Matplotlib learning notes

import numpy as np
# matplotlib
import matplotlib.pyplot as plt
def plot(x,y,*args):
    ax, title, xlabel, ylabel, legend = args
    ax.set_title(title)
    ax.set_xlabel(xlabel)
    ax.set_ylabel(ylabel)
    ax.plot(x,y,'.')
    ax.legend([legend], 'upper right')
fig, axes = plt.subplots(3,2)
#  Point line diagram 
x = np.linspace(-np.pi, np.pi, 100)
axes[0,0].plot(x, np.sin(x), '.', color='red')
#  Histogram 
x = np.arange(1,10)
# axes[0,1].bar(x, x, color='green', align='center')
axes[0,1].barh(x, x, color='green', align='center')
#  The pie chart 
x = np.array([1,2,3])
axes[1,0].pie(x, explode=[0.1,0,0] , labels=['A', 'B', 'C'])
#  Histogram 
x = np.array([1,2,2,3,3,3])
axes[1,1].hist(x, color = 'yellow', align='left')
#  boxplot 
x = np.array([1,2,3,4,5,6])
axes[2,0].boxplot(x)
#  Scatter plot 
x = np.array([1,2,3,4,5,6])
axes[2,1].scatter(x, x)
#  Save the picture 
# plt.savefig('test.png')
plt.show()