ML_Boxplot

boxplot

데이터

import numpy as np

samples = [1, 7, 9, 16, 36, 39, 45, 45, 46, 48, 51, 100, 101]

tmp_y = [1]*len(samples)

plot

import matplotlib.pyplot as plt

plt.figure(figsize=(12, 4))
plt.scatter(samples, tmp_y)
plt.grid
plt.show()

np.median(samples)

np.percentile(samples, 75)

그리기

plt.figure(figsize=(12,4))
plt.scatter(samples, tmp_y)
plt.axvline(x=q1, color='black')
plt.axvline(x=q2, color='red')
plt.axvline(x=q3, color='black')
plt.axvline(x=upper_fence, color='black', linestyle='dashed')
plt.axvline(x=lower_fence, color='black', linestyle='dashed')
plt.show()

import seaborn as sns

plt.figure(figsize=(12,8))
sns.boxplot(samples)
plt.grid()
plt.show()