"Pyplot 박스플롯"의 두 판 사이의 차이

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[ | ]

@@ 1번째 줄: / 1번째 줄: @@
 ==개요==
-;matplotlib boxplot
+;pyplot boxplot
+;matplotlib boxplot
+;matplotlib.pyplot boxplot
+;pyplot 박스플롯
+;matplotlib 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 matplotlib.pyplot as plt
@@ 9번째 줄: / 26번째 줄: @@
 samp2 = np.random.normal(loc=1, scale=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.set_xticklabels(['sample 1','sample 2','sample 3'])
 plt.show()
-</source>
+</syntaxhighlight>
-[[파일: matplotlib-boxplot-1.png]]
 ==같이 보기==
+* [[박스플롯]]
 * [[matplotlib]]
-* [[boxplot]]
+* [[Python 박스플롯]]
-[[분류: matplotlib]]
+[[분류: pyplot]]
+[[분류: Python 차트]]