matplotlib绘图入门

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

fig =  plt.figure(figsize=(3,6))  # 指定画图区域的大小
ax1 = fig.add_subplot(2,2,1)
ax2 = fig.add_subplot(2,2,2)
ax3 = fig.add_subplot(2,2,4)   # 2*2区域中的第4个图形

# 子图上单独画图
ax1.plot(np.random.randint(1,5,5), np.arange(5))
ax2.plot(np.arange(10)*3, np.arange(10))
plt.show()

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

def sinplot(flip=1):
  x = np.linspace(0,14,100)
  for i in range(1,7):
    plt.plot(x, np.sin(x + 1*.5) * (7-i) * flip)
    
sinplot()  # %matplotlib默认画风

sns.set()   # 出现了网格
sinplot()

sns.set_style("whitegrid")
data = np.random.normal(size=(20,6)) * np.range(6) / 2
sns.boxplt(data=data)