python matplot画图

做个简单记录，免得下次重新找API

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pylab import *

mpl.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus']=False #用来正常显示负号


#**************************************************************************************************************
# 直方图
# X = np.linspace(-np.pi, np.pi, 256, endpoint=True)
# C,S = np.cos(X), np.sin(X)
# plt.plot(X, C, color='blue', linewidth=6.0, linestyle='-')
# plt.plot(X, S, color='red', linewidth=3.0, linestyle='--')
# plt.show()

# data = pd.read_csv('data.csv')
# data.x.plot(kind = 'hist', bins = 20, color = 'blue', edgecolor = 'black', density = True, label = '直方图')
# data.x.plot(kind = 'kde', color = 'red', label = '核密度图')
# plt.xlabel('x')
# plt.ylabel('核密度值')
# # 显示图例
# plt.legend()
# # 显示图形
# plt.show()

#**************************************************************************************88
# 画柱状图
# y = [11, 343, 0]
# x = ['数据全部失效', '数据无失效', '数据部分失效']
# plt.bar(x, y, width=0.3, color=(0, 0.4470, 0.7410))
# plt.xlabel('数据失效情况')
# plt.ylabel("数量")
# plt.title("285号数据样本各类操作变量数据残缺情况数目")
# for a, b in zip(x, y):
#     plt.text(a, b, '%.0f' % b, ha='center', va='bottom', fontsize=11)
# plt.show()

#*********************************************************************************************8
# 折线图
mse = [0.002494, 0.002411, 0.002301, 0.002243, 0.002257, 0.002289, 0.002204, 0.002322, 0.002382]
r2 = [0.879465, 0.883461, 0.88878, 0.8916, 0.890903, 0.889347, 0.893444, 0.88775, 0.884849]
s = [3.24000032,4.4600032,4.68000324,4.68000324,4.68000324,4.68000324,4.68000324,4.68000324,4.68000324,4.52000196,4.52000196,4.52000196,4.52000196,4.52000196]

# x = range(0, 14, 1)
x= [0,1,2,3,4,5,6,7,8,9,10,11,12,13]
y = s
plt.plot(x, y, color='r', marker='o', markerfacecolor='blue')
# 设置数字标签
# for a, b in zip(x, y):
#     plt.text(a, b, b, ha='center', va='bottom', fontsize=10)
plt.xlabel('操作单位次数')
plt.ylabel('预测产品硫含量')
plt.title('预测产品硫含量随单位操作次数的变化')
plt.xticks(x,x[::1])
plt.show()