使用matplotlib画柱状图
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
# 显示中文
from matplotlib.font_manager import *
import matplotlib.pyplot as plt
mpl.rcParams['font.sans-serif'] = ['SimHei']
# data_file 数据文件路径
data_file = './data.xlsx'
# 读取文件数据
data = pd.read_excel(data_file, index_col=None)
data = data.iloc[:, 0].values
# 首先将pandas读取的数据转化为array
data_array = np.array(data)
# 然后转化为list形式
data_list =data_array.tolist()
print(len(data_list))
plt.bar(range(len(data_list)), data_list)
font = {'family' : 'Times New Roman',
'weight' : 'normal',
'size' : 15,
}
# x轴的标题，并且设置标题的字体和大小
plt.xlabel("eigenvectors of color LBP", font)
# 设置x,y坐标轴的显示区间，字体，字号
plt.xticks(np.arange(0, 256, 50), fontproperties='Times New Roman', size = 13)
plt.yticks(np.arange(0, 0.05, 0.01), fontproperties='Times New Roman', size = 13)
plt.ylim((0, 0.05))
ax = plt.gca() #gca:get current axis得到当前轴
#设置图片的右边框和上边框为不显示
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
plt.show()
