Python matplotlib读取excel数据并用for循环画多个子图subplot操作
读取excel数据需要用到xlrd模块,在命令行运行下面命令进行安装
pip install xlrd
表格内容大致如下,有若干sheet,每个sheet记录了同一所学校的所有学生成绩,分为语文、数学、英语、综合、总分
考号 | 姓名 | 班级 | 学校 | 语文 | 数学 | 英语 | 综合 | 总分 |
... | ... | ... | ... | 136 | 136 | 100 | 57 | 429 |
... | ... | ... | ... | 128 | 106 | 70 | 54 | 358 |
... | ... | ... | ... | 110.5 | 62 | 92 | 44 | 308.5 |
画多张子图需要用到subplot函数
subplot(nrows, ncols, index, **kwargs)
想要在一张画布上按如下格式画多张子图
语文 --- 数学
英语 --- 综合
----- 总分 ----
需要用的subplot参数分别为
subplot(321) --- subplot(322)
subplot(323) --- subplot(324)
subplot(313)
#!/usr/bin/env python # -*- coding:utf-8 -*- from xlrd import open_workbook as owb import matplotlib.pyplot as plt #import matplotlib.colors as colors #from matplotlib.ticker import MultipleLocator, FormatStrFormatter, FuncFormatter import numpy as np districts=[] # 存储各校名称--对应于excel表格的sheet名 data_index = 0 new_colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf'] wb = owb('raw_data.xlsx') # 数据文件 active_districts = ['二小','一小','四小'] ## 填写需要画哪些学校的,名字需要与表格内一致 avg_yuwen = [] avg_shuxue = [] avg_yingyu = [] avg_zonghe = [] avg_total = [] '按页数依次读取表格数据作为Y轴参数' for s in wb.sheets(): #以下两行用于控制是否全部绘图,还是只绘选择的区 #if s.name not in active_districts: # continue print('Sheet: ', s.name) districts.append(s.name) avg_score = 0 yuwen = 0 shuxue = 0 yingyu = 0 zonghe = 0 zongfen = 0 total_student = 0 for row in range(1,s.nrows): total_student += 1 #读取各科成绩并计算平均分 yuwen = yuwen + (s.cell(row, 4).value - yuwen)/total_student # 语文 shuxue = shuxue + (s.cell(row, 5).value - shuxue) / total_student # 数学 yingyu = yingyu + (s.cell(row, 6).value - yingyu) / total_student # 英语 zonghe = zonghe + (s.cell(row, 7).value - zonghe) / total_student # 综合 zongfen = zongfen + (s.cell(row, 8).value - zongfen) / total_student # 总分 avg_yuwen.append(yuwen) avg_shuxue.append(shuxue) avg_yingyu.append(yingyu) avg_zonghe.append(zonghe) avg_total.append(zongfen) data_index += 1 print('开始画图...') plt.rcParams['font.sans-serif']=['SimHei'] # 中文支持 plt.rcParams['axes.unicode_minus']=False # 中文支持 figsize = 11,14 fig = plt.figure(figsize=figsize) fig.suptitle('各校各科成绩平均分统计',fontsize=18) my_x=np.arange(len(districts)) width=0.5 ax1 = plt.subplot(321) #total_width=width*(len(districts)) b = ax1.bar(my_x , avg_yuwen, width, tick_label=districts, align='center', color=new_colors) for i in range(0,len(avg_yuwen)): ax1.text(my_x[i], avg_yuwen[i], '%.2f' % (avg_yuwen[i]), ha='center', va='bottom',fontsize=10) ax1.set_title(u'语文') ax1.set_ylabel(u"平均分") ax1.set_ylim(60, 130) ax2 = plt.subplot(322) ax2.bar(my_x, avg_shuxue, width, tick_label=districts, align='center', color=new_colors) for i in range(0, len(avg_shuxue)): ax2.text(my_x[i], avg_shuxue[i], '%.2f' %(avg_shuxue[i]), ha='center', va='bottom', fontsize=10) ax2.set_title(u'数学') ax2.set_ylabel(u'平均分') ax2.set_ylim(50,120) ax3 = plt.subplot(323) b = ax3.bar(my_x , avg_yingyu, width, tick_label=districts, align='center', color=new_colors) for i in range(0,len(avg_yingyu)): ax3.text(my_x[i], avg_yingyu[i], '%.2f' % (avg_yingyu[i]), ha='center', va='bottom',fontsize=10) ax3.set_title(u'英语') ax3.set_ylabel(u"平均分") ax3.set_ylim(30, 100) ax4 = plt.subplot(324) b = ax4.bar(my_x , avg_zonghe, width, tick_label=districts, align='center', color=new_colors) for i in range(0,len(avg_zonghe)): ax4.text(my_x[i], avg_zonghe[i], '%.2f' % (avg_zonghe[i]), ha='center', va='bottom',fontsize=10) ax4.set_title(u'综合') ax4.set_ylabel(u"平均分") ax4.set_ylim(0, 60) ax5 = plt.subplot(313) total_width=width*(len(districts)) b = ax5.bar(my_x , avg_total, width, tick_label=districts, align='center', color=new_colors) for i in range(0,len(avg_total)): ax5.text(my_x[i], avg_total[i], '%.2f' % (avg_total[i]), ha='center', va='bottom',fontsize=10) ax5.set_title(u'总分') ax5.set_ylabel(u"平均分") ax5.set_ylim(250, 400) plt.savefig('avg.png') plt.show()
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