Python matplotlib可视化图形

测试使用python的matplotlib 将数据图形化。

测试脚本：

#!/usr/bin/env python3import osimport matplotlib.pyplot as pltx = []y = []fp = open("score.txt",'r')data = fp.readlines()for i in data:    tempx = (i.split())[0]    tempy = (i.split())[1]    x.append(tempx)    y.append(int(tempy))fp.close()plt.ylim(1, 100)plt.title("Exam Score", fontsize=24)plt.xlabel("Name", fontsize=14)plt.ylabel("Score", fontsize=14)plt.plot(x, y)plt.show()

score.txt文件内容

BJ:pro-test $ cat score.txt shi001  77wangzeng002   90ji003    83wanting004   98xu005     90li006    80jing007 76wangbao008  66wangshi009  84denghao  78

效果图：

整理如下：

#!/usr/bin/env python3import osimport sysimport matplotlib.pyplot as pltresultfile = sys.argv[1]x = []y = []def get_garph():    fp = open(resultfile,'r')    data = fp.readlines()    for i in data:        tempx = (i.split())[0]        tempy = (i.split())[1]        x.append(tempx)        y.append(int(tempy))    fp.close()    plt.ylim(1, 100)    plt.title("Exam Score-2020", fontsize=24)    plt.xlabel("Name", fontsize=14)    plt.ylabel("Score", fontsize=14)    plt.plot(x, y)    plt.show()    returnif __name__ == '__main__':    get_garph()

脚本执行:

python3 data_graph2.py "venv3/score.txt"