这篇文章主要介绍了Python matplotlib以日期为x轴作图代码实例,文中通过示例代码介绍的非常详细，对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下

效果图如下

代码如下

from datetime import datetime, date, timedeltaimport matplotlib.pyplot as pltimport tushare as tsplt.rcParams['font.sans-serif'] = ['SimHei'] #显示中文plt.rcParams['axes.unicode_minus']=False #用来正常显示负号def get_riqi(): count = 30 i = 0 today = date.today() #今天日期 riqi_list=[] riqi_list.append(str(today)) while(i<=count): i+=1 riqi_list.append(str((today + timedelta(days=-i)))) return riqi_listdef count(Data): data_list = [] sum_list = [] for data in Data: sum = 0 list = [] for jiage in data: sum+=jiage list.append(jiage) sum_list.append(round(sum,2)) data_list.append(list) return sum_list,data_listdef get_juedui(Data): sum = 0 data = [] for i in Data[::-1]: sum += i data.append(sum) return datatechnology = { '海康威视':'002415', '中兴通讯':'000063', '科大讯飞':'002230', '立讯精密':'002475', '蓝思科技':'300433', '歌尔股份':'002241'}store = [technology]technology = []def get_data(store,riqi_list): count = 0 for Stock_pool in store: count +=1 for stock in Stock_pool.values(): data = ts.get_hist_data(stock,start=riqi_list[-1]) if (count == 1): technology.append(data.loc[:, 'p_change'])riqi_list = get_riqi()get_data(store,riqi_list)riqi_list = technology[0].indexrili = []for riqi in riqi_list: rili.append(riqi[5:])sum2,data2 = count(technology)riqi_list = [datetime.strptime(d, '%m-%d').date() for d in rili]count = 0for i in data2: count+=1 data = get_juedui(i) if(count==1): plt.plot(rili[::-1], data,label = '海康威视' ) if(count==2): plt.plot(rili[::-1], data,label = '中兴通讯' ) if(count==3): plt.plot(rili[::-1], data,label = '科大讯飞' ) if(count==4): plt.plot(rili[::-1], data,label = '立讯精密' ) if (count == 5): plt.plot(rili[::-1], data, label='蓝思科技') if (count == 6): plt.plot(rili[::-1], data, label='歌尔股份')plt.legend()plt.show()

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