0	0	7.9250	S	Third	woman	False	NaN	Southampton	yes	True
3	1	1	female	35.0	1	0	53.1000	S	First	woman	False	C	Southampton	yes	False
4	0	3	male	35.0	0	0	8.0500	S	Third	man	True	NaN	Southampton	no	True
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
886	0	2	male	27.0	0	0	13.0000	S	Second	man	True	NaN	Southampton	no	True
887	1	1	female	19.0	0	0	30.0000	S	First	woman	False	B	Southampton	yes	True
888	0	3	female	NaN	1	2	23.4500	S	Third	woman	False	NaN	Southampton	no	False
889	1	1	male	26.0	0	0	30.0000	C	First	man	True	C	Cherbourg	yes	True
890	0	3	male	32.0	0	0	7.7500	Q	Third	man	True	NaN	Queenstown	no	True

891 rows × 15 columns