Matplotlib常用画图代码2
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多条柱状图,中文,图例
代码块
把文章里面用到的代码都粘出来,不然重装系统丢掉后修改文章重画的工作量太大:
# -*- coding: utf-8 -*-import numpy as npfrom matplotlib import pyplot as pltimport matplotlibif __name__ == "__main__": zhfont = matplotlib.font_manager.FontProperties(fname='/usr/share/fonts/truetype/wqy/wqy-microhei.ttc',size=18) matplotlib.rcParams['axes.unicode_minus'] = False plt.figure(figsize=(9,6)) n = 4 X = np.arange(n)+1 plt.clf() Y1 = [0.731,0.894,0.727,0.820] Y2 = [0.750,0.914,0.735,0.838] plt.xticks([1.35,2.35,3.35,4.35], ['S','S+A','S+P','S+C'],size=18) plt.yticks([0.0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0],size=18) plt.xlabel(u'特征组合',fontproperties=zhfont,size=18) plt.ylabel(u'指标值',fontproperties=zhfont,size=18) b1 = plt.bar(X,Y1,width = 0.35,facecolor = 'white',edgecolor = 'black') b2 = plt.bar(X+0.35,Y2,width = 0.35,facecolor = 'black',edgecolor = 'black') plt.legend([b1,b2], [u"准确率",u"F 值"],loc='lower right',prop=zhfont) plt.ylim(0.0,1.0) plt.show()
三点度,幂率分布图绘制
代码块
# -*- coding: utf-8 -*-import time, osimport reimport jsonimport randomimport matplotlib.pyplot as pltfrom matplotlib.backends.backend_pdf import PdfPagesfrom pymongo import MongoClientimport typesimport mathimport matplotlib.pyplot as pltdef popu_scatter(): client = MongoClient("localhost", 27017) db = client['NetEase'] table = db['news_popu_finished'] p = re.compile(r'[0-9]+') commCnt_rem = [] for news in table.find(): commCnt = news['commCount'] if commCnt is None: continue elif type(commCnt) == types.IntType: commCnt_rem.append(commCnt) elif '-' in commCnt: continue else: #print commCnt commCnt = p.findall(commCnt)[0] commCnt_rem.append(commCnt) client.close() commDict = {} for item in commCnt_rem: if int(item) not in commDict: commDict[int(item)] = 1 else: commDict[int(item)] = commDict[int(item)] + 1 target_cnt = 0 for item in commDict: if item >= 0: target_cnt = target_cnt + commDict[item] print target_cnt #print commDict X = [] Y = [] for item in commDict: #print item X.append(math.log10(float(item+1))) Y.append(math.log10(float(commDict[item])+1)) plt.plot(X,Y,'ok',markersize=3,alpha=0.5) plt.xlim(0,7) plt.ylim(0,4) plt.ylabel(u'# news', fontsize = 12, rotation=90) plt.xlabel(u'# views',fontsize = 12) plt.show()if __name__ == "__main__": popu_scatter()
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