python3

import pandas as pd
datafile=r'D:\python学习\data\data.csv'
resultfile=r'D:\python学习\data\explore.csv'
data=pd.read_csv(datafile, encoding='utf-8')
explore=data.describe(percentiles=[],include='all').T
explore['null']=len(data)-explore['count']
explore=explore[['null','max','min']]
explore.columns=[u'空值数',u'最大值',u'最小值']
explore.to_csv(resultfile)

from datetime import datetime
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt;
ffp=data['FFP_DATE'].apply(lambda x:datetime.strptime(x,'%Y/%m/%d'))
ffp_year=ffp.map(lambda x : x.year)
#绘制各年份会员入会人数直方图
fig=plt.figure(figsize=(8,5))
plt.rcParams['font.sans-serif']='SimHei'
plt.rcParams['axes.unicode_minus']=False
plt.hist(ffp_year,bins='auto',color='#0504aa')
plt.xlabel('年份')
plt.ylabel('入会人数')
plt.title('各年份会员入会人数3127')
plt.show()
plt.close

 

 

#提取会员年龄
age=data['AGE'].dropna()
age=age.astype('int64')
#绘制会员年龄分布箱型图
fig=plt.figure(figsize=(5,10))
plt.boxplot(age,
                 patch_artist=True,
                 labels=['会员年龄'],
                 boxprops={'facecolor':'lightblue'})
plt.title('会员年龄分布箱型图3127')
plt.grid(axis='y')
plt.show()plt.close

 

lv_four = pd.value_counts(data['FFP_TIER'])[4]
lv_five = pd.value_counts(data['FFP_TIER'])[5]
lv_six = pd.value_counts(data['FFP_TIER'])[6]
fig = plt.figure(figsize=(8,5))
plt.bar(x=range(3),height=[lv_four,lv_five,lv_six],width=0.4,alpha=0.8,color='blue')
plt.xticks([index for index in range(3)],['4','5','6'])
plt.xlabel('会员等级')
plt.ylabel('会员人数')
plt.title('3127会员各级别人数')
plt.show()
plt.close()

 

 

male = pd.value_counts(data['GENDER'])['男']
female = pd.value_counts(data['GENDER'])['女']
fig = plt.figure(figsize=(7,4))
plt.pie([male,female],labels=['男','女'],colors=['gold','purple'],autopct='%1.1f%%')
plt.title('3127会员性别比例')
plt.show()