from __future__ import print_function  import pandas as pd    catering_sale =(r'C:\Users\Administrator\Desktop\catering_sale.xls') #餐饮数据  data = pd.read_excel(catering_sale, index_col = u'日期') #读取数据，指定“日期”列为索引列  print(data)data = data[(data[u'销量'] > 400)&(data[u'销量'] < 5000)] #过滤异常数据  statistics = data.describe() #保存基本统计量  print(type(statistics))statistics.loc['range'] = statistics.loc['max']-statistics.loc['min'] #极差  statistics.loc['var'] = statistics.loc['std']/statistics.loc['mean'] #变异系数  std = 标准差 mean = 平均值statistics.loc['dis'] = statistics.loc['75%']-statistics.loc['25%'] #四分位数间距    print(statistics)

import numpy as np  import matplotlib.pyplot as pt  x = np.arange(0 , 360,step = 10)  print(x)y = np.sin( x*np.pi/180.0 )  print(y)pt.plot(x,y,'ro',color = 'b')  pt.xlim(0,360)  pt.ylim(-1.2,1.2)  pt.title("picture one")  pt.show()   size = 1x = np.arange(size)a = np.random.random(size)b = np.random.random(size)c = np.random.random(size)total_width, n = 0.8, 3width = total_width / nx = x - (total_width - width) / 2for i in np.arange(10):    if i <=  5:        pt.bar(x + i*width, i, width=width, label='a',fc = 'b',ec='black')    else:        pt.bar(x + i*width, -i%5, width=width, label='a',fc = 'b',ec='black')pt.title("picture two")#pt.bar(x + width, b, width=width, label='b')#pt.bar(x + 2 * width, c, width=width, label='c')#pt.legend()pt.show()labels = 'Froges', 'Hogs', 'Dogs', 'Logs'colors = ['yellow','lightskyblue','lightred','orangegreen']fracs = [15, 30, 45, 10]explode = [0, 0.1, 0, 0] # 0.1 凸出这部分，pt.axes(aspect=1)  # set this , Figure is round, otherwise it is an ellipse#autopct ，show percetpt.pie(x=fracs, labels=labels, explode=explode,autopct='%3.1f %%',        shadow=True, labeldistance=1.1, startangle = 90,pctdistance = 0.6         )pt.show()