"Pyplot 박스플롯"의 두 판 사이의 차이

 
(사용자 2명의 중간 판 6개는 보이지 않습니다)
6번째 줄: 6번째 줄:
;matplotlib 박스플롯
;matplotlib 박스플롯
;matplotlib.pyplot 박스플롯
;matplotlib.pyplot 박스플롯
<source lang='python'>
 
==예시 1==
<syntaxhighlight lang='python' notebook=1>
import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")
 
_, ax = plt.subplots()
ax.boxplot(df['sepal_width'])
plt.show()
</syntaxhighlight>
 
==예시  2==
<syntaxhighlight lang='python' notebook=2>
import numpy as np
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
13번째 줄: 26번째 줄:
samp2 = np.random.normal(loc=1, scale=2, size=100)
samp2 = np.random.normal(loc=1, scale=2, size=100)
samp3 = np.random.normal(loc=0.3, scale=1.2, size=100)
samp3 = np.random.normal(loc=0.3, scale=1.2, size=100)
f, ax = plt.subplots(1, 1, figsize=(8,6))
 
_, ax = plt.subplots(1, 1, figsize=(8,6))
ax.boxplot((samp1, samp2, samp3))
ax.boxplot((samp1, samp2, samp3))
ax.set_xticklabels(['sample 1','sample 2','sample 3'])
ax.set_xticklabels(['sample 1','sample 2','sample 3'])
plt.show()
plt.show()
</source>
</syntaxhighlight>
 
[[파일: matplotlib-boxplot-1.png]]


==같이 보기==
==같이 보기==
* [[박스플롯]]
* [[matplotlib]]
* [[matplotlib]]
* [[boxplot]]
* [[Python 박스플롯]]


[[분류: pyplot]]
[[분류: pyplot]]
[[분류: 차트]]
[[분류: Python 차트]]

2021년 8월 1일 (일) 17:56 기준 최신판

1 개요[ | ]

pyplot boxplot
matplotlib boxplot
matplotlib.pyplot boxplot
pyplot 박스플롯
matplotlib 박스플롯
matplotlib.pyplot 박스플롯

2 예시 1[ | ]

import pandas as pd
import matplotlib.pyplot as plt
df = pd.read_csv("https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv")

_, ax = plt.subplots()
ax.boxplot(df['sepal_width'])
plt.show()

3 예시 2[ | ]

import numpy as np
import matplotlib.pyplot as plt

samp1 = np.random.normal(loc=0, scale=1, size=100)
samp2 = np.random.normal(loc=1, scale=2, size=100)
samp3 = np.random.normal(loc=0.3, scale=1.2, size=100)

_, ax = plt.subplots(1, 1, figsize=(8,6))
ax.boxplot((samp1, samp2, samp3))
ax.set_xticklabels(['sample 1','sample 2','sample 3'])
plt.show()

4 같이 보기[ | ]

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