Python——plot可视化数据，作业8（python programming）

subject1k和subject1v的形状相同

# -*- coding: utf-8 -*-

import scipy.io as sio

raw_K = sio.loadmat('Subject1K.mat')

raw_V = sio.loadmat('Subject1V.mat')

k = raw_K['Subject1K']

v = raw_V['Subject1V']

ls_col=['r','g','b','orange']

import matplotlib.pyplot as plt

import numpy as np

# 画K

figk = plt.figure()

for i in range(9):

    # 第一维数大小为9

    ax = figk.add_subplot(3,3,i+1)

    for j in range(4):

        # 针对一页中的四列分别画一条曲线

        ax.plot(k[i,:,j],ls_col[j])

figk.show()

# 画V

figv = plt.figure()

for i in range(9):

    ax = figv.add_subplot(3,3,i+1)

    for j in range(4):

        ax.plot(v[i,:,j],ls_col[j])

figv.show()

#以3条曲线展示'Subject1K.mat'中内容的均值和标准差

fig_mean_k=plt.figure()

for i in range(4):

    ax = fig_mean_k.add_subplot(2,2,i+1)

    #kk是一个101*9的矩阵

    kk=k[:,:,i].T

    #求均值

    ls_m = np.mean(kk,axis=1)

    #标准差

    ls_std = np.std(kk,axis=1)

    ax.plot(ls_m,ls_col[i])

    ax.plot(ls_m+ls_std,ls_col[i],linestyle='--')

    ax.plot(ls_m-ls_std,ls_col[i],linestyle='--')

fig_mean_k.show()